10 entries of the following json are not getting uploaded to the firestore db. Could you pls check the json minutely and let me know which entries are causing the issue?

{
    "id": 1233,
    "type": "chartsquestion",
    "question": "The United Nations Environmental Programme (UNEP) has been tracking global renewable energy investments across different sectors. Their latest report presents data on investments in solar, wind, and hydroelectric power over the past decade. The data shows significant variations in investment patterns among these three renewable energy sources.\n\nAnalysts are particularly interested in understanding the trends and implications of these investments. They want to determine which renewable energy source has seen the most consistent growth and might be the most promising for future development. Additionally, they are curious about how the investment patterns might reflect technological advancements, policy changes, or shifts in global energy priorities.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the investment trends in renewable energy sources?",
    "options": [
      "Wind power has seen the most consistent year-over-year growth in investments.",
      "Solar power shows the most dramatic increase in investments over the five-year period.",
      "Hydroelectric power investments have decreased significantly over the five-year period.",
      "Investments in wind power have outpaced those in solar power each year."
    ],
    "answer": "Solar power shows the most dramatic increase in investments over the five-year period.",
    "explanation": "The correct answer is 'Solar power shows the most dramatic increase in investments over the five-year period.' This conclusion is best supported by the data presented in the chart.\n\nLet's analyze each option based on the provided data:\n\n- 'Wind power has seen the most consistent year-over-year growth in investments.' This is incorrect. Wind power investments show inconsistent growth patterns with fluctuations.\n\n- 'Solar power shows the most dramatic increase in investments over the five-year period.' This is correct. Solar power investments have increased significantly from $131.1 billion in 2019 to $337.4 billion in 2023, representing a 157.36% increase.\n\n- 'Hydroelectric power investments have decreased significantly over the five-year period.' This is incorrect. Hydroelectric investments have slightly increased from $15.6 billion in 2019 to $20.2 billion in 2023.\n\n- 'Investments in wind power have outpaced those in solar power each year.' This is incorrect. From 2020 onwards, solar investments have surpassed wind investments.\n\nThe data clearly demonstrates that solar power has experienced the most dramatic growth in investments, with substantial year-over-year increases.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Global Investments in Renewable Energy Sources (Billions of Dollars)",
        "headers": [
          "Year",
          "Solar",
          "Wind",
          "Hydroelectric"
        ],
        "rows": [
          {
            "Year": "2019",
            "Solar": "131.1",
            "Wind": "138.2",
            "Hydroelectric": "15.6"
          },
          {
            "Year": "2020",
            "Solar": "148.6",
            "Wind": "142.7",
            "Hydroelectric": "17.1"
          },
          {
            "Year": "2021",
            "Solar": "205.9",
            "Wind": "138.2",
            "Hydroelectric": "16.3"
          },
          {
            "Year": "2022",
            "Solar": "308.0",
            "Wind": "134.1",
            "Hydroelectric": "18.5"
          },
          {
            "Year": "2023",
            "Solar": "337.4",
            "Wind": "147.4",
            "Hydroelectric": "20.2"
          }
        ]
      }
    }
  },
  {
    "id": 1234,
    "type": "chartsquestion",
    "question": "The global smartphone market has been highly competitive over the past few years, with several major brands vying for market dominance. Market research firms have been tracking the market share of these brands to understand consumer preferences and industry trends.\n\nAnalysts are particularly interested in identifying which brands have shown consistent growth or decline, and how market dynamics have shifted over time. They also want to understand how factors such as technological innovations, pricing strategies, and brand loyalty might be influencing these trends.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the global smartphone market share trends?",
    "options": [
      "Samsung has maintained the highest market share in all years without exception.",
      "Apple shows the most consistent year-over-year growth in market share.",
      "Huawei experienced the most dramatic decline in market share over the five-year period.",
      "Xiaomi's market share decreased significantly over the five-year period."
    ],
    "answer": "Huawei experienced the most dramatic decline in market share over the five-year period.",
    "explanation": "The correct answer is 'Huawei experienced the most dramatic decline in market share over the five-year period.' This conclusion is best supported by the data presented in the table.\n\nLet's analyze each option:\n\n- 'Samsung has maintained the highest market share in all years without exception.' This is incorrect. Apple surpassed Samsung in 2023 with a market share of 20.1% compared to Samsung's 19.4%.\n\n- 'Apple shows the most consistent year-over-year growth in market share.' This is incorrect. Apple's market share fluctuated, decreasing from 2019 to 2020 and increasing thereafter.\n\n- 'Huawei experienced the most dramatic decline in market share over the five-year period.' This is correct. Huawei's market share dropped significantly from 17.0% in 2019 to 2.4% in 2023.\n\n- 'Xiaomi's market share decreased significantly over the five-year period.' This is incorrect. Xiaomi's market share increased from 8.9% in 2019 to 12.5% in 2023.\n\nThe data clearly shows that Huawei experienced the most dramatic decline in market share among all brands.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Global Smartphone Market Share (%)",
        "headers": [
          "Brand",
          "2019",
          "2020",
          "2021",
          "2022",
          "2023"
        ],
        "rows": [
          {
            "2019": "21.6",
            "2020": "19.5",
            "2021": "20.1",
            "2022": "21.6",
            "2023": "19.4",
            "Brand": "Samsung"
          },
          {
            "2019": "13.0",
            "2020": "12.5",
            "2021": "15.9",
            "2022": "18.8",
            "2023": "20.1",
            "Brand": "Apple"
          },
          {
            "2019": "17.0",
            "2020": "14.1",
            "2021": "8.4",
            "2022": "4.3",
            "2023": "2.4",
            "Brand": "Huawei"
          },
          {
            "2019": "8.9",
            "2020": "10.7",
            "2021": "12.5",
            "2022": "13.1",
            "2023": "12.5",
            "Brand": "Xiaomi"
          },
          {
            "2019": "8.6",
            "2020": "8.7",
            "2021": "9.5",
            "2022": "9.0",
            "2023": "13.2",
            "Brand": "Oppo"
          }
        ]
      }
    }
  },
  {
    "id": 1235,
    "type": "chartsquestion",
    "question": "Climate scientists and policymakers have been closely monitoring global CO₂ emissions from various sectors to understand the main contributors to climate change and to develop effective mitigation strategies. The data collected over the past five years shows the CO₂ emissions from five major sectors: Energy, Industry, Agriculture, Transportation, and Buildings.\n\nResearchers are particularly interested in identifying which sectors have shown the most significant changes in emissions and how these trends might reflect the effectiveness of current climate policies or technological advancements. They also want to understand which sectors might require more focused attention in future climate action plans.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in global CO₂ emissions by sector?",
    "options": [
      "The Energy sector has consistently been the largest contributor to CO₂ emissions throughout the five-year period.",
      "The Transportation sector shows a consistent increase in emissions over the five-year period.",
      "Emissions from the Agriculture sector have decreased significantly compared to other sectors.",
      "The Buildings sector has overtaken the Industry sector in emissions by 2023."
    ],
    "answer": "The Energy sector has consistently been the largest contributor to CO₂ emissions throughout the five-year period.",
    "explanation": "The correct answer is 'The Energy sector has consistently been the largest contributor to CO₂ emissions throughout the five-year period.'\n\nLet's analyze each option:\n\n- 'The Energy sector has consistently been the largest contributor to CO₂ emissions throughout the five-year period.' This is correct, as the Energy sector has the highest emissions in each year.\n\n- 'The Transportation sector shows a consistent increase in emissions over the five-year period.' This is incorrect. Transportation emissions decreased from 8.5 to 7.8 billion metric tons.\n\n- 'Emissions from the Agriculture sector have decreased significantly compared to other sectors.' This is incorrect. Agriculture emissions have remained relatively stable, increasing slightly.\n\n- 'The Buildings sector has overtaken the Industry sector in emissions by 2023.' This is incorrect. The Industry sector still has higher emissions than the Buildings sector in 2023.\n\nTherefore, the statement about the Energy sector being the largest contributor is the most accurate based on the data.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Global CO₂ Emissions by Sector (Billion Metric Tons)",
        "headers": [
          "Sector",
          "2019",
          "2020",
          "2021",
          "2022",
          "2023"
        ],
        "rows": [
          {
            "2019": "33.1",
            "2020": "31.5",
            "2021": "33.8",
            "2022": "34.7",
            "2023": "35.2",
            "Sector": "Energy"
          },
          {
            "2019": "12.5",
            "2020": "11.8",
            "2021": "12.2",
            "2022": "11.9",
            "2023": "11.3",
            "Sector": "Industry"
          },
          {
            "2019": "5.3",
            "2020": "5.2",
            "2021": "5.4",
            "2022": "5.3",
            "2023": "5.5",
            "Sector": "Agriculture"
          },
          {
            "2019": "8.5",
            "2020": "7.2",
            "2021": "7.6",
            "2022": "7.9",
            "2023": "7.8",
            "Sector": "Transportation"
          },
          {
            "2019": "8.7",
            "2020": "8.5",
            "2021": "8.8",
            "2022": "9.1",
            "2023": "8.9",
            "Sector": "Buildings"
          }
        ]
      }
    }
  },
  {
    "id": 1236,
    "type": "chartsquestion",
    "question": "Education researchers and policymakers have been tracking global literacy rates across different regions to understand progress in education and identify areas that need more support. The data collected over the past five years shows literacy rates for five major world regions: North America, Europe, Asia, Africa, and South America.\n\nAnalysts are particularly interested in identifying which regions have shown the most significant improvements in literacy rates and how these trends might reflect the effectiveness of educational policies or socio-economic factors. They also want to understand which regions might require more focused attention and resources to improve literacy rates.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in global literacy rates by region?",
    "options": [
      "North America has maintained the highest literacy rate throughout the five-year period.",
      "Africa shows the most significant increase in literacy rates over the five-year period.",
      "Asia's literacy rate has surpassed that of South America by 2023.",
      "Europe's literacy rate has decreased significantly over the five-year period."
    ],
    "answer": "Africa shows the most significant increase in literacy rates over the five-year period.",
    "explanation": "The correct answer is 'Africa shows the most significant increase in literacy rates over the five-year period.' This conclusion is best supported by the data presented in the table.\n\nLet's analyze each option:\n\n1. North America has maintained the highest literacy rate throughout the five-year period. This is incorrect. Europe has consistently had a slightly higher literacy rate than North America throughout the period.\n\n2. Africa shows the most significant increase in literacy rates over the five-year period. This is correct. Africa's literacy rate increased from 66.7% in 2019 to 72.9% in 2023, which is an increase of 6.2 percentage points—the largest among all regions.\n\n3. Asia's literacy rate has surpassed that of South America by 2023. This is incorrect. In 2023, South America's literacy rate is 94.5%, while Asia's is 92.8%; thus, Asia has not surpassed South America.\n\n4. Europe's literacy rate has decreased significantly over the five-year period. This is incorrect. Europe's literacy rate has slightly increased from 97.2% to 97.8% over the five years, not decreased.\n\nThe data clearly shows that Africa has experienced the most significant improvement in literacy rates over the five-year period, indicating positive effects of educational initiatives or socio-economic developments in the region.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Global Literacy Rates by Region (%)",
        "headers": [
          "Region",
          "2019",
          "2020",
          "2021",
          "2022",
          "2023"
        ],
        "rows": [
          {
            "2019": "96.1",
            "2020": "96.3",
            "2021": "96.5",
            "2022": "96.7",
            "2023": "96.9",
            "Region": "North America"
          },
          {
            "2019": "97.2",
            "2020": "97.4",
            "2021": "97.5",
            "2022": "97.7",
            "2023": "97.8",
            "Region": "Europe"
          },
          {
            "2019": "90.1",
            "2020": "90.8",
            "2021": "91.5",
            "2022": "92.2",
            "2023": "92.8",
            "Region": "Asia"
          },
          {
            "2019": "66.7",
            "2020": "68.2",
            "2021": "69.8",
            "2022": "71.4",
            "2023": "72.9",
            "Region": "Africa"
          },
          {
            "2019": "93.1",
            "2020": "93.5",
            "2021": "93.8",
            "2022": "94.2",
            "2023": "94.5",
            "Region": "South America"
          }
        ]
      }
    }
  },
  {
    "id": 1237,
    "type": "chartsquestion",
    "question": "In response to the global pandemic and subsequent economic recovery efforts, central banks worldwide have been adjusting interest rates. The data shows monthly interest rate changes for five major economies over the past 18 months.\n\nEconomists are particularly interested in understanding how different countries have responded to economic challenges and inflationary pressures. They want to identify which economies have been most aggressive in their monetary policy and how these decisions might impact global economic recovery.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in interest rate adjustments across these major economies?",
    "options": [
      "The United States has consistently maintained the highest interest rates throughout the period.",
      "The European Union shows the most gradual and steady increase in interest rates.",
      "Japan has kept its interest rates relatively stable compared to other economies.",
      "The United Kingdom demonstrates the most aggressive interest rate hikes."
    ],
    "answer": "Japan has kept its interest rates relatively stable compared to other economies.",
    "explanation": "The correct answer is 'Japan has kept its interest rates relatively stable compared to other economies.' This conclusion is best supported by the data presented in the table.\n\nLet's analyze each option:\n\n1. The United States has consistently maintained the highest interest rates throughout the period. This is incorrect. While the U.S. interest rates increased significantly over the period, they were not consistently the highest at every point. For instance, in April 2022, Canada's rate was higher than the U.S.\n\n2. The European Union shows the most gradual and steady increase in interest rates. This is incorrect. The EU's interest rate changes were less gradual compared to some other economies.\n\n3. Japan has kept its interest rates relatively stable compared to other economies. This is correct. Japan's interest rate remained constant at -0.1% throughout the entire period, showing stability.\n\n4. The United Kingdom demonstrates the most aggressive interest rate hikes. This is incorrect. While the UK did increase rates, the U.S. showed more significant rate hikes over the period.\n\nJapan's consistent interest rate reflects its long-term monetary policy to combat deflation and stimulate economic growth, contrasting with other countries that adjusted rates in response to inflation and economic recovery efforts.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Monthly Interest Rates for Major Economies (%)",
        "headers": [
          "Month",
          "USA",
          "EU",
          "Japan",
          "UK",
          "Canada"
        ],
        "rows": [
          {
            "Month": "Jan 2022",
            "USA": "0.25",
            "EU": "0.00",
            "Japan": "-0.10",
            "UK": "0.25",
            "Canada": "0.25"
          },
          {
            "Month": "Apr 2022",
            "USA": "0.50",
            "EU": "0.00",
            "Japan": "-0.10",
            "UK": "0.75",
            "Canada": "1.00"
          },
          {
            "Month": "Jul 2022",
            "USA": "2.50",
            "EU": "0.50",
            "Japan": "-0.10",
            "UK": "1.25",
            "Canada": "2.50"
          },
          {
            "Month": "Oct 2022",
            "USA": "3.25",
            "EU": "1.25",
            "Japan": "-0.10",
            "UK": "2.25",
            "Canada": "3.75"
          },
          {
            "Month": "Jan 2023",
            "USA": "4.50",
            "EU": "2.00",
            "Japan": "-0.10",
            "UK": "3.50",
            "Canada": "4.50"
          },
          {
            "Month": "Apr 2023",
            "USA": "5.00",
            "EU": "3.00",
            "Japan": "-0.10",
            "UK": "4.25",
            "Canada": "4.50"
          },
          {
            "Month": "Jun 2023",
            "USA": "5.25",
            "EU": "3.50",
            "Japan": "-0.10",
            "UK": "5.00",
            "Canada": "4.75"
          }
        ]
      }
    }
  },
  {
    "id": 1238,
    "type": "chartsquestion",
    "question": "The rapid development and deployment of artificial intelligence (AI) technologies have sparked intense debate about their potential impact on various job sectors. A recent study has tracked the estimated percentage of jobs at high risk of AI automation across different industries over the past three years.\n\nPolicymakers and industry leaders are keen to understand which sectors are most vulnerable to AI disruption and how quickly the landscape is changing. This information is crucial for developing strategies to mitigate potential job losses and to identify areas where reskilling and upskilling initiatives are most urgently needed.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in AI's potential impact on job sectors, considering the absolute increase in the percentage of jobs at high risk?",
    "options": [
      "The healthcare sector shows the highest risk of job automation across all years.",
      "The finance industry demonstrates the largest absolute increase in automation risk percentage.",
      "Manufacturing jobs have seen a significant decrease in automation risk.",
      "The education sector shows the highest risk of AI automation in 2023."
    ],
    "answer": "The finance industry demonstrates the largest absolute increase in automation risk percentage.",
    "explanation": "The correct answer is 'The finance industry demonstrates the largest absolute increase in automation risk percentage.' This conclusion is best supported by the data presented.\n\nLet's analyze each option based on absolute increases:\n\n1. The healthcare sector shows the highest risk of job automation across all years. This is incorrect. Healthcare's risk remains lower compared to finance and manufacturing.\n\n2. The finance industry demonstrates the largest absolute increase in automation risk percentage. This is correct. The finance industry's estimated risk increased from 15% in 2021 to 45% in 2023, an absolute increase of 30 percentage points—the largest among all industries.\n\n3. Manufacturing jobs have seen a significant decrease in automation risk. This is incorrect. Manufacturing's risk increased from 30% to 40%.\n\n4. The education sector shows the highest risk of AI automation in 2023. This is incorrect. The education sector has the lowest risk at 15% in 2023.\n\nTherefore, the data supports the conclusion that the finance industry has experienced the largest absolute increase in automation risk percentage.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Estimated Percentage of Jobs at High Risk of AI Automation by Industry",
        "headers": [
          "Industry",
          "2021",
          "2022",
          "2023"
        ],
        "rows": [
          {
            "2021": "15%",
            "2022": "30%",
            "2023": "45%",
            "Industry": "Finance"
          },
          {
            "2021": "10%",
            "2022": "15%",
            "2023": "25%",
            "Industry": "Healthcare"
          },
          {
            "2021": "30%",
            "2022": "35%",
            "2023": "40%",
            "Industry": "Manufacturing"
          },
          {
            "2021": "20%",
            "2022": "25%",
            "2023": "35%",
            "Industry": "Retail"
          },
          {
            "2021": "5%",
            "2022": "10%",
            "2023": "15%",
            "Industry": "Education"
          }
        ]
      }
    }
  },
  {
    "id": 1239,
    "type": "chartsquestion",
    "question": "In light of growing concerns about climate change and energy security, many countries have been investing heavily in renewable energy sources. The data shows the percentage of electricity generated from renewable sources for five major economies over the past decade, measured at two-year intervals.\n\nEnvironmental scientists and policymakers are particularly interested in understanding which countries have made the most significant progress in transitioning to renewable energy and how recent global events, such as the COVID-19 pandemic and geopolitical tensions, might have influenced these trends.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in renewable energy adoption across these major economies?",
    "options": [
      "Germany has consistently maintained the highest percentage of renewable energy throughout the decade.",
      "The United States shows the most rapid increase in renewable energy adoption in recent years.",
      "China demonstrates the most significant overall increase in renewable energy percentage from 2013 to 2023.",
      "India's renewable energy adoption has decreased over the decade."
    ],
    "answer": "China demonstrates the most significant overall increase in renewable energy percentage from 2013 to 2023.",
    "explanation": "The correct answer is 'China demonstrates the most significant overall increase in renewable energy percentage from 2013 to 2023.' This conclusion is best supported by the data.\n\nLet's analyze each option:\n\n1. Germany has consistently maintained the highest percentage of renewable energy throughout the decade. This is incorrect. While Germany started with a higher percentage, by 2023, China (55%) and Brazil (52%) have percentages that are comparable to or surpass Germany's (50%).\n\n2. The United States shows the most rapid increase in renewable energy adoption in recent years. This is incorrect. The U.S. showed gradual increases, but not as significant as China's.\n\n3. China demonstrates the most significant overall increase in renewable energy percentage from 2013 to 2023. This is correct. China's percentage increased from 20% to 55%, a 35 percentage point rise—the largest among the countries listed.\n\n4. India's renewable energy adoption has decreased over the decade. This is incorrect. India's renewable energy percentage increased from 15% to 40% over the decade.\n\nThe data indicates that China has made substantial progress in adopting renewable energy, reflecting its significant investments in this sector, likely driven by environmental concerns and energy security considerations.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Percentage of Electricity Generated from Renewable Sources",
        "headers": [
          "Country",
          "2013",
          "2015",
          "2017",
          "2019",
          "2021",
          "2023"
        ],
        "rows": [
          {
            "2013": "20%",
            "2015": "25%",
            "2017": "35%",
            "2019": "40%",
            "2021": "50%",
            "2023": "55%",
            "Country": "China"
          },
          {
            "2013": "13%",
            "2015": "15%",
            "2017": "18%",
            "2019": "22%",
            "2021": "25%",
            "2023": "30%",
            "Country": "USA"
          },
          {
            "2013": "25%",
            "2015": "32%",
            "2017": "38%",
            "2019": "42%",
            "2021": "45%",
            "2023": "50%",
            "Country": "Germany"
          },
          {
            "2013": "15%",
            "2015": "18%",
            "2017": "20%",
            "2019": "25%",
            "2021": "35%",
            "2023": "40%",
            "Country": "India"
          },
          {
            "2013": "30%",
            "2015": "35%",
            "2017": "40%",
            "2019": "45%",
            "2021": "48%",
            "2023": "52%",
            "Country": "Brazil"
          }
        ]
      }
    }
  },
  {
    "id": 1240,
    "type": "chartsquestion",
    "question": "The International Coffee Organization has been tracking global coffee consumption patterns across different regions to understand changing consumer preferences and cultural shifts in beverage consumption. Their latest report presents data on per capita coffee consumption in kilograms for five major world regions over the past five years.\n\nMarket analysts are particularly interested in regional trends and their implications for the global coffee industry. They want to identify which regions show the most potential for market growth and how these consumption patterns might reflect economic development, westernization of diets, or changes in work culture.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in global coffee consumption by region?",
    "options": [
      "Europe has experienced a significant decrease in per capita coffee consumption over the five-year period.",
      "Asia shows the most significant percentage increase in coffee consumption over the five-year period.",
      "North America's coffee consumption has stagnated compared to other regions.",
      "Africa has surpassed South America in per capita coffee consumption by 2023."
    ],
    "answer": "Asia shows the most significant percentage increase in coffee consumption over the five-year period.",
    "explanation": "The correct answer is 'Asia shows the most significant percentage increase in coffee consumption over the five-year period.'\n\nLet's analyze each option:\n\n1. Europe has experienced a significant decrease in per capita coffee consumption over the five-year period. This is incorrect. Europe's per capita consumption increased slightly from 6.8 kg to 7.2 kg, indicating growth rather than a decrease.\n\n2. Asia shows the most significant percentage increase in coffee consumption over the five-year period. This is correct. Asia's per capita consumption increased from 1.3 kg in 2019 to 2.1 kg in 2023, representing a significant percentage increase of approximately 61.5%.\n\n3. North America's coffee consumption has stagnated compared to other regions. This is incorrect. North America's consumption increased from 4.5 kg to 4.8 kg, showing slight growth, not stagnation.\n\n4. Africa has surpassed South America in per capita coffee consumption by 2023. This is incorrect. In 2023, Africa's per capita consumption is 1.1 kg, while South America's is 5.1 kg, so Africa has not surpassed South America.\n\nTherefore, the data supports the conclusion that Asia shows the most significant percentage increase in coffee consumption over the five-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Global Per Capita Coffee Consumption by Region (kg/person/year)",
        "headers": [
          "Region",
          "2019",
          "2020",
          "2021",
          "2022",
          "2023"
        ],
        "rows": [
          {
            "2019": "6.8",
            "2020": "6.9",
            "2021": "7.0",
            "2022": "7.1",
            "2023": "7.2",
            "Region": "Europe"
          },
          {
            "2019": "4.5",
            "2020": "4.6",
            "2021": "4.6",
            "2022": "4.7",
            "2023": "4.8",
            "Region": "North America"
          },
          {
            "2019": "4.8",
            "2020": "4.9",
            "2021": "5.0",
            "2022": "5.0",
            "2023": "5.1",
            "Region": "South America"
          },
          {
            "2019": "1.3",
            "2020": "1.5",
            "2021": "1.7",
            "2022": "1.9",
            "2023": "2.1",
            "Region": "Asia"
          },
          {
            "2019": "0.8",
            "2020": "0.9",
            "2021": "0.9",
            "2022": "1.0",
            "2023": "1.1",
            "Region": "Africa"
          }
        ]
      }
    }
  },
  {
    "id": 1241,
    "type": "chartsquestion",
    "question": "The World Health Organization has been tracking the prevalence of major non-communicable diseases (NCDs) across different age groups globally. Their latest report presents data on the percentage of people affected by five common NCDs: cardiovascular diseases, cancer, chronic respiratory diseases, diabetes, and mental health disorders.\n\nHealth policymakers are particularly interested in understanding how these diseases affect different age groups and how the prevalence changes across the lifespan. This information is crucial for developing targeted prevention strategies, allocating healthcare resources, and planning long-term public health initiatives.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the prevalence of non-communicable diseases across different age groups?",
    "options": [
      "Mental health disorders prevalence increases with age.",
      "The prevalence of cardiovascular diseases increases most dramatically with age.",
      "Cancer rates are highest in the youngest age group compared to other NCDs.",
      "Diabetes shows a decreasing prevalence in older age groups."
    ],
    "answer": "The prevalence of cardiovascular diseases increases most dramatically with age.",
    "explanation": "The correct answer is 'The prevalence of cardiovascular diseases increases most dramatically with age.'\n\nLet's analyze each option:\n\n1. Mental health disorders prevalence increases with age. This is incorrect. The data shows that mental health disorders have a higher prevalence in younger age groups (25% in the 18-29 age group) and decrease with age to 12% in the 75+ age group.\n\n2. The prevalence of cardiovascular diseases increases most dramatically with age. This is correct. Cardiovascular diseases increase significantly from 5% in the 18-29 age group to 45% in the 75+ age group, representing the most dramatic increase among the diseases listed.\n\n3. Cancer rates are highest in the youngest age group compared to other NCDs. This is incorrect. Cancer prevalence increases with age and is highest in the 75+ age group at 25%, not in the youngest group.\n\n4. Diabetes shows a decreasing prevalence in older age groups. This is incorrect. Diabetes prevalence increases with age, from 1% in the youngest group to 20% in the oldest.\n\nTherefore, the data supports the conclusion that the prevalence of cardiovascular diseases increases most dramatically with age.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Prevalence of Non-Communicable Diseases by Age Group (%)",
        "headers": [
          "Disease",
          "18-29",
          "30-44",
          "45-59",
          "60-74",
          "75+"
        ],
        "rows": [
          {
            "Disease": "Cardiovascular diseases",
            "18-29": "5",
            "30-44": "12",
            "45-59": "25",
            "60-74": "38",
            "75+": "45"
          },
          {
            "Disease": "Cancer",
            "18-29": "2",
            "30-44": "5",
            "45-59": "12",
            "60-74": "20",
            "75+": "25"
          },
          {
            "Disease": "Chronic respiratory diseases",
            "18-29": "8",
            "30-44": "10",
            "45-59": "15",
            "60-74": "22",
            "75+": "28"
          },
          {
            "Disease": "Diabetes",
            "18-29": "1",
            "30-44": "5",
            "45-59": "12",
            "60-74": "18",
            "75+": "20"
          },
          {
            "Disease": "Mental health disorders",
            "18-29": "25",
            "30-44": "22",
            "45-59": "18",
            "60-74": "15",
            "75+": "12"
          }
        ]
      }
    }
  },
  {
    "id": 1242,
    "type": "chartsquestion",
    "question": "A financial analyst is reviewing the annual revenue growth rates for five technology companies over the past five years to assess their performance. The companies are Company I, Company II, Company III, Company IV, and Company V.\n\nInvestors are keen to understand which companies are growing the fastest and which might provide the best investment opportunities based on consistent revenue growth.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the revenue growth trends of these companies?",
    "options": [
      "Company III has achieved the highest revenue growth rate every year.",
      "Company V shows the most consistent revenue growth over the five-year period.",
      "Company II's revenue growth rates have fluctuated but show an overall upward trend.",
      "Company I and Company IV have identical revenue growth rates in the final year."
    ],
    "answer": "Company V shows the most consistent revenue growth over the five-year period.",
    "explanation": "The correct answer is 'Company V shows the most consistent revenue growth over the five-year period.' This conclusion is best supported by the data.\n\nLet's analyze each option:\n\n1. Company III has achieved the highest revenue growth rate every year. This is incorrect. While Company III started with the highest growth rate in 2019 (25%), its growth rate decreased over the years and was not the highest in later years.\n\n2. Company V shows the most consistent revenue growth over the five-year period. This is correct. Company V maintained a steady 15% growth rate each year, showing consistency.\n\n3. Company II's revenue growth rates have fluctuated but show an overall upward trend. This is incorrect. Company II's growth rates fluctuated without a clear upward or downward trend (12%, 10%, 8%, 6%, 10%).\n\n4. Company I and Company IV have identical revenue growth rates in the final year. This is incorrect. In 2023, Company I had a growth rate of 12%, and Company IV had 16%.\n\nCompany V's consistent performance may appeal to investors seeking stable growth, indicating reliable management and market position.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Annual Revenue Growth Rates by Company (%)",
        "headers": [
          "Year",
          "Company I",
          "Company II",
          "Company III",
          "Company IV",
          "Company V"
        ],
        "rows": [
          {
            "Year": "2019",
            "Company I": "10",
            "Company II": "12",
            "Company III": "25",
            "Company IV": "8",
            "Company V": "15"
          },
          {
            "Year": "2020",
            "Company I": "12",
            "Company II": "10",
            "Company III": "20",
            "Company IV": "10",
            "Company V": "15"
          },
          {
            "Year": "2021",
            "Company I": "15",
            "Company II": "8",
            "Company III": "15",
            "Company IV": "12",
            "Company V": "15"
          },
          {
            "Year": "2022",
            "Company I": "8",
            "Company II": "6",
            "Company III": "10",
            "Company IV": "14",
            "Company V": "15"
          },
          {
            "Year": "2023",
            "Company I": "12",
            "Company II": "10",
            "Company III": "8",
            "Company IV": "16",
            "Company V": "15"
          }
        ]
      }
    }
  },
  {
    "id": 1243,
    "type": "chartsquestion",
    "question": "Environmental scientists have been tracking deforestation rates in different regions over the past decade. The data shows the annual deforestation rates (in million hectares) for five major regions: Amazonia, Southeast Asia, Central Africa, North America, and Europe.\n\nConservationists are particularly interested in identifying which regions have seen the most significant decreases in deforestation rates, possibly due to successful conservation efforts, policy changes, or economic factors. They also aim to focus future efforts on regions where deforestation remains high.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in deforestation rates across these regions?",
    "options": [
      "Deforestation rates in Amazonia have increased steadily over the past decade.",
      "Europe has experienced a significant increase in deforestation rates throughout the decade.",
      "Southeast Asia shows the most significant decrease in deforestation rates over the ten-year period.",
      "North America has experienced a dramatic increase in deforestation rates."
    ],
    "answer": "Southeast Asia shows the most significant decrease in deforestation rates over the ten-year period.",
    "explanation": "The correct answer is 'Southeast Asia shows the most significant decrease in deforestation rates over the ten-year period.' This conclusion is best supported by the data.\n\nLet's analyze each option:\n\n1. 'Deforestation rates in Amazonia have increased steadily over the past decade.' This is incorrect. Amazonia's deforestation rates have fluctuated but have not shown a steady increase over the decade.\n\n2. 'Europe has experienced a significant increase in deforestation rates throughout the decade.' This is incorrect. Europe's deforestation rates have remained stable at 0.2 million hectares throughout the decade, indicating no significant increase.\n\n3. 'Southeast Asia shows the most significant decrease in deforestation rates over the ten-year period.' This is correct. Southeast Asia's deforestation rates decreased from 2.0 million hectares in 2013 to 1.0 million hectares in 2023, a 50% reduction—the most significant decrease among the regions listed.\n\n4. 'North America has experienced a dramatic increase in deforestation rates.' This is incorrect. North America's deforestation rates have increased slightly from 0.5 to 0.8 million hectares but not dramatically.\n\nTherefore, the data supports the conclusion that Southeast Asia has experienced the most significant decrease in deforestation rates over the ten-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Annual Deforestation Rates by Region (Million Hectares)",
        "headers": [
          "Year",
          "Amazonia",
          "Southeast Asia",
          "Central Africa",
          "North America",
          "Europe"
        ],
        "rows": [
          {
            "Year": "2013",
            "Amazonia": "2.3",
            "Southeast Asia": "2.0",
            "Central Africa": "1.5",
            "North America": "0.5",
            "Europe": "0.2"
          },
          {
            "Year": "2015",
            "Amazonia": "2.5",
            "Southeast Asia": "1.8",
            "Central Africa": "1.4",
            "North America": "0.6",
            "Europe": "0.2"
          },
          {
            "Year": "2017",
            "Amazonia": "2.4",
            "Southeast Asia": "1.6",
            "Central Africa": "1.3",
            "North America": "0.6",
            "Europe": "0.2"
          },
          {
            "Year": "2019",
            "Amazonia": "2.6",
            "Southeast Asia": "1.4",
            "Central Africa": "1.2",
            "North America": "0.7",
            "Europe": "0.2"
          },
          {
            "Year": "2021",
            "Amazonia": "2.7",
            "Southeast Asia": "1.2",
            "Central Africa": "1.1",
            "North America": "0.7",
            "Europe": "0.2"
          },
          {
            "Year": "2023",
            "Amazonia": "2.5",
            "Southeast Asia": "1.0",
            "Central Africa": "1.0",
            "North America": "0.8",
            "Europe": "0.2"
          }
        ]
      }
    }
  },
  {
    "id": 1244,
    "type": "chartsquestion",
    "question": "A study has been conducted to analyze the average internet speeds (in Mbps) in different countries over the last five years. The data includes five countries: Country A, Country B, Country C, Country D, and Country E.\n\nTelecommunication experts are interested in understanding which countries have made the most progress in improving their internet infrastructure and speeds. The focus is on identifying the country with the highest percentage increase in average internet speed over the period.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the percentage increase in average internet speeds across these countries from 2019 to 2023?",
    "options": [
      "Country D's average internet speed has increased by less than 30% over the five-year period.",
      "Country B shows the highest percentage increase in average internet speed from 2019 to 2023.",
      "Country C's average internet speed has decreased over the five-year period.",
      "Country E has the lowest average internet speed in the final year."
    ],
    "answer": "Country B shows the highest percentage increase in average internet speed from 2019 to 2023.",
    "explanation": "The correct answer is 'Country B shows the highest percentage increase in average internet speed from 2019 to 2023.'\n\nLet's calculate the percentage increase for each country:\n\nCountry B:\n- From 25 Mbps to 75 Mbps.\n- Percentage increase = ((75 - 25) / 25) * 100% = 200%.\n\nCountry D:\n- From 70 Mbps to 90 Mbps.\n- Percentage increase = ((90 - 70) / 70) * 100% ≈ 28.6%.\n\nCountry A:\n- From 50 Mbps to 70 Mbps.\n- Percentage increase = ((70 - 50) / 50) * 100% = 40%.\n\nCountry E:\n- From 30 Mbps to 50 Mbps.\n- Percentage increase = ((50 - 30) / 30) * 100% ≈ 66.7%.\n\nCountry C:\n- From 40 Mbps to 46 Mbps.\n- Percentage increase = ((46 - 40) / 40) * 100% = 15%.\n\nTherefore, Country B has the highest percentage increase of 200%, supporting the conclusion.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Internet Speeds by Country (Mbps)",
        "headers": [
          "Year",
          "Country A",
          "Country B",
          "Country C",
          "Country D",
          "Country E"
        ],
        "rows": [
          {
            "Year": "2019",
            "Country A": "50",
            "Country B": "25",
            "Country C": "40",
            "Country D": "70",
            "Country E": "30"
          },
          {
            "Year": "2020",
            "Country A": "55",
            "Country B": "35",
            "Country C": "42",
            "Country D": "75",
            "Country E": "35"
          },
          {
            "Year": "2021",
            "Country A": "60",
            "Country B": "50",
            "Country C": "44",
            "Country D": "80",
            "Country E": "40"
          },
          {
            "Year": "2022",
            "Country A": "65",
            "Country B": "65",
            "Country C": "45",
            "Country D": "85",
            "Country E": "45"
          },
          {
            "Year": "2023",
            "Country A": "70",
            "Country B": "75",
            "Country C": "46",
            "Country D": "90",
            "Country E": "50"
          }
        ]
      }
    }
  },
  {
    "id": 1245,
    "type": "chartsquestion",
    "question": "An international organization has been monitoring the global production of electric vehicles (EVs) over the last six years. The data presents the number of EVs produced by five major automakers: Automaker A, Automaker B, Automaker C, Automaker D, and Automaker E.\n\nIndustry analysts are interested in identifying which automaker has seen the most substantial growth in EV production and how these trends correlate with investments in technology, market demand, and environmental policies.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the trends in EV production among these automakers?",
    "options": [
      "Automaker C has produced the highest number of EVs every year until 2023.",
      "Automaker E shows the most significant growth in EV production over the six-year period.",
      "Automaker A's EV production has declined over the past six years.",
      "Automaker B and Automaker D have merged their EV production efforts in 2023."
    ],
    "answer": "Automaker E shows the most significant growth in EV production over the six-year period.",
    "explanation": "The correct answer is 'Automaker E shows the most significant growth in EV production over the six-year period.'\n\nLet's analyze each option:\n\n1. Automaker C has produced the highest number of EVs every year until 2023. This is correct up to 2022, but in 2023, Automaker E matched Automaker C's production at 200,000 units, so the statement is incorrect as worded.\n\n2. Automaker E shows the most significant growth in EV production over the six-year period. This is correct. Automaker E's production increased from 10,000 units in 2018 to 200,000 units in 2023, a 1900% increase—the most significant among all automakers.\n\n3. Automaker A's EV production has declined over the past six years. This is incorrect. Automaker A's production increased from 50,000 to 120,000 units.\n\n4. Automaker B and Automaker D have merged their EV production efforts in 2023. There is no data indicating a merger between Automaker B and Automaker D.\n\nTherefore, the most supported conclusion is that Automaker E shows the most significant growth in EV production over the six-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Electric Vehicle Production by Automaker (Units)",
        "headers": [
          "Year",
          "Automaker A",
          "Automaker B",
          "Automaker C",
          "Automaker D",
          "Automaker E"
        ],
        "rows": [
          {
            "Year": "2018",
            "Automaker A": "50,000",
            "Automaker B": "30,000",
            "Automaker C": "100,000",
            "Automaker D": "20,000",
            "Automaker E": "10,000"
          },
          {
            "Year": "2019",
            "Automaker A": "60,000",
            "Automaker B": "35,000",
            "Automaker C": "120,000",
            "Automaker D": "25,000",
            "Automaker E": "20,000"
          },
          {
            "Year": "2020",
            "Automaker A": "70,000",
            "Automaker B": "45,000",
            "Automaker C": "140,000",
            "Automaker D": "30,000",
            "Automaker E": "50,000"
          },
          {
            "Year": "2021",
            "Automaker A": "85,000",
            "Automaker B": "60,000",
            "Automaker C": "160,000",
            "Automaker D": "40,000",
            "Automaker E": "100,000"
          },
          {
            "Year": "2022",
            "Automaker A": "100,000",
            "Automaker B": "80,000",
            "Automaker C": "180,000",
            "Automaker D": "55,000",
            "Automaker E": "150,000"
          },
          {
            "Year": "2023",
            "Automaker A": "120,000",
            "Automaker B": "100,000",
            "Automaker C": "200,000",
            "Automaker D": "70,000",
            "Automaker E": "200,000"
          }
        ]
      }
    }
  },
  {
    "id": 1246,
    "type": "chartsquestion",
    "question": "A university has analyzed the average starting salaries of its graduates across different majors over the past four years. The majors include Engineering, Business, Liberal Arts, Education, and Computer Science.\n\nCareer services are interested in understanding salary trends to better advise students on career prospects and to adjust program offerings if necessary.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding starting salary trends across these majors?",
    "options": [
      "Computer Science graduates have the highest average starting salaries in the latest year.",
      "Engineering graduates have seen a decline in starting salaries over the four-year period.",
      "Education majors have the lowest average starting salaries but have experienced steady growth.",
      "Business majors have surpassed Engineering in average starting salaries by 2023."
    ],
    "answer": "Education majors have the lowest average starting salaries but have experienced steady growth.",
    "explanation": "The correct answer is 'Education majors have the lowest average starting salaries but have experienced steady growth.'\n\nLet's analyze each option:\n\n1. Computer Science graduates have the highest average starting salaries in the latest year. This is incorrect. In 2023, Engineering graduates have a starting salary of $78,000, while Computer Science graduates have $76,000.\n\n2. Engineering graduates have seen a decline in starting salaries over the four-year period. This is incorrect. Their salaries have increased from $70,000 to $78,000.\n\n3. Education majors have the lowest average starting salaries but have experienced steady growth. This is correct. Education salaries increased from $35,000 to $40,000 over four years, remaining the lowest among the majors listed but showing steady growth.\n\n4. Business majors have surpassed Engineering in average starting salaries by 2023. This is incorrect. In 2023, Business majors have an average salary of $66,000, which is less than Engineering's $78,000.\n\nTherefore, the most supported conclusion is about Education majors having the lowest starting salaries but experiencing steady growth.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Starting Salaries by Major (USD)",
        "headers": [
          "Year",
          "Engineering",
          "Business",
          "Liberal Arts",
          "Education",
          "Computer Science"
        ],
        "rows": [
          {
            "Year": "2020",
            "Engineering": "70,000",
            "Business": "60,000",
            "Liberal Arts": "45,000",
            "Education": "35,000",
            "Computer Science": "68,000"
          },
          {
            "Year": "2021",
            "Engineering": "72,000",
            "Business": "62,000",
            "Liberal Arts": "46,000",
            "Education": "36,000",
            "Computer Science": "70,000"
          },
          {
            "Year": "2022",
            "Engineering": "75,000",
            "Business": "64,000",
            "Liberal Arts": "47,000",
            "Education": "38,000",
            "Computer Science": "73,000"
          },
          {
            "Year": "2023",
            "Engineering": "78,000",
            "Business": "66,000",
            "Liberal Arts": "49,000",
            "Education": "40,000",
            "Computer Science": "76,000"
          }
        ]
      }
    }
  },
  {
    "id": 1247,
    "type": "chartsquestion",
    "question": "Researchers have been studying the population growth rates of five animal species in a national park over the past five years. The species are Deer, Wolves, Rabbits, Bears, and Foxes.\n\nWildlife biologists are interested in understanding how these populations interact and what factors might be influencing their growth rates, such as predation, food availability, and habitat changes.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the population trends of these animal species?",
    "options": [
      "The Deer population has declined significantly due to increased predation by Wolves.",
      "Rabbits have experienced the most rapid population growth over the five-year period.",
      "The Bear population has remained stable due to consistent habitat conditions.",
      "Fox populations have decreased significantly due to loss of prey species."
    ],
    "answer": "Rabbits have experienced the most rapid population growth over the five-year period.",
    "explanation": "The correct answer is 'Rabbits have experienced the most rapid population growth over the five-year period.'\n\nLet's analyze each option:\n\n1. The Deer population has declined significantly due to increased predation by Wolves. This is incorrect. The Deer population increased from 10,000 to 14,000 over five years.\n\n2. Rabbits have experienced the most rapid population growth over the five-year period. This is correct. The Rabbit population tripled from 5,000 to 15,000, a significant increase.\n\n3. The Bear population has remained stable due to consistent habitat conditions. This is incorrect. The Bear population increased from 50 to 70, showing growth rather than stability.\n\n4. Fox populations have decreased significantly due to loss of prey species. This is incorrect. The Fox population showed slight fluctuations but did not decrease significantly (from 200 to 210).\n\nTherefore, the most supported conclusion is that Rabbits have experienced the most rapid population growth over the five-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Animal Population Counts in National Park",
        "headers": [
          "Year",
          "Deer",
          "Wolves",
          "Rabbits",
          "Bears",
          "Foxes"
        ],
        "rows": [
          {
            "Year": "2019",
            "Deer": "10,000",
            "Wolves": "100",
            "Rabbits": "5,000",
            "Bears": "50",
            "Foxes": "200"
          },
          {
            "Year": "2020",
            "Deer": "11,000",
            "Wolves": "110",
            "Rabbits": "7,000",
            "Bears": "55",
            "Foxes": "210"
          },
          {
            "Year": "2021",
            "Deer": "12,000",
            "Wolves": "120",
            "Rabbits": "9,000",
            "Bears": "60",
            "Foxes": "220"
          },
          {
            "Year": "2022",
            "Deer": "13,000",
            "Wolves": "130",
            "Rabbits": "12,000",
            "Bears": "65",
            "Foxes": "215"
          },
          {
            "Year": "2023",
            "Deer": "14,000",
            "Wolves": "140",
            "Rabbits": "15,000",
            "Bears": "70",
            "Foxes": "210"
          }
        ]
      }
    }
  },
  {
    "id": 1248,
    "type": "chartsquestion",
    "question": "An international airline association has compiled data on the number of flights delayed beyond one hour across five major airlines over the past four years. The airlines are Airline W, Airline X, Airline Y, Airline Z, and Airline V.\n\nCustomer satisfaction experts are looking to understand which airlines have improved their on-time performance and how delays might impact customer loyalty, operational costs, and scheduling.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the delayed flights among these airlines?",
    "options": [
      "Airline W has reduced the number of delayed flights each year.",
      "Airline Y has the highest number of delayed flights every year.",
      "Airline X shows a significant increase in delayed flights over the four-year period.",
      "Airline V has maintained consistent on-time performance with minimal delays."
    ],
    "answer": "Airline W has reduced the number of delayed flights each year.",
    "explanation": "The correct answer is 'Airline W has reduced the number of delayed flights each year.'\n\nLet's analyze each option:\n\n1. Airline W has reduced the number of delayed flights each year. This is correct. The data shows that Airline W's delayed flights decreased from 400 in 2020 to 350 in 2023, indicating consistent improvement.\n\n2. Airline Y has the highest number of delayed flights every year. This is incorrect. Airline Z had the highest number of delayed flights each year, not Airline Y.\n\n3. Airline X shows a significant increase in delayed flights over the four-year period. This is incorrect. Airline X's delayed flights decreased from 600 in 2020 to 450 in 2023, showing improvement rather than an increase.\n\n4. Airline V has maintained consistent on-time performance with minimal delays. This is incorrect. Airline V's delayed flights increased from 300 in 2020 to 360 in 2023, indicating a rise in delays.\n\nTherefore, the most supported conclusion is that Airline W has reduced the number of delayed flights each year.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Number of Flights Delayed Beyond One Hour",
        "headers": [
          "Year",
          "Airline W",
          "Airline X",
          "Airline Y",
          "Airline Z",
          "Airline V"
        ],
        "rows": [
          {
            "Year": "2020",
            "Airline W": "400",
            "Airline X": "600",
            "Airline Y": "500",
            "Airline Z": "700",
            "Airline V": "300"
          },
          {
            "Year": "2021",
            "Airline W": "380",
            "Airline X": "550",
            "Airline Y": "400",
            "Airline Z": "650",
            "Airline V": "320"
          },
          {
            "Year": "2022",
            "Airline W": "360",
            "Airline X": "500",
            "Airline Y": "300",
            "Airline Z": "600",
            "Airline V": "340"
          },
          {
            "Year": "2023",
            "Airline W": "350",
            "Airline X": "450",
            "Airline Y": "200",
            "Airline Z": "550",
            "Airline V": "360"
          }
        ]
      }
    }
  },
  {
    "id": 1249,
    "type": "chartsquestion",
    "question": "An educational research group is analyzing standardized test scores in mathematics for students in five different school districts over the past three years. The districts are District 1, District 2, District 3, District 4, and District 5.\n\nThe goal is to identify which districts have made significant improvements, potentially due to curriculum changes, teaching methods, or resource allocations. This analysis will help inform future educational strategies.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding mathematics test score trends across these districts?",
    "options": [
      "District 3's average scores have increased each year.",
      "District 5 shows the most significant improvement in average scores over the three-year period.",
      "District 2's average scores have declined due to reductions in educational funding.",
      "District 1 and District 4 have identical average scores in the latest year."
    ],
    "answer": "District 5 shows the most significant improvement in average scores over the three-year period.",
    "explanation": "The correct answer is 'District 5 shows the most significant improvement in average scores over the three-year period.'\n\nLet's analyze each option:\n\n1. 'District 3's average scores have increased each year.' This is incorrect. District 3's scores increased from 80 in 2020 to 82 in 2021 but then decreased to 81 in 2022.\n\n2. 'District 5 shows the most significant improvement in average scores over the three-year period.' This is correct. District 5's scores increased from 65 in 2020 to 80 in 2022, a 15-point increase—the most significant improvement among all districts.\n\n3. 'District 2's average scores have declined due to reductions in educational funding.' This is incorrect. District 2's scores have increased from 75 to 78 over the three years.\n\n4. 'District 1 and District 4 have identical average scores in the latest year.' This is incorrect. In 2022, District 1's score is 74, while District 4's score is 70.\n\nTherefore, the data supports the conclusion that District 5 has shown the most significant improvement in average mathematics test scores over the three-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Mathematics Test Scores by District",
        "headers": [
          "Year",
          "District 1",
          "District 2",
          "District 3",
          "District 4",
          "District 5"
        ],
        "rows": [
          {
            "Year": "2020",
            "District 1": "70",
            "District 2": "75",
            "District 3": "80",
            "District 4": "65",
            "District 5": "65"
          },
          {
            "Year": "2021",
            "District 1": "72",
            "District 2": "77",
            "District 3": "82",
            "District 4": "68",
            "District 5": "72"
          },
          {
            "Year": "2022",
            "District 1": "74",
            "District 2": "78",
            "District 3": "81",
            "District 4": "70",
            "District 5": "80"
          }
        ]
      }
    }
  },
  {
    "id": 1250,
    "type": "chartsquestion",
    "question": "An environmental agency is assessing the average Air Quality Index (AQI) readings in various cities over the past five years to monitor pollution levels. The cities are City Alpha, City Beta, City Gamma, City Delta, and City Epsilon.\n\nThe agency aims to identify cities that have made significant progress in improving air quality, focusing on the city with the largest absolute decrease in AQI over the period.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding air quality trends in these cities?",
    "options": [
      "City Gamma has consistently had the highest AQI, indicating the worst air quality each year.",
      "City Beta has achieved the largest absolute improvement in air quality over the five-year period, measured by the decrease in AQI.",
      "City Alpha's AQI has remained unchanged, suggesting no effective measures have been taken.",
      "City Delta and City Epsilon have identical AQI readings in the final year."
    ],
    "answer": "City Beta has achieved the largest absolute improvement in air quality over the five-year period, measured by the decrease in AQI.",
    "explanation": "The correct answer is 'City Beta has achieved the largest absolute improvement in air quality over the five-year period, measured by the decrease in AQI.'\n\nCalculating the absolute decrease in AQI for each city:\n\n- City Beta:\n  - AQI decreased from 150 to 90.\n  - Absolute decrease = 150 - 90 = 60 points.\n\n- City Alpha:\n  - AQI decreased from 100 to 90.\n  - Absolute decrease = 10 points.\n\n- City Gamma:\n  - AQI decreased from 130 to 120.\n  - Absolute decrease = 10 points.\n\nCity Beta has the largest absolute decrease in AQI, indicating the most significant improvement in air quality.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Air Quality Index by City",
        "headers": [
          "Year",
          "City Alpha",
          "City Beta",
          "City Gamma",
          "City Delta",
          "City Epsilon"
        ],
        "rows": [
          {
            "Year": "2019",
            "City Alpha": "100",
            "City Beta": "150",
            "City Gamma": "130",
            "City Delta": "90",
            "City Epsilon": "80"
          },
          {
            "Year": "2020",
            "City Alpha": "98",
            "City Beta": "140",
            "City Gamma": "135",
            "City Delta": "85",
            "City Epsilon": "78"
          },
          {
            "Year": "2021",
            "City Alpha": "95",
            "City Beta": "125",
            "City Gamma": "140",
            "City Delta": "80",
            "City Epsilon": "76"
          },
          {
            "Year": "2022",
            "City Alpha": "93",
            "City Beta": "105",
            "City Gamma": "130",
            "City Delta": "75",
            "City Epsilon": "74"
          },
          {
            "Year": "2023",
            "City Alpha": "90",
            "City Beta": "90",
            "City Gamma": "120",
            "City Delta": "70",
            "City Epsilon": "72"
          }
        ]
      }
    }
  },
  {
    "id": 1251,
    "type": "chartsquestion",
    "question": "A transportation authority is analyzing the average number of passengers using public transit systems in five metropolitan areas over the past six years. The areas are Metro Area A, Metro Area B, Metro Area C, Metro Area D, and Metro Area E.\n\nThey aim to understand trends in public transit usage to plan infrastructure investments and improve services.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding public transit usage trends?",
    "options": [
      "Metro Area C has the lowest number of passengers every year.",
      "Public transit usage in Metro Area B has declined significantly over the six-year period.",
      "Metro Area E shows consistent growth in passenger numbers each year.",
      "Metro Areas A and D have identical passenger numbers in the final year."
    ],
    "answer": "Metro Area E shows consistent growth in passenger numbers each year.",
    "explanation": "The correct answer is 'Metro Area E shows consistent growth in passenger numbers each year.'\n\nLet's analyze each option:\n\n1. Metro Area C has the lowest number of passengers every year. This is incorrect. Metro Area C has the highest number of passengers every year, starting from 200,000 in 2018 to 220,000 in 2023.\n\n2. Public transit usage in Metro Area B has declined significantly over the six-year period. This is incorrect. Metro Area B's passenger numbers fluctuated slightly but remained relatively stable, starting at 150,000 in 2018 and ending at 150,000 in 2023.\n\n3. Metro Area E shows consistent growth in passenger numbers each year. This is correct. Metro Area E's passenger numbers increased steadily from 100,000 in 2018 to 160,000 in 2023, showing consistent year-over-year growth.\n\n4. Metro Areas A and D have identical passenger numbers in the final year. This is incorrect. In 2023, Metro Area A has 200,000 passengers, while Metro Area D has 190,000 passengers.\n\nTherefore, the most supported conclusion is that Metro Area E shows consistent growth in passenger numbers each year.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Number of Public Transit Passengers by Metro Area",
        "headers": [
          "Year",
          "Metro Area A",
          "Metro Area B",
          "Metro Area C",
          "Metro Area D",
          "Metro Area E"
        ],
        "rows": [
          {
            "Year": "2018",
            "Metro Area A": "180,000",
            "Metro Area B": "150,000",
            "Metro Area C": "200,000",
            "Metro Area D": "170,000",
            "Metro Area E": "100,000"
          },
          {
            "Year": "2019",
            "Metro Area A": "185,000",
            "Metro Area B": "155,000",
            "Metro Area C": "205,000",
            "Metro Area D": "175,000",
            "Metro Area E": "110,000"
          },
          {
            "Year": "2020",
            "Metro Area A": "190,000",
            "Metro Area B": "140,000",
            "Metro Area C": "210,000",
            "Metro Area D": "180,000",
            "Metro Area E": "120,000"
          },
          {
            "Year": "2021",
            "Metro Area A": "195,000",
            "Metro Area B": "145,000",
            "Metro Area C": "215,000",
            "Metro Area D": "185,000",
            "Metro Area E": "130,000"
          },
          {
            "Year": "2022",
            "Metro Area A": "200,000",
            "Metro Area B": "150,000",
            "Metro Area C": "220,000",
            "Metro Area D": "190,000",
            "Metro Area E": "145,000"
          },
          {
            "Year": "2023",
            "Metro Area A": "200,000",
            "Metro Area B": "150,000",
            "Metro Area C": "220,000",
            "Metro Area D": "190,000",
            "Metro Area E": "160,000"
          }
        ]
      }
    }
  },
  {
    "id": 1252,
    "type": "chartsquestion",
    "question": "Economists have been analyzing the unemployment rates across different sectors in Country X over the past four years. The sectors include Manufacturing, Services, Agriculture, Construction, and Technology.\n\nPolicy makers are interested in identifying which sectors have seen significant changes in unemployment rates to implement targeted employment policies and training programs.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding unemployment rate trends across these sectors?",
    "options": [
      "The Manufacturing sector has had the highest unemployment rate every year.",
      "The Technology sector shows a significant decrease in unemployment rates over the four-year period.",
      "Unemployment rates in the Agriculture sector have increased each year.",
      "The Services sector and Construction sector have identical unemployment rates in the latest year."
    ],
    "answer": "The Technology sector shows a significant decrease in unemployment rates over the four-year period.",
    "explanation": "The correct answer is 'The Technology sector shows a significant decrease in unemployment rates over the four-year period.'\n\nLet's analyze each option:\n\n1. The Manufacturing sector has had the highest unemployment rate every year. This is incorrect. The Agriculture sector had the highest unemployment rates each year, starting at 15% in 2020 and decreasing to 12% in 2023.\n\n2. The Technology sector shows a significant decrease in unemployment rates over the four-year period. This is correct. The Technology sector's unemployment rate declined from 8% in 2020 to 3% in 2023, showing significant improvement.\n\n3. Unemployment rates in the Agriculture sector have increased each year. This is incorrect. The unemployment rates in Agriculture decreased from 15% to 12% over the four years.\n\n4. The Services sector and Construction sector have identical unemployment rates in the latest year. This is incorrect. In 2023, the Services sector has an unemployment rate of 6%, while the Construction sector has a rate of 7%.\n\nTherefore, the most supported conclusion is that the Technology sector shows a significant decrease in unemployment rates over the four-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Unemployment Rates by Sector in Country X (%)",
        "headers": [
          "Year",
          "Manufacturing",
          "Services",
          "Agriculture",
          "Construction",
          "Technology"
        ],
        "rows": [
          {
            "Year": "2020",
            "Manufacturing": "10",
            "Services": "7",
            "Agriculture": "15",
            "Construction": "9",
            "Technology": "8"
          },
          {
            "Year": "2021",
            "Manufacturing": "9",
            "Services": "7",
            "Agriculture": "14",
            "Construction": "8",
            "Technology": "6"
          },
          {
            "Year": "2022",
            "Manufacturing": "8",
            "Services": "6",
            "Agriculture": "13",
            "Construction": "7",
            "Technology": "4"
          },
          {
            "Year": "2023",
            "Manufacturing": "7",
            "Services": "6",
            "Agriculture": "12",
            "Construction": "7",
            "Technology": "3"
          }
        ]
      }
    }
  },
  {
    "id": 1253,
    "type": "chartsquestion",
    "question": "Meteorologists have been recording average annual temperatures in five cities over the past decade to study climate change patterns. The cities are City M, City N, City O, City P, and City Q.\n\nClimate scientists are interested in identifying which cities have experienced significant temperature increases, potentially indicating regional impacts of global warming.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding temperature trends in these cities?",
    "options": [
      "City N has experienced the most significant increase in average annual temperature over the decade.",
      "City P has maintained a constant average annual temperature throughout the decade.",
      "City M and City Q have identical average temperatures in the final year.",
      "City O shows a decrease in average annual temperature over the decade."
    ],
    "answer": "City N has experienced the most significant increase in average annual temperature over the decade.",
    "explanation": "The correct answer is 'City N has experienced the most significant increase in average annual temperature over the decade.'\n\nLet's analyze each option:\n\n1. City N has experienced the most significant increase in average annual temperature over the decade. This is correct. City N's temperature rose from 15°C in 2013 to 18°C in 2023, a 3°C increase—the largest among the cities.\n\n2. City P has maintained a constant average annual temperature throughout the decade. This is incorrect. City P's temperature increased slightly from 25°C to 25.3°C over the decade.\n\n3. City M and City Q have identical average temperatures in the final year. This is incorrect. In 2023, City M has a temperature of 17°C, while City Q has 16°C.\n\n4. City O shows a decrease in average annual temperature over the decade. This is incorrect. City O's temperature increased from 20°C to 21°C over the decade.\n\nTherefore, the most supported conclusion is that City N has experienced the most significant increase in average annual temperature over the decade.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Annual Temperatures by City (°C)",
        "headers": [
          "Year",
          "City M",
          "City N",
          "City O",
          "City P",
          "City Q"
        ],
        "rows": [
          {
            "Year": "2013",
            "City M": "15",
            "City N": "15",
            "City O": "20",
            "City P": "25",
            "City Q": "14"
          },
          {
            "Year": "2015",
            "City M": "15.5",
            "City N": "16",
            "City O": "20.2",
            "City P": "25",
            "City Q": "14.5"
          },
          {
            "Year": "2017",
            "City M": "16",
            "City N": "16.5",
            "City O": "20.5",
            "City P": "25.1",
            "City Q": "15"
          },
          {
            "Year": "2019",
            "City M": "16.5",
            "City N": "17",
            "City O": "20.7",
            "City P": "25.2",
            "City Q": "15.5"
          },
          {
            "Year": "2021",
            "City M": "17",
            "City N": "17.5",
            "City O": "21",
            "City P": "25.3",
            "City Q": "16"
          },
          {
            "Year": "2023",
            "City M": "17",
            "City N": "18",
            "City O": "21",
            "City P": "25.3",
            "City Q": "16"
          }
        ]
      }
    }
  },
  {
    "id": 1254,
    "type": "chartsquestion",
    "question": "A financial institution is analyzing the interest rates offered for five different types of savings accounts over the past five years. The account types are Basic Savings, Premium Savings, Money Market, Certificate of Deposit (CD), and Retirement Account.\n\nClients are interested in understanding which account types offer the best returns over time to make informed investment decisions.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the interest rate trends of these savings accounts?",
    "options": [
      "The Money Market account has consistently offered the highest interest rate every year.",
      "The interest rate for Certificate of Deposit (CD) has increased significantly over the five-year period.",
      "The Basic Savings account has offered a higher interest rate than the Premium Savings account in the latest year.",
      "Retirement Accounts have maintained stable interest rates without significant fluctuations."
    ],
    "answer": "Retirement Accounts have maintained stable interest rates without significant fluctuations.",
    "explanation": "The correct answer is 'Retirement Accounts have maintained stable interest rates without significant fluctuations.'\n\nLet's analyze each option:\n\n1. 'The Money Market account has consistently offered the highest interest rate every year.' This is incorrect. Certificate of Deposit (CD) accounts have offered higher rates than Money Market accounts in several years.\n\n2. 'The interest rate for Certificate of Deposit (CD) has increased significantly over the five-year period.' This is incorrect. The interest rate for CDs has actually decreased from 5% in 2019 to 3% in 2023.\n\n3. 'The Basic Savings account has offered a higher interest rate than the Premium Savings account in the latest year.' This is incorrect. In 2023, the Basic Savings account offers an interest rate of 1%, while the Premium Savings account offers 2%.\n\n4. 'Retirement Accounts have maintained stable interest rates without significant fluctuations.' This is correct. Retirement Accounts have consistently offered a 4% interest rate from 2019 to 2023, showing stability amidst fluctuations in other account types.\n\nTherefore, the data supports the conclusion that Retirement Accounts have maintained stable interest rates without significant fluctuations.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Interest Rates by Savings Account Type (%)",
        "headers": [
          "Year",
          "Basic Savings",
          "Premium Savings",
          "Money Market",
          "Certificate of Deposit (CD)",
          "Retirement Account"
        ],
        "rows": [
          {
            "Year": "2019",
            "Basic Savings": "1",
            "Premium Savings": "2",
            "Money Market": "3",
            "Certificate of Deposit (CD)": "5",
            "Retirement Account": "4"
          },
          {
            "Year": "2020",
            "Basic Savings": "1",
            "Premium Savings": "2",
            "Money Market": "2.5",
            "Certificate of Deposit (CD)": "4.5",
            "Retirement Account": "4"
          },
          {
            "Year": "2021",
            "Basic Savings": "1",
            "Premium Savings": "2",
            "Money Market": "2",
            "Certificate of Deposit (CD)": "4",
            "Retirement Account": "4"
          },
          {
            "Year": "2022",
            "Basic Savings": "1",
            "Premium Savings": "2",
            "Money Market": "2",
            "Certificate of Deposit (CD)": "3.5",
            "Retirement Account": "4"
          },
          {
            "Year": "2023",
            "Basic Savings": "1",
            "Premium Savings": "2",
            "Money Market": "2.5",
            "Certificate of Deposit (CD)": "3",
            "Retirement Account": "4"
          }
        ]
      }
    }
  },
  {
    "id": 1255,
    "type": "chartsquestion",
    "question": "An international study has measured the average daily screen time (in hours) among teenagers in five countries over the last three years. The countries are Country U, Country V, Country W, Country X, and Country Y.\n\nHealth professionals are concerned about the implications of increased screen time on physical and mental health and are interested in identifying trends and potential areas for intervention.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding average daily screen time among teenagers in these countries?",
    "options": [
      "Country X has the highest average daily screen time in the latest year.",
      "Country U shows a significant decrease in average daily screen time over the three-year period.",
      "Country Y has consistently had the lowest average daily screen time.",
      "Average daily screen time has increased in all countries over the three-year period."
    ],
    "answer": "Country Y has consistently had the lowest average daily screen time.",
    "explanation": "The correct answer is 'Country Y has consistently had the lowest average daily screen time.'\n\nLet's analyze each option:\n\n1. Country X has the highest average daily screen time in the latest year. This is incorrect. In 2022, Country V has the highest average daily screen time at 6.5 hours, while Country X has 6 hours.\n\n2. Country U shows a significant decrease in average daily screen time over the three-year period. This is incorrect. Country U's screen time increased from 5 hours to 6 hours.\n\n3. Country Y has consistently had the lowest average daily screen time. This is correct. Country Y's screen time increased slightly from 4 to 4.5 hours but remained the lowest among the countries each year.\n\n4. Average daily screen time has increased in all countries over the three-year period. This is incorrect. Country W's screen time decreased from 6 hours to 5.5 hours.\n\nTherefore, the most supported conclusion is that Country Y has consistently had the lowest average daily screen time.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Daily Screen Time Among Teenagers (Hours)",
        "headers": [
          "Year",
          "Country U",
          "Country V",
          "Country W",
          "Country X",
          "Country Y"
        ],
        "rows": [
          {
            "Year": "2020",
            "Country U": "5",
            "Country V": "6",
            "Country W": "6",
            "Country X": "6.5",
            "Country Y": "4"
          },
          {
            "Year": "2021",
            "Country U": "5.5",
            "Country V": "6.2",
            "Country W": "5.8",
            "Country X": "6.3",
            "Country Y": "4.2"
          },
          {
            "Year": "2022",
            "Country U": "6",
            "Country V": "6.5",
            "Country W": "5.5",
            "Country X": "6",
            "Country Y": "4.5"
          }
        ]
      }
    }
  },
  {
    "id": 1256,
    "type": "chartsquestion",
    "question": "A logistics company is tracking the average delivery times (in days) for international shipments to five regions over the past four years. The regions are Region A, Region B, Region C, Region D, and Region E.\n\nThey aim to identify areas where delivery efficiency can be improved and understand the impact of logistical changes and external factors on delivery times.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding delivery time trends to these regions?",
    "options": [
      "Region D has consistently had the shortest average delivery time every year.",
      "Average delivery times to Region B have decreased significantly over the four-year period.",
      "Delivery times to Region E have increased due to new customs regulations.",
      "Regions A and C have identical average delivery times in the latest year."
    ],
    "answer": "Average delivery times to Region B have decreased significantly over the four-year period.",
    "explanation": "The correct answer is 'Average delivery times to Region B have decreased significantly over the four-year period.'\n\nLet's analyze each option:\n\n1. Region D has consistently had the shortest average delivery time every year. This is incorrect. Region A had shorter delivery times in the final two years (5 days) compared to Region D (8 days).\n\n2. Average delivery times to Region B have decreased significantly over the four-year period. This is correct. Delivery times to Region B decreased from 10 days in 2020 to 6 days in 2023.\n\n3. Delivery times to Region E have increased due to new customs regulations. This is incorrect. Delivery times to Region E decreased from 12 days to 9 days.\n\n4. Regions A and C have identical average delivery times in the latest year. This is incorrect. In 2023, Region A has an average delivery time of 5 days, while Region C has 7 days.\n\nTherefore, the most supported conclusion is that average delivery times to Region B have decreased significantly over the four-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Delivery Times by Region (Days)",
        "headers": [
          "Year",
          "Region A",
          "Region B",
          "Region C",
          "Region D",
          "Region E"
        ],
        "rows": [
          {
            "Year": "2020",
            "Region A": "6",
            "Region B": "10",
            "Region C": "8",
            "Region D": "9",
            "Region E": "12"
          },
          {
            "Year": "2021",
            "Region A": "6",
            "Region B": "8",
            "Region C": "8",
            "Region D": "9",
            "Region E": "11"
          },
          {
            "Year": "2022",
            "Region A": "5",
            "Region B": "7",
            "Region C": "7",
            "Region D": "8",
            "Region E": "10"
          },
          {
            "Year": "2023",
            "Region A": "5",
            "Region B": "6",
            "Region C": "7",
            "Region D": "8",
            "Region E": "9"
          }
        ]
      }
    }
  },
  {
    "id": 1257,
    "type": "chartsquestion",
    "question": "Educational authorities have compiled data on the percentage of students achieving proficiency in science subjects across five schools over the past three years. The schools are School 1, School 2, School 3, School 4, and School 5.\n\nThey aim to assess the effectiveness of teaching methods and curricula and to identify schools that may need additional support or resources.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding student proficiency in science?",
    "options": [
      "School 3's student proficiency has increased each year.",
      "School 5 shows a significant improvement in student proficiency over the three-year period.",
      "Student proficiency in School 2 has declined due to outdated curricula.",
      "Schools 1 and 4 have identical proficiency percentages in the final year."
    ],
    "answer": "School 5 shows a significant improvement in student proficiency over the three-year period.",
    "explanation": "The correct answer is **'School 5 shows a significant improvement in student proficiency over the three-year period.'**\n\nLet's analyze each option:\n\n1. **School 3's student proficiency has increased each year.** This is incorrect. School 3's proficiency percentages have actually decreased slightly over the three years:\n   - 2020: 85%\n   - 2021: 84%\n   - 2022: 83%\n\n2. **School 5 shows a significant improvement in student proficiency over the three-year period.** This is correct. School 5's proficiency increased notably:\n   - 2020: 60%\n   - 2021: 70%\n   - 2022: 80%\n   \n   This represents a 20-percentage-point increase over three years, which is significant.\n\n3. **Student proficiency in School 2 has declined due to outdated curricula.** This is incorrect. School 2's proficiency has increased from 75% in 2020 to 78% in 2022.\n\n4. **Schools 1 and 4 have identical proficiency percentages in the final year.** This is incorrect. In 2022:\n   - School 1: 82%\n   - School 4: 80%\n   \n   Their proficiency percentages are close but not identical.\n\nTherefore, the most supported conclusion is that **School 5 shows a significant improvement in student proficiency over the three-year period.**",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Student Proficiency in Science by School (%)",
        "headers": [
          "Year",
          "School 1",
          "School 2",
          "School 3",
          "School 4",
          "School 5"
        ],
        "rows": [
          {
            "Year": "2020",
            "School 1": "80",
            "School 2": "75",
            "School 3": "85",
            "School 4": "78",
            "School 5": "60"
          },
          {
            "Year": "2021",
            "School 1": "81",
            "School 2": "76",
            "School 3": "84",
            "School 4": "79",
            "School 5": "70"
          },
          {
            "Year": "2022",
            "School 1": "82",
            "School 2": "78",
            "School 3": "83",
            "School 4": "80",
            "School 5": "80"
          }
        ]
      }
    }
  },
  {
    "id": 1258,
    "type": "chartsquestion",
    "question": "A retail chain is analyzing the average customer satisfaction ratings (on a scale of 1 to 10) for its stores in five regions over the past five years. The regions are North, South, East, West, and Central.\n\nManagement aims to identify regions where customer satisfaction is low and implement strategies to improve the shopping experience.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding customer satisfaction trends?",
    "options": [
      "The West region has experienced a significant decline in customer satisfaction over the five-year period.",
      "Customer satisfaction in the South region has decreased significantly over the five-year period.",
      "The Central region shows consistent improvement in customer satisfaction each year.",
      "The North and East regions have identical customer satisfaction ratings in the latest year."
    ],
    "answer": "The Central region shows consistent improvement in customer satisfaction each year.",
    "explanation": "The correct answer is **'The Central region shows consistent improvement in customer satisfaction each year.'**\n\nLet's analyze each option:\n\n1. **The West region has experienced a significant decline in customer satisfaction over the five-year period.** This is incorrect. The West region's customer satisfaction ratings have actually increased from 8.0 in 2019 to 8.5 in 2023.\n\n2. **Customer satisfaction in the South region has decreased significantly over the five-year period.** This is incorrect. Customer satisfaction in the South region increased from 6.5 in 2019 to 7.8 in 2023.\n\n3. **The Central region shows consistent improvement in customer satisfaction each year.** This is correct. The Central region's ratings increased steadily from 6.0 in 2019 to 8.0 in 2023.\n\n4. **The North and East regions have identical customer satisfaction ratings in the latest year.** This is incorrect. In 2023, the North region has a rating of 7.5, and the East region has a rating of 7.0.\n\nTherefore, the most supported conclusion is that **the Central region shows consistent improvement in customer satisfaction each year.**",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Customer Satisfaction Ratings by Region",
        "headers": [
          "Year",
          "North",
          "South",
          "East",
          "West",
          "Central"
        ],
        "rows": [
          {
            "Year": "2019",
            "North": "7.5",
            "South": "6.5",
            "East": "6.5",
            "West": "8.0",
            "Central": "6.0"
          },
          {
            "Year": "2020",
            "North": "7.5",
            "South": "7.0",
            "East": "6.7",
            "West": "8.2",
            "Central": "6.5"
          },
          {
            "Year": "2021",
            "North": "7.5",
            "South": "7.2",
            "East": "6.8",
            "West": "8.3",
            "Central": "7.0"
          },
          {
            "Year": "2022",
            "North": "7.5",
            "South": "7.5",
            "East": "6.9",
            "West": "8.4",
            "Central": "7.5"
          },
          {
            "Year": "2023",
            "North": "7.5",
            "South": "7.8",
            "East": "7.0",
            "West": "8.5",
            "Central": "8.0"
          }
        ]
      }
    }
  },
  {
    "id": 1259,
    "type": "chartsquestion",
    "question": "An agricultural agency is studying crop yield (in tons per hectare) for five different crops over the past five years. The crops are Wheat, Corn, Rice, Soybeans, and Barley.\n\nThe agency is interested in identifying trends in crop productivity, focusing on the crop that has achieved the highest percentage increase in yield over the period.\n\nBased on the data provided in the chart, which of the following conclusions is best supported regarding the percentage increase in crop yields?",
    "options": [
      "Rice has the highest yield every year.",
      "Soybeans show the highest percentage increase in yield over the five-year period.",
      "Wheat yields have decreased due to adverse weather conditions.",
      "Barley and Corn have identical yields in the final year."
    ],
    "answer": "Soybeans show the highest percentage increase in yield over the five-year period.",
    "explanation": "The correct answer is 'Soybeans show the highest percentage increase in yield over the five-year period.'\n\nCalculating the percentage increase for each crop:\n\nSoybeans:\n- From 2.0 to 3.5 tons/ha.\n- Percentage increase = ((3.5 - 2.0) / 2.0) * 100% = 75%.\n\nBarley:\n- From 2.5 to 3.0 tons/ha.\n- Percentage increase = ((3.0 - 2.5) / 2.5) * 100% = 20%.\n\nCorn:\n- From 3.5 to 4.0 tons/ha.\n- Percentage increase = ((4.0 - 3.5) / 3.5) * 100% ≈ 14.3%.\n\nSoybeans have the highest percentage increase in yield, supporting the conclusion.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Crop Yield by Crop (Tons per Hectare)",
        "headers": [
          "Year",
          "Wheat",
          "Corn",
          "Rice",
          "Soybeans",
          "Barley"
        ],
        "rows": [
          {
            "Year": "2019",
            "Wheat": "4.0",
            "Corn": "3.5",
            "Rice": "3.8",
            "Soybeans": "2.0",
            "Barley": "2.5"
          },
          {
            "Year": "2020",
            "Wheat": "4.1",
            "Corn": "3.6",
            "Rice": "3.9",
            "Soybeans": "2.5",
            "Barley": "2.7"
          },
          {
            "Year": "2021",
            "Wheat": "4.2",
            "Corn": "3.7",
            "Rice": "4.0",
            "Soybeans": "3.0",
            "Barley": "2.8"
          },
          {
            "Year": "2022",
            "Wheat": "4.3",
            "Corn": "3.8",
            "Rice": "4.1",
            "Soybeans": "3.3",
            "Barley": "2.9"
          },
          {
            "Year": "2023",
            "Wheat": "4.5",
            "Corn": "4.0",
            "Rice": "4.2",
            "Soybeans": "3.5",
            "Barley": "3.0"
          }
        ]
      }
    }
  },
  {
    "id": 1260,
    "type": "chartsquestion",
    "question": "An agricultural report analyzes the average pesticide usage (in kg per hectare) on crops across five regions over four years.\n\nBased on the data provided, which region has achieved the most significant reduction in pesticide usage over the four-year period?",
    "options": [
      "Region V",
      "Region X",
      "Region W",
      "Region Z"
    ],
    "answer": "Region W",
    "explanation": "The correct answer is **'Region W.'**\n\nLet's analyze the data:\n\n- **Region W** reduced pesticide usage from 8 kg/ha in 2019 to 5 kg/ha in 2022, a reduction of 3 kg/ha or 37.5%—the largest absolute and percentage reduction among the regions.\n\n- **Region V** reduced from 9 kg/ha to 6 kg/ha, a 3 kg/ha reduction but a smaller percentage decrease (33.3%).\n\n- **Region X** reduced from 5 kg/ha to 3.5 kg/ha, a reduction of 1.5 kg/ha (30% decrease).\n\n- **Region Z** reduced from 7 kg/ha to 5.5 kg/ha, a reduction of 1.5 kg/ha (21.4% decrease).\n\nTherefore, **Region W** has achieved the most significant reduction in pesticide usage over the four-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Pesticide Usage by Region (kg per hectare)",
        "headers": [
          "Year",
          "Region X",
          "Region Y",
          "Region Z",
          "Region W",
          "Region V"
        ],
        "rows": [
          {
            "Year": "2019",
            "Region X": "5",
            "Region Y": "6",
            "Region Z": "7",
            "Region W": "8",
            "Region V": "9"
          },
          {
            "Year": "2020",
            "Region X": "4.5",
            "Region Y": "5.5",
            "Region Z": "6.5",
            "Region W": "7",
            "Region V": "8"
          },
          {
            "Year": "2021",
            "Region X": "4",
            "Region Y": "5",
            "Region Z": "6",
            "Region W": "6",
            "Region V": "7"
          },
          {
            "Year": "2022",
            "Region X": "3.5",
            "Region Y": "4.5",
            "Region Z": "5.5",
            "Region W": "5",
            "Region V": "6"
          }
        ]
      }
    }
  },
  {
    "id": 1262,
    "type": "chartsquestion",
    "question": "Environmental economists have been studying the carbon pricing mechanisms implemented by different countries to reduce greenhouse gas emissions. The data below shows the carbon price per ton of CO₂ in five countries over the past six years.\n\nBased on the data provided, which country has implemented the most aggressive increase in carbon pricing over the six-year period?",
    "options": [
      "Country A",
      "Country D",
      "Country C",
      "Country E"
    ],
    "answer": "Country C",
    "explanation": "The correct answer is **'Country C.'**\n\nLet's analyze the data:\n\n- **Country C** increased its carbon price from $25 in 2018 to $45 in 2023, a $20 increase and an 80% rise—the most significant among the countries listed.\n\n- **Country A** increased from $20 to $35, a $15 increase (75% rise).\n\n- **Country D** increased from $10 to $20, a $10 increase (100% rise), but the absolute increase is less than Country C's.\n\n- **Country E** increased from $5 to $18, a $13 increase (260% rise), but starting from a very low base, the absolute increase is less than Country C's $20 increase.\n\nGiven that the question emphasizes the **most aggressive increase**, considering both absolute and percentage increases, **Country C** has the most significant absolute increase of $20.\n\nTherefore, **Country C** has implemented the most aggressive increase in carbon pricing over the six-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Carbon Price per Ton of CO₂ (USD)",
        "headers": [
          "Year",
          "Country A",
          "Country B",
          "Country C",
          "Country D",
          "Country E"
        ],
        "rows": [
          {
            "Year": "2018",
            "Country A": "20",
            "Country B": "15",
            "Country C": "25",
            "Country D": "10",
            "Country E": "5"
          },
          {
            "Year": "2019",
            "Country A": "22",
            "Country B": "17",
            "Country C": "27",
            "Country D": "12",
            "Country E": "7"
          },
          {
            "Year": "2020",
            "Country A": "25",
            "Country B": "20",
            "Country C": "30",
            "Country D": "14",
            "Country E": "9"
          },
          {
            "Year": "2021",
            "Country A": "28",
            "Country B": "23",
            "Country C": "35",
            "Country D": "16",
            "Country E": "12"
          },
          {
            "Year": "2022",
            "Country A": "32",
            "Country B": "27",
            "Country C": "40",
            "Country D": "18",
            "Country E": "15"
          },
          {
            "Year": "2023",
            "Country A": "35",
            "Country B": "30",
            "Country C": "45",
            "Country D": "20",
            "Country E": "18"
          }
        ]
      }
    }
  },
  {
    "id": 1264,
    "type": "chartsquestion",
    "question": "A health agency is monitoring the vaccination rates for four different vaccines in five communities over the past five years. The data shows vaccination rates (%) for Vaccine W in Community 1, Vaccine X in Community 2 and 5, Vaccine Y in Community 3, and Vaccine Z in Community 4.\n\nBased on the data provided, which vaccine shows the most consistent year-over-year increase in vaccination rates in its respective community?",
    "options": [
      "Vaccine W in Community 1",
      "Vaccine Y in Community 3",
      "Vaccine Z in Community 4",
      "Vaccine X in Community 2"
    ],
    "answer": "Vaccine W in Community 1",
    "explanation": "The correct answer is **'Vaccine W in Community 1.'**\n\nLet's analyze the data:\n\n- **Vaccine W (Community 1)** increased from 85% in 2019 to 92% in 2023, with consistent year-over-year increases of 1-2 percentage points.\n\n- **Vaccine Y (Community 3)** increased from 60% to 70%, but the increases are not as consistent (some years show larger jumps).\n\n- **Vaccine Z (Community 4)** increased from 75% to 82%, but the increases are not uniform each year.\n\n- **Vaccine X (Community 2)** increased from 70% to 78%, but again, the increases vary each year.\n\nTherefore, **Vaccine W in Community 1** shows the most consistent year-over-year increase in vaccination rates.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Vaccination Rates by Vaccine and Community (%)",
        "headers": [
          "Year",
          "Vaccine W (Community 1)",
          "Vaccine X (Community 2)",
          "Vaccine Y (Community 3)",
          "Vaccine Z (Community 4)",
          "Vaccine X (Community 5)"
        ],
        "rows": [
          {
            "Year": "2019",
            "Vaccine W (Community 1)": "85",
            "Vaccine X (Community 2)": "70",
            "Vaccine Y (Community 3)": "60",
            "Vaccine Z (Community 4)": "75",
            "Vaccine X (Community 5)": "65"
          },
          {
            "Year": "2020",
            "Vaccine W (Community 1)": "87",
            "Vaccine X (Community 2)": "72",
            "Vaccine Y (Community 3)": "62",
            "Vaccine Z (Community 4)": "77",
            "Vaccine X (Community 5)": "68"
          },
          {
            "Year": "2021",
            "Vaccine W (Community 1)": "88",
            "Vaccine X (Community 2)": "74",
            "Vaccine Y (Community 3)": "64",
            "Vaccine Z (Community 4)": "78",
            "Vaccine X (Community 5)": "70"
          },
          {
            "Year": "2022",
            "Vaccine W (Community 1)": "90",
            "Vaccine X (Community 2)": "76",
            "Vaccine Y (Community 3)": "67",
            "Vaccine Z (Community 4)": "80",
            "Vaccine X (Community 5)": "73"
          },
          {
            "Year": "2023",
            "Vaccine W (Community 1)": "92",
            "Vaccine X (Community 2)": "78",
            "Vaccine Y (Community 3)": "70",
            "Vaccine Z (Community 4)": "82",
            "Vaccine X (Community 5)": "75"
          }
        ]
      }
    }
  },
  {
    "id": 1266,
    "type": "chartsquestion",
    "question": "Sociologists are studying employment sectors among recent graduates. The data shows the percentage of graduates employed in Technology, Healthcare, Education, Finance, and Creative Arts sectors over the past four years.\n\nBased on the data provided, which sector is attracting an increasing proportion of recent graduates each year?",
    "options": [
      "Education",
      "Healthcare",
      "Technology",
      "Creative Arts"
    ],
    "answer": "Technology",
    "explanation": "The correct answer is **'Technology.'**\n\nLet's analyze the data:\n\n- **Technology** increased from 30% in 2020 to 38% in 2023, showing consistent growth each year.\n\n- **Healthcare** increased from 20% to 26%, but the growth is less than that of Technology.\n\n- **Education** decreased from 15% to 12% over the four years.\n\n- **Creative Arts** decreased from 10% to 4% over the four years.\n\nTherefore, **Technology** is the sector attracting an increasing proportion of recent graduates each year.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Graduate Employment by Sector (%)",
        "headers": [
          "Year",
          "Technology",
          "Healthcare",
          "Education",
          "Finance",
          "Creative Arts"
        ],
        "rows": [
          {
            "Year": "2020",
            "Technology": "30",
            "Healthcare": "20",
            "Education": "15",
            "Finance": "25",
            "Creative Arts": "10"
          },
          {
            "Year": "2021",
            "Technology": "32",
            "Healthcare": "22",
            "Education": "14",
            "Finance": "24",
            "Creative Arts": "8"
          },
          {
            "Year": "2022",
            "Technology": "35",
            "Healthcare": "24",
            "Education": "13",
            "Finance": "22",
            "Creative Arts": "6"
          },
          {
            "Year": "2023",
            "Technology": "38",
            "Healthcare": "26",
            "Education": "12",
            "Finance": "20",
            "Creative Arts": "4"
          }
        ]
      }
    }
  },
  {
    "id": 1268,
    "type": "chartsquestion",
    "question": "A nutrition study analyzes the average daily intake of sugar (in grams) among adults in five different countries over three years.\n\nBased on the data provided, which country has shown the most significant reduction in average daily sugar intake over the three-year period?",
    "options": [
      "Country N",
      "Country P",
      "Country L",
      "Country M"
    ],
    "answer": "Country N",
    "explanation": "The correct answer is **'Country N.'**\n\nLet's analyze the data:\n\n- **Country N** reduced from 110 grams in 2020 to 100 grams in 2022, a reduction of 10 grams.\n\n- **Country L** reduced from 100 grams to 95 grams, a reduction of 5 grams.\n\n- **Country M** reduced from 90 grams to 85 grams, a reduction of 5 grams.\n\n- **Country P** reduced from 85 grams to 80 grams, a reduction of 5 grams.\n\nTherefore, **Country N** has shown the most significant reduction in average daily sugar intake over the three-year period.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Daily Sugar Intake Among Adults (grams)",
        "headers": [
          "Year",
          "Country L",
          "Country M",
          "Country N",
          "Country O",
          "Country P"
        ],
        "rows": [
          {
            "Year": "2020",
            "Country L": "100",
            "Country M": "90",
            "Country N": "110",
            "Country O": "95",
            "Country P": "85"
          },
          {
            "Year": "2021",
            "Country L": "98",
            "Country M": "88",
            "Country N": "105",
            "Country O": "93",
            "Country P": "82"
          },
          {
            "Year": "2022",
            "Country L": "95",
            "Country M": "85",
            "Country N": "100",
            "Country O": "90",
            "Country P": "80"
          }
        ]
      }
    }
  },
  {
    "id": 1270,
    "type": "chartsquestion",
    "question": "An international library consortium tracks the number of digital book loans across five regions over the past five years.\n\nBased on the data provided, which region shows the highest percentage growth rate in digital book loans over the five-year period?",
    "options": [
      "Region 1",
      "Region 2",
      "Region 3",
      "Region 5"
    ],
    "answer": "Region 5",
    "explanation": "The correct answer is 'Region 5.'\n\nCalculating the percentage growth for each region from 2019 to 2023:\n\n- Region 5:\n  - From 1 million to 5 million loans.\n  - Percentage increase = ((5 - 1) / 1) * 100% = 400%\n\n- Region 1:\n  - From 5 million to 12 million loans.\n  - Percentage increase = ((12 - 5) / 5) * 100% = 140%\n\n- Region 2:\n  - From 3 million to 7 million loans.\n  - Percentage increase = ((7 - 3) / 3) * 100% ≈ 133%\n\n- Region 3:\n  - From 4 million to 8 million loans.\n  - Percentage increase = ((8 - 4) / 4) * 100% = 100%\n\nRegion 5 has the highest percentage growth rate at 400%, supporting the conclusion.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Digital Book Loans by Region (Millions)",
        "headers": [
          "Year",
          "Region 1",
          "Region 2",
          "Region 3",
          "Region 4",
          "Region 5"
        ],
        "rows": [
          {
            "Year": "2019",
            "Region 1": "5",
            "Region 2": "3",
            "Region 3": "4",
            "Region 4": "2",
            "Region 5": "1"
          },
          {
            "Year": "2020",
            "Region 1": "6",
            "Region 2": "4",
            "Region 3": "5",
            "Region 4": "3",
            "Region 5": "2"
          },
          {
            "Year": "2021",
            "Region 1": "8",
            "Region 2": "5",
            "Region 3": "6",
            "Region 4": "4",
            "Region 5": "3"
          },
          {
            "Year": "2022",
            "Region 1": "10",
            "Region 2": "6",
            "Region 3": "7",
            "Region 4": "5",
            "Region 5": "4"
          },
          {
            "Year": "2023",
            "Region 1": "12",
            "Region 2": "7",
            "Region 3": "8",
            "Region 4": "6",
            "Region 5": "5"
          }
        ]
      }
    }
  },
  {
    "id": 1272,
    "type": "chartsquestion",
    "question": "A technology report analyzes the adoption rates of smart home devices in five different countries over four years.\n\nBased on the data provided, which country shows the greatest percentage increase in smart home device adoption from 2020 to 2023?",
    "options": [
      "Country B",
      "Country E",
      "Country D",
      "Country C"
    ],
    "answer": "Country E",
    "explanation": "The correct answer is 'Country E.'\n\nLet's analyze the data:\n\n- Country E increased adoption from 5% in 2020 to 30% in 2023.\n- This is a 500% increase:\n  \n  ( (30 - 5) / 5 ) × 100% = 500%\n\nOther countries' percentage increases:\n\n- Country B: ( (55 - 25) / 25 ) × 100% = 120%\n- Country D: ( (35 - 10) / 10 ) × 100% = 250%\n- Country C: ( (45 - 15) / 15 ) × 100% = 200%\n\nCountry E has the greatest percentage increase in smart home device adoption from 2020 to 2023.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Households with Smart Home Devices (%)",
        "headers": [
          "Year",
          "Country A",
          "Country B",
          "Country C",
          "Country D",
          "Country E"
        ],
        "rows": [
          {
            "Year": "2020",
            "Country A": "20",
            "Country B": "25",
            "Country C": "15",
            "Country D": "10",
            "Country E": "5"
          },
          {
            "Year": "2021",
            "Country A": "30",
            "Country B": "35",
            "Country C": "20",
            "Country D": "15",
            "Country E": "10"
          },
          {
            "Year": "2022",
            "Country A": "40",
            "Country B": "45",
            "Country C": "30",
            "Country D": "25",
            "Country E": "20"
          },
          {
            "Year": "2023",
            "Country A": "50",
            "Country B": "55",
            "Country C": "45",
            "Country D": "35",
            "Country E": "30"
          }
        ]
      }
    }
  },
  {
    "id": 1274,
    "type": "chartsquestion",
    "question": "An education ministry reports on the dropout rates of high school students in five districts over the past three years.\n\nBased on the data provided, which district has achieved the most significant reduction in dropout rates over the three-year period?",
    "options": [
      "District II",
      "District IV",
      "District V",
      "District III"
    ],
    "answer": "District IV",
    "explanation": "The correct answer is 'District IV.'\n\nLet's analyze the data:\n\n- District IV reduced dropout rates from 8% in 2020 to 6% in 2022.\n- This is a reduction of 2 percentage points or 25% decrease:\n  \n  ( (8 - 6) / 8 ) × 100% = 25%\n\nOther districts:\n\n- District II: From 7% to 6% (14.3% decrease)\n- District V: From 9% to 7% (22.2% decrease)\n- District III: From 6% to 5% (16.7% decrease)\n\nDistrict IV has the most significant reduction in dropout rates.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "High School Dropout Rates by District (%)",
        "headers": [
          "Year",
          "District I",
          "District II",
          "District III",
          "District IV",
          "District V"
        ],
        "rows": [
          {
            "Year": "2020",
            "District I": "5",
            "District II": "7",
            "District III": "6",
            "District IV": "8",
            "District V": "9"
          },
          {
            "Year": "2021",
            "District I": "4.5",
            "District II": "6.5",
            "District III": "5.5",
            "District IV": "7",
            "District V": "8"
          },
          {
            "Year": "2022",
            "District I": "4",
            "District II": "6",
            "District III": "5",
            "District IV": "6",
            "District V": "7"
          }
        ]
      }
    }
  },
  {
    "id": 1276,
    "type": "chartsquestion",
    "question": "A study investigates the production output of renewable energy in five countries over five years.\n\nBased on the data provided, which country has shown the most significant increase in renewable energy production output over the five-year period?",
    "options": [
      "Country 5",
      "Country 1",
      "Country 4",
      "Country 2"
    ],
    "answer": "Country 5",
    "explanation": "The correct answer is 'Country 5.'\n\nLet's analyze the data:\n\n- Country 5 increased production from 2,000 GWh in 2018 to 8,000 GWh in 2022, an increase of 6,000 GWh (300% increase).\n\nOther countries:\n\n- Country 1: From 10,000 to 18,000 GWh (8,000 GWh increase, 80% increase)\n- Country 4: From 4,000 to 10,000 GWh (6,000 GWh increase, 150% increase)\n- Country 2: From 8,000 to 14,000 GWh (6,000 GWh increase, 75% increase)\n\nWhile Country 1 has a larger absolute increase, Country 5 has the highest percentage increase. Since the question asks for the most significant increase, Country 5 is the best-supported answer.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Renewable Energy Production by Country (GWh)",
        "headers": [
          "Year",
          "Country 1",
          "Country 2",
          "Country 3",
          "Country 4",
          "Country 5"
        ],
        "rows": [
          {
            "Year": "2018",
            "Country 1": "10,000",
            "Country 2": "8,000",
            "Country 3": "6,000",
            "Country 4": "4,000",
            "Country 5": "2,000"
          },
          {
            "Year": "2019",
            "Country 1": "12,000",
            "Country 2": "9,000",
            "Country 3": "7,000",
            "Country 4": "5,000",
            "Country 5": "3,000"
          },
          {
            "Year": "2020",
            "Country 1": "14,000",
            "Country 2": "10,000",
            "Country 3": "8,000",
            "Country 4": "6,000",
            "Country 5": "4,000"
          },
          {
            "Year": "2021",
            "Country 1": "16,000",
            "Country 2": "12,000",
            "Country 3": "10,000",
            "Country 4": "8,000",
            "Country 5": "6,000"
          },
          {
            "Year": "2022",
            "Country 1": "18,000",
            "Country 2": "14,000",
            "Country 3": "12,000",
            "Country 4": "10,000",
            "Country 5": "8,000"
          }
        ]
      }
    }
  },
  {
    "id": 1278,
    "type": "chartsquestion",
    "question": "Marketing analysts are reviewing the customer conversion rates from online advertisements for five products over the past three years.\n\nBased on the data provided, which product has achieved the highest percentage increase in conversion rates over the three-year period?",
    "options": [
      "Product E",
      "Product C",
      "Product D",
      "Product A"
    ],
    "answer": "Product E",
    "explanation": "The correct answer is 'Product E.'\n\nLet's analyze the data:\n\n- Product E increased from 0.5% in 2020 to 1.5% in 2022.\n- This is a 200% increase:\n  \n  ( (1.5 - 0.5) / 0.5 ) × 100% = 200%\n\nOther products:\n\n- Product C: From 4% to 6% (50% increase)\n- Product D: From 1% to 2% (100% increase)\n- Product A: From 2% to 3% (50% increase)\n\nTherefore, Product E has the highest percentage increase in conversion rates.",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Customer Conversion Rates by Product (%)",
        "headers": [
          "Year",
          "Product A",
          "Product B",
          "Product C",
          "Product D",
          "Product E"
        ],
        "rows": [
          {
            "Year": "2020",
            "Product A": "2",
            "Product B": "3",
            "Product C": "4",
            "Product D": "1",
            "Product E": "0.5"
          },
          {
            "Year": "2021",
            "Product A": "2.5",
            "Product B": "3.5",
            "Product C": "5",
            "Product D": "1.5",
            "Product E": "1"
          },
          {
            "Year": "2022",
            "Product A": "3",
            "Product B": "4",
            "Product C": "6",
            "Product D": "2",
            "Product E": "1.5"
          }
        ]
      }
    }
  },
  {
    "id": 1280,
    "type": "chartsquestion",
    "question": "Environmental scientists are studying the decline in coral reef coverage in various regions over the past decade. The data below shows the percentage of coral reef coverage remaining in five regions from 2013 to 2023. Researchers are interested in identifying which region has experienced the most significant decline, possibly due to climate change, pollution, or other environmental factors.\n\nBased on the data provided, which region has experienced the most significant decline in coral reef coverage over the ten-year period?",
    "options": [
      "Region A",
      "Region B",
      "Region C",
      "Region D"
    ],
    "answer": "Region C",
    "explanation": "The correct answer is 'Region C.'\n\nLet's analyze the data:\n\n- Region C decreased from 80% coverage in 2013 to 50% in 2023.\n- This is a decline of 30 percentage points.\n\nOther regions:\n\n- Region A: 90% to 78% (12 percentage points)\n- Region B: 85% to 73% (12 percentage points)\n- Region D: 75% to 63% (12 percentage points)\n\nTherefore, Region C has experienced the most significant decline in coral reef coverage.",
    "quiztype": "environmental studies",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Coral Reef Coverage by Region (%)",
        "headers": [
          "Year",
          "Region A",
          "Region B",
          "Region C",
          "Region D",
          "Region E"
        ],
        "rows": [
          {
            "Year": "2013",
            "Region A": "90",
            "Region B": "85",
            "Region C": "80",
            "Region D": "75",
            "Region E": "70"
          },
          {
            "Year": "2015",
            "Region A": "88",
            "Region B": "82",
            "Region C": "75",
            "Region D": "73",
            "Region E": "68"
          },
          {
            "Year": "2017",
            "Region A": "85",
            "Region B": "80",
            "Region C": "70",
            "Region D": "70",
            "Region E": "66"
          },
          {
            "Year": "2019",
            "Region A": "83",
            "Region B": "78",
            "Region C": "65",
            "Region D": "68",
            "Region E": "64"
          },
          {
            "Year": "2021",
            "Region A": "80",
            "Region B": "75",
            "Region C": "60",
            "Region D": "65",
            "Region E": "62"
          },
          {
            "Year": "2023",
            "Region A": "78",
            "Region B": "73",
            "Region C": "50",
            "Region D": "63",
            "Region E": "60"
          }
        ]
      }
    }
  },
  {
    "id": 1282,
    "type": "chartsquestion",
    "question": "An international sports federation is analyzing the performance statistics of five athletes over the past five seasons. The data shows the number of goals scored by each athlete per season. Coaches are interested in identifying which athlete has shown the most consistent improvement in performance.\n\nBased on the data provided, which athlete has demonstrated the most consistent improvement in goals scored over the five-season period?",
    "options": [
      "Athlete 1",
      "Athlete 2",
      "Athlete 3",
      "Athlete 4"
    ],
    "answer": "Athlete 2",
    "explanation": "The correct answer is 'Athlete 2.'\n\nLet's analyze the data for Athlete 2:\n\n- Season 1: 10 goals\n- Season 2: 15 goals\n- Season 3: 20 goals\n- Season 4: 25 goals\n- Season 5: 30 goals\n\nAthlete 2 shows a consistent increase of 5 goals each season.\n\nOther athletes:\n\n- Athlete 1: Fluctuating performance with minor increases.\n- Athlete 3: Decrease initially, then irregular increases.\n- Athlete 4: Peak in Season 2, then gradual decline.\n\nTherefore, Athlete 2 has demonstrated the most consistent improvement.",
    "quiztype": "sports analytics",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Goals Scored by Athlete per Season",
        "headers": [
          "Season",
          "Athlete 1",
          "Athlete 2",
          "Athlete 3",
          "Athlete 4",
          "Athlete 5"
        ],
        "rows": [
          {
            "Season": "1",
            "Athlete 1": "15",
            "Athlete 2": "10",
            "Athlete 3": "20",
            "Athlete 4": "25",
            "Athlete 5": "18"
          },
          {
            "Season": "2",
            "Athlete 1": "17",
            "Athlete 2": "15",
            "Athlete 3": "18",
            "Athlete 4": "27",
            "Athlete 5": "20"
          },
          {
            "Season": "3",
            "Athlete 1": "16",
            "Athlete 2": "20",
            "Athlete 3": "16",
            "Athlete 4": "26",
            "Athlete 5": "22"
          },
          {
            "Season": "4",
            "Athlete 1": "18",
            "Athlete 2": "25",
            "Athlete 3": "22",
            "Athlete 4": "24",
            "Athlete 5": "24"
          },
          {
            "Season": "5",
            "Athlete 1": "19",
            "Athlete 2": "30",
            "Athlete 3": "25",
            "Athlete 4": "22",
            "Athlete 5": "26"
          }
        ]
      }
    }
  },
  {
    "id": 1284,
    "type": "chartsquestion",
    "question": "A government agency is tracking the annual inflation rates of five countries over six years. Economists are interested in understanding which country has maintained the most stable inflation rate, indicating effective monetary policies.\n\nBased on the data provided, which country has maintained the most stable inflation rate over the six-year period?",
    "options": [
      "Country X",
      "Country Y",
      "Country Z",
      "Country W"
    ],
    "answer": "Country Y",
    "explanation": "The correct answer is 'Country Y.'\n\nLet's analyze Country Y's inflation rates:\n\n- 2017: 2.0%\n- 2018: 2.2%\n- 2019: 2.1%\n- 2020: 2.3%\n- 2021: 2.4%\n- 2022: 2.5%\n\nThe rates fluctuate minimally between 2.0% and 2.5%.\n\nOther countries have larger fluctuations:\n\n- Country X: Fluctuates between 3.0% and 4.0%\n- Country Z: Fluctuates between 3.8% and 4.5%\n- Country W: Fluctuates between 5.0% and 6.5%\n\nTherefore, Country Y has maintained the most stable inflation rate.",
    "quiztype": "economics",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Annual Inflation Rates by Country (%)",
        "headers": [
          "Year",
          "Country X",
          "Country Y",
          "Country Z",
          "Country W",
          "Country V"
        ],
        "rows": [
          {
            "Year": "2017",
            "Country X": "3.5",
            "Country Y": "2.0",
            "Country Z": "4.0",
            "Country W": "5.0",
            "Country V": "6.0"
          },
          {
            "Year": "2018",
            "Country X": "4.0",
            "Country Y": "2.2",
            "Country Z": "3.8",
            "Country W": "5.5",
            "Country V": "6.5"
          },
          {
            "Year": "2019",
            "Country X": "3.0",
            "Country Y": "2.1",
            "Country Z": "4.5",
            "Country W": "6.0",
            "Country V": "7.0"
          },
          {
            "Year": "2020",
            "Country X": "3.2",
            "Country Y": "2.3",
            "Country Z": "4.2",
            "Country W": "6.5",
            "Country V": "7.5"
          },
          {
            "Year": "2021",
            "Country X": "3.8",
            "Country Y": "2.4",
            "Country Z": "4.0",
            "Country W": "5.5",
            "Country V": "8.0"
          },
          {
            "Year": "2022",
            "Country X": "3.5",
            "Country Y": "2.5",
            "Country Z": "3.9",
            "Country W": "5.0",
            "Country V": "8.5"
          }
        ]
      }
    }
  },
  {
    "id": 1286,
    "type": "chartsquestion",
    "question": "Educational researchers are analyzing the average reading proficiency scores of students in five schools over the past four years. They aim to identify which school has shown the most improvement, potentially due to new literacy programs or teaching methods.\n\nBased on the data provided, which school has demonstrated the most significant improvement in average reading proficiency scores over the four-year period?",
    "options": [
      "School A",
      "School B",
      "School C",
      "School D"
    ],
    "answer": "School D",
    "explanation": "The correct answer is 'School D.'\n\nLet's analyze the data:\n\n- School D increased from 65 in 2019 to 85 in 2022, a 20-point increase.\n\nOther schools:\n\n- School A: Increased from 80 to 86 (6-point increase)\n- School B: Increased from 70 to 76 (6-point increase)\n- School C: Increased from 75 to 80 (5-point increase)\n\nTherefore, School D has demonstrated the most significant improvement.",
    "quiztype": "education",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Reading Proficiency Scores by School",
        "headers": [
          "Year",
          "School A",
          "School B",
          "School C",
          "School D",
          "School E"
        ],
        "rows": [
          {
            "Year": "2019",
            "School A": "80",
            "School B": "70",
            "School C": "75",
            "School D": "65",
            "School E": "78"
          },
          {
            "Year": "2020",
            "School A": "82",
            "School B": "72",
            "School C": "76",
            "School D": "72",
            "School E": "79"
          },
          {
            "Year": "2021",
            "School A": "84",
            "School B": "74",
            "School C": "78",
            "School D": "78",
            "School E": "80"
          },
          {
            "Year": "2022",
            "School A": "86",
            "School B": "76",
            "School C": "80",
            "School D": "85",
            "School E": "81"
          }
        ]
      }
    }
  },
  {
    "id": 1288,
    "type": "chartsquestion",
    "question": "A tech company is reviewing the average user ratings (out of 5 stars) for five of its mobile applications over the past five years. Product managers are interested in determining which application has seen the most consistent increase in user satisfaction.\n\nBased on the data provided, which application has shown the most consistent increase in average user ratings over the five-year period?",
    "options": [
      "App 1",
      "App 2",
      "App 3",
      "App 4"
    ],
    "answer": "App 3",
    "explanation": "The correct answer is 'App 3.'\n\nLet's analyze App 3's ratings:\n\n- 2018: 2.5\n- 2019: 3.0\n- 2020: 3.5\n- 2021: 4.0\n- 2022: 4.5\n\nApp 3 shows a consistent increase of 0.5 stars each year.\n\nOther apps:\n\n- App 1: Minor fluctuations, overall increase of 0.4 stars.\n- App 2: Increases, but less consistent.\n- App 4: Decreasing trend after initial high rating.\n\nTherefore, App 3 has shown the most consistent increase in user satisfaction.",
    "quiztype": "technology",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average User Ratings of Mobile Applications",
        "headers": [
          "Year",
          "App 1",
          "App 2",
          "App 3",
          "App 4",
          "App 5"
        ],
        "rows": [
          {
            "Year": "2018",
            "App 1": "4.0",
            "App 2": "3.5",
            "App 3": "2.5",
            "App 4": "4.5",
            "App 5": "3.0"
          },
          {
            "Year": "2019",
            "App 1": "4.2",
            "App 2": "3.8",
            "App 3": "3.0",
            "App 4": "4.2",
            "App 5": "3.5"
          },
          {
            "Year": "2020",
            "App 1": "4.1",
            "App 2": "3.9",
            "App 3": "3.5",
            "App 4": "4.0",
            "App 5": "4.0"
          },
          {
            "Year": "2021",
            "App 1": "4.3",
            "App 2": "4.0",
            "App 3": "4.0",
            "App 4": "3.9",
            "App 5": "4.2"
          },
          {
            "Year": "2022",
            "App 1": "4.4",
            "App 2": "4.1",
            "App 3": "4.5",
            "App 4": "3.8",
            "App 5": "4.3"
          }
        ]
      }
    }
  },
  {
    "id": 1290,
    "type": "chartsquestion",
    "question": "Ecologists are studying the population sizes of five bird species in a national reserve over the past six years. They aim to identify which species is showing signs of potential endangerment due to a significant decline in population.\n\nBased on the data provided, which bird species has experienced the most significant decline in population over the six-year period?",
    "options": [
      "Species A",
      "Species B",
      "Species C",
      "Species D"
    ],
    "answer": "Species B",
    "explanation": "The correct answer is 'Species B.'\n\nLet's analyze the data:\n\n- Species B decreased from 5,000 in 2017 to 2,000 in 2022, a decline of 3,000 birds (60% decrease).\n\nOther species:\n\n- Species A: Decreased by 500 (8.3% decrease)\n- Species C: Increased by 500 (7.1% increase)\n- Species D: Decreased by 500 (6.3% decrease)\n\nTherefore, Species B is showing the most significant decline.",
    "quiztype": "ecology",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Bird Population Sizes in National Reserve",
        "headers": [
          "Year",
          "Species A",
          "Species B",
          "Species C",
          "Species D",
          "Species E"
        ],
        "rows": [
          {
            "Year": "2017",
            "Species A": "6000",
            "Species B": "5000",
            "Species C": "7000",
            "Species D": "8000",
            "Species E": "9000"
          },
          {
            "Year": "2018",
            "Species A": "5900",
            "Species B": "4500",
            "Species C": "7100",
            "Species D": "7900",
            "Species E": "8900"
          },
          {
            "Year": "2019",
            "Species A": "5800",
            "Species B": "4000",
            "Species C": "7200",
            "Species D": "7800",
            "Species E": "8800"
          },
          {
            "Year": "2020",
            "Species A": "5700",
            "Species B": "3500",
            "Species C": "7300",
            "Species D": "7700",
            "Species E": "8700"
          },
          {
            "Year": "2021",
            "Species A": "5600",
            "Species B": "3000",
            "Species C": "7400",
            "Species D": "7600",
            "Species E": "8600"
          },
          {
            "Year": "2022",
            "Species A": "5500",
            "Species B": "2000",
            "Species C": "7500",
            "Species D": "7500",
            "Species E": "8500"
          }
        ]
      }
    }
  },
  {
    "id": 1292,
    "type": "chartsquestion",
    "question": "A retail company is analyzing the quarterly sales figures (in millions USD) for its five product categories over the past two years to identify which category has the highest growth potential.\n\nBased on the data provided, which product category has demonstrated the most significant percentage increase in sales over the two-year period?",
    "options": [
      "Electronics",
      "Clothing",
      "Home Goods",
      "Sports Equipment"
    ],
    "answer": "Sports Equipment",
    "explanation": "The correct answer is 'Sports Equipment.'\n\nLet's analyze the data:\n\n- Sports Equipment increased from $10 million in Q1 2021 to $30 million in Q4 2022.\n- This is a 200% increase:\n  \n  ( (30 - 10) / 10 ) × 100% = 200%\n\nOther categories:\n\n- Electronics: From $50 million to $85 million (70% increase)\n- Clothing: From $40 million to $54 million (35% increase)\n- Home Goods: From $30 million to $44 million (46.7% increase)\n\nTherefore, Sports Equipment has the most significant percentage increase in sales.",
    "quiztype": "business analysis",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Quarterly Sales Figures by Product Category (Millions USD)",
        "headers": [
          "Quarter",
          "Electronics",
          "Clothing",
          "Home Goods",
          "Sports Equipment",
          "Toys"
        ],
        "rows": [
          {
            "Quarter": "Q1 2021",
            "Electronics": "50",
            "Clothing": "40",
            "Home Goods": "30",
            "Sports Equipment": "10",
            "Toys": "20"
          },
          {
            "Quarter": "Q2 2021",
            "Electronics": "55",
            "Clothing": "42",
            "Home Goods": "32",
            "Sports Equipment": "15",
            "Toys": "22"
          },
          {
            "Quarter": "Q3 2021",
            "Electronics": "60",
            "Clothing": "44",
            "Home Goods": "34",
            "Sports Equipment": "20",
            "Toys": "24"
          },
          {
            "Quarter": "Q4 2021",
            "Electronics": "65",
            "Clothing": "46",
            "Home Goods": "36",
            "Sports Equipment": "22",
            "Toys": "26"
          },
          {
            "Quarter": "Q1 2022",
            "Electronics": "70",
            "Clothing": "48",
            "Home Goods": "38",
            "Sports Equipment": "24",
            "Toys": "28"
          },
          {
            "Quarter": "Q2 2022",
            "Electronics": "75",
            "Clothing": "50",
            "Home Goods": "40",
            "Sports Equipment": "26",
            "Toys": "30"
          },
          {
            "Quarter": "Q3 2022",
            "Electronics": "80",
            "Clothing": "52",
            "Home Goods": "42",
            "Sports Equipment": "28",
            "Toys": "32"
          },
          {
            "Quarter": "Q4 2022",
            "Electronics": "85",
            "Clothing": "54",
            "Home Goods": "44",
            "Sports Equipment": "30",
            "Toys": "34"
          }
        ]
      }
    }
  },
  {
    "id": 1294,
    "type": "chartsquestion",
    "question": "A transportation authority is studying the average commute times (in minutes) for residents in five cities over the past five years. Urban planners are interested in identifying which city has successfully reduced commute times, possibly through infrastructure improvements or public transportation initiatives.\n\nBased on the data provided, which city has achieved the most significant reduction in average commute times over the five-year period?",
    "options": [
      "City A",
      "City B",
      "City C",
      "City D"
    ],
    "answer": "City D",
    "explanation": "The correct answer is 'City D.'\n\nLet's analyze the data:\n\n- City D reduced commute times from 60 minutes in 2018 to 45 minutes in 2022, a reduction of 15 minutes (25% decrease).\n\nOther cities:\n\n- City A: Reduced by 5 minutes (12.5% decrease)\n- City B: Reduced by 4 minutes (8% decrease)\n- City C: Reduced by 4 minutes (7.3% decrease)\n\nTherefore, City D has achieved the most significant reduction in commute times.",
    "quiztype": "urban planning",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Commute Times by City (Minutes)",
        "headers": [
          "Year",
          "City A",
          "City B",
          "City C",
          "City D",
          "City E"
        ],
        "rows": [
          {
            "Year": "2018",
            "City A": "40",
            "City B": "50",
            "City C": "55",
            "City D": "60",
            "City E": "45"
          },
          {
            "Year": "2019",
            "City A": "38",
            "City B": "49",
            "City C": "54",
            "City D": "58",
            "City E": "44"
          },
          {
            "Year": "2020",
            "City A": "37",
            "City B": "48",
            "City C": "53",
            "City D": "55",
            "City E": "43"
          },
          {
            "Year": "2021",
            "City A": "36",
            "City B": "47",
            "City C": "52",
            "City D": "50",
            "City E": "42"
          },
          {
            "Year": "2022",
            "City A": "35",
            "City B": "46",
            "City C": "51",
            "City D": "45",
            "City E": "41"
          }
        ]
      }
    }
  },
  {
    "id": 1296,
    "type": "chartsquestion",
    "question": "A university department is tracking the number of research papers published by its faculty members in five different research areas over the past three years. The administration wants to identify which research area has seen the most growth in publications, possibly indicating emerging trends or increased focus.\n\nBased on the data provided, which research area has experienced the most significant increase in the number of publications over the three-year period?",
    "options": [
      "Artificial Intelligence",
      "Renewable Energy",
      "Genetics",
      "Cybersecurity"
    ],
    "answer": "Artificial Intelligence",
    "explanation": "The correct answer is 'Artificial Intelligence.'\n\nLet's analyze the data:\n\n- Artificial Intelligence increased from 20 publications in 2020 to 50 in 2022, an increase of 30 papers (150% increase).\n\nOther areas:\n\n- Renewable Energy: Increase of 5 papers\n- Genetics: Increase of 5 papers\n- Cybersecurity: Increase of 5 papers\n\nTherefore, Artificial Intelligence has experienced the most significant increase in publications.",
    "quiztype": "academic research",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Number of Research Papers Published by Area",
        "headers": [
          "Year",
          "Artificial Intelligence",
          "Renewable Energy",
          "Genetics",
          "Cybersecurity",
          "Nanotechnology"
        ],
        "rows": [
          {
            "Year": "2020",
            "Artificial Intelligence": "20",
            "Renewable Energy": "30",
            "Genetics": "25",
            "Cybersecurity": "15",
            "Nanotechnology": "10"
          },
          {
            "Year": "2021",
            "Artificial Intelligence": "35",
            "Renewable Energy": "32",
            "Genetics": "28",
            "Cybersecurity": "18",
            "Nanotechnology": "12"
          },
          {
            "Year": "2022",
            "Artificial Intelligence": "50",
            "Renewable Energy": "35",
            "Genetics": "30",
            "Cybersecurity": "20",
            "Nanotechnology": "15"
          }
        ]
      }
    }
  },
  {
    "id": 1298,
    "type": "chartsquestion",
    "question": "An insurance company is analyzing the average claim amounts (in thousands USD) for different types of insurance policies over the past five years. They are interested in identifying which policy type has seen the most significant increase in average claim amounts, possibly due to changes in risk factors or market conditions.\n\nBased on the data provided, which type of insurance policy has experienced the most significant increase in average claim amounts over the five-year period?",
    "options": [
      "Automobile",
      "Homeowners",
      "Health",
      "Life"
    ],
    "answer": "Health",
    "explanation": "The correct answer is 'Health.'\n\nLet's analyze the data:\n\n- Health Insurance increased from $5,000 in 2018 to $15,000 in 2022, an increase of $10,000 (200% increase).\n\nOther policies:\n\n- Automobile: Increase of $4,000 (57% increase)\n- Homeowners: Increase of $4,000 (40% increase)\n- Life: Increase of $8,000 (40% increase)\n\nTherefore, Health Insurance has experienced the most significant increase in average claim amounts.",
    "quiztype": "insurance",
    "chartData": {
      "type": "table",
      "data": {
        "title": "Average Claim Amounts by Policy Type (Thousands USD)",
        "headers": [
          "Year",
          "Automobile",
          "Homeowners",
          "Health",
          "Life",
          "Travel"
        ],
        "rows": [
          {
            "Year": "2018",
            "Automobile": "7",
            "Homeowners": "10",
            "Health": "5",
            "Life": "20",
            "Travel": "2"
          },
          {
            "Year": "2019",
            "Automobile": "8",
            "Homeowners": "11",
            "Health": "7",
            "Life": "22",
            "Travel": "2.5"
          },
          {
            "Year": "2020",
            "Automobile": "9",
            "Homeowners": "12",
            "Health": "9",
            "Life": "24",
            "Travel": "3"
          },
          {
            "Year": "2021",
            "Automobile": "10",
            "Homeowners": "13",
            "Health": "12",
            "Life": "26",
            "Travel": "3.5"
          },
          {
            "Year": "2022",
            "Automobile": "11",
            "Homeowners": "14",
            "Health": "15",
            "Life": "28",
            "Travel": "4"
          }
        ]
      }
    }
  },
  {
    "id": 1261,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the average test scores of students in Mathematics and English over three semesters. This data provides insights into academic performance trends among students. Based on the information presented in the chart, which of the following statements is most accurately supported by the data regarding the average scores?",
    "options": [
      "The average score in English was higher than the average score in Mathematics in all semesters.",
      "The average score in Mathematics decreased each semester.",
      "The average scores in Mathematics and English were equal in the second semester.",
      "The average score in English decreased in the final semester."
    ],
    "answer": "The average score in English was higher than the average score in Mathematics in all semesters.",
    "explanation": "Analyzing the data:\n\n- Semester 1: Mathematics - 75, English - 80.\n- Semester 2: Mathematics - 78, English - 83.\n- Semester 3: Mathematics - 80, English - 85.\n\nIn each semester, the average score in English was higher than the average score in Mathematics. Therefore, the statement 'The average score in English was higher than the average score in Mathematics in all semesters.' is correct.\n\nThe other options are incorrect based on the data:\n\n- The average score in Mathematics increased each semester.\n- The average scores were not equal in any semester.\n- The average score in English increased in the final semester.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Student Test Scores Over Three Semesters",
        "xAxisLabel": "Semester",
        "yAxisLabel": "Average Score",
        "headers": [
          "Semester",
          "Mathematics",
          "English"
        ],
        "rows": [
          {
            "Semester": "Semester 1",
            "Mathematics": 75,
            "English": 80
          },
          {
            "Semester": "Semester 2",
            "Mathematics": 78,
            "English": 83
          },
          {
            "Semester": "Semester 3",
            "Mathematics": 80,
            "English": 85
          }
        ]
      }
    }
  },
  {
    "id": 1263,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below displays the sales revenue of Smartphones and Laptops over four quarters of a fiscal year. This data reflects consumer purchasing trends in the technology market. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Smartphones generated higher sales revenue than Laptops in every quarter.",
      "Laptop sales revenue decreased each quarter.",
      "Smartphone sales revenue peaked in the third quarter.",
      "Both products had equal sales revenue in the second quarter."
    ],
    "answer": "Smartphones generated higher sales revenue than Laptops in every quarter.",
    "explanation": "From the data:\n\n- Quarter 1: Smartphones - $200 million, Laptops - $180 million.\n- Quarter 2: Smartphones - $210 million, Laptops - $190 million.\n- Quarter 3: Smartphones - $220 million, Laptops - $200 million.\n- Quarter 4: Smartphones - $230 million, Laptops - $210 million.\n\nSmartphones consistently had higher sales revenue than Laptops in all quarters, so the statement 'Smartphones generated higher sales revenue than Laptops in every quarter.' is correct.\n\nThe statement 'Laptop sales revenue decreased each quarter.' is incorrect; Laptop sales revenue increased from $180 million to $210 million over the quarters.\n\nThe statement 'Smartphone sales revenue peaked in the third quarter.' is incorrect; it was highest in the fourth quarter ($230 million).\n\nThe statement 'Both products had equal sales revenue in the second quarter.' is incorrect; Smartphones - $210 million, Laptops - $190 million.\n\nTherefore, the statement 'Smartphones generated higher sales revenue than Laptops in every quarter.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Sales Revenue of Smartphones and Laptops",
        "xAxisLabel": "Quarter",
        "yAxisLabel": "Sales Revenue (in Million USD)",
        "headers": [
          "Quarter",
          "Smartphones",
          "Laptops"
        ],
        "rows": [
          {
            "Quarter": "Q1",
            "Smartphones": 200,
            "Laptops": 180
          },
          {
            "Quarter": "Q2",
            "Smartphones": 210,
            "Laptops": 190
          },
          {
            "Quarter": "Q3",
            "Smartphones": 220,
            "Laptops": 200
          },
          {
            "Quarter": "Q4",
            "Smartphones": 230,
            "Laptops": 210
          }
        ]
      }
    }
  },
  {
    "id": 1265,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below represents the annual rainfall in two different regions—Coastal and Inland—over four years. This data helps in understanding climatic patterns in these regions. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "The Inland region had higher rainfall than the Coastal region in all years.",
      "Rainfall in the Coastal region decreased every year.",
      "Both regions had equal rainfall in the third year.",
      "The Coastal region experienced its highest rainfall in the final year."
    ],
    "answer": "The Coastal region experienced its highest rainfall in the final year.",
    "explanation": "Analyzing the data:\n\n- Coastal Region Rainfall (mm): Year 1 - 800, Year 2 - 850, Year 3 - 900, Year 4 - 950.\n\nThe Coastal region's rainfall increased each year, reaching its highest in the final year. Therefore, the statement 'The Coastal region experienced its highest rainfall in the final year.' is correct.\n\nThe statement 'The Inland region had higher rainfall than the Coastal region in all years.' is incorrect; in Year 4, Coastal - 950 mm, Inland - 900 mm.\n\nThe statement 'Rainfall in the Coastal region decreased every year.' is incorrect; it increased from 800 mm to 950 mm over the years.\n\nThe statement 'Both regions had equal rainfall in the third year.' is incorrect; Coastal - 900 mm, Inland - 890 mm.\n\nTherefore, the statement 'The Coastal region experienced its highest rainfall in the final year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Annual Rainfall in Coastal and Inland Regions",
        "xAxisLabel": "Year",
        "yAxisLabel": "Rainfall (mm)",
        "headers": [
          "Year",
          "Coastal",
          "Inland"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Coastal": 800,
            "Inland": 850
          },
          {
            "Year": "Year 2",
            "Coastal": 850,
            "Inland": 870
          },
          {
            "Year": "Year 3",
            "Coastal": 900,
            "Inland": 890
          },
          {
            "Year": "Year 4",
            "Coastal": 950,
            "Inland": 900
          }
        ]
      }
    }
  },
  {
    "id": 1267,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the number of electric vehicles (EVs) sold by two companies—Company X and Company Y—over three years. This data illustrates the growth in EV adoption from these manufacturers. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Company Y sold more EVs than Company X in every year.",
      "Company X's EV sales tripled from the first to the last year.",
      "Company X's EV sales remained constant over the years.",
      "Company Y's EV sales decreased in the final year."
    ],
    "answer": "Company X's EV sales tripled from the first to the last year.",
    "explanation": "Analyzing the data:\n\n- Company X EV Sales: Year 1 - 10,000 units, Year 2 - 20,000 units, Year 3 - 30,000 units.\n\nCompany X's sales increased from 10,000 to 30,000 units, effectively tripling. Therefore, the statement 'Company X's EV sales tripled from the first to the last year.' is correct.\n\nThe statement 'Company Y sold more EVs than Company X in every year.' is incorrect; in Year 3, Company X sold more.\n\nThe statement 'Company X's EV sales remained constant over the years.' is incorrect; sales increased each year.\n\nThe statement 'Company Y's EV sales decreased in the final year.' is incorrect; their sales remained the same from Year 2 to Year 3.\n\nTherefore, the statement 'Company X's EV sales tripled from the first to the last year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Electric Vehicle Sales Over Three Years",
        "xAxisLabel": "Year",
        "yAxisLabel": "Number of EVs Sold",
        "headers": [
          "Year",
          "Company X",
          "Company Y"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Company X": 10000,
            "Company Y": 15000
          },
          {
            "Year": "Year 2",
            "Company X": 20000,
            "Company Y": 20000
          },
          {
            "Year": "Year 3",
            "Company X": 30000,
            "Company Y": 20000
          }
        ]
      }
    }
  },
  {
    "id": 1269,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the percentage of renewable energy usage in two countries—Country A and Country B—over three years. This data reflects the shift towards sustainable energy sources. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Country B had a higher percentage of renewable energy usage than Country A in all years.",
      "Both countries achieved the same percentage of renewable energy usage in the final year.",
      "Country A's renewable energy usage decreased each year.",
      "Country B's renewable energy usage decreased from the first to the last year."
    ],
    "answer": "Both countries achieved the same percentage of renewable energy usage in the final year.",
    "explanation": "From the data:\n\n- Final Year Renewable Energy Usage: Country A - 40%, Country B - 40%.\n\nSince both countries had 40% usage in the final year, the statement 'Both countries achieved the same percentage of renewable energy usage in the final year.' is correct.\n\nThe statement 'Country B had a higher percentage of renewable energy usage than Country A in all years.' is incorrect; in the final year, their percentages were equal.\n\nThe statement 'Country A's renewable energy usage decreased each year.' is incorrect; it increased from 30% to 40% over the years.\n\nThe statement 'Country B's renewable energy usage decreased from the first to the last year.' is incorrect; it increased from 35% to 40%.\n\nTherefore, the statement 'Both countries achieved the same percentage of renewable energy usage in the final year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Renewable Energy Usage Over Three Years",
        "xAxisLabel": "Year",
        "yAxisLabel": "Renewable Energy Usage (%)",
        "headers": [
          "Year",
          "Country A",
          "Country B"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Country A": 30,
            "Country B": 35
          },
          {
            "Year": "Year 2",
            "Country A": 35,
            "Country B": 38
          },
          {
            "Year": "Year 3",
            "Country A": 40,
            "Country B": 40
          }
        ]
      }
    }
  },
  {
    "id": 1271,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the number of visitors to a museum during weekdays and weekends over three weeks. This data provides insights into visitor patterns. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "The museum had more visitors on weekends than on weekdays throughout the month.",
      "Weekday visitor numbers decreased each week.",
      "Weekend visitor numbers decreased each week.",
      "The number of weekday visitors remained the same every week."
    ],
    "answer": "The museum had more visitors on weekends than on weekdays throughout the month.",
    "explanation": "From the data:\n\n- Weekday Visitors:\n  - Week 1: 1,000\n  - Week 2: 1,200\n  - Week 3: 1,300\n- Weekend Visitors:\n  - Week 1: 1,500\n  - Week 2: 1,800\n  - Week 3: 2,000\n\nThe statement 'The museum had more visitors on weekends than on weekdays throughout the month.' is correct.\n\nThe statement 'Weekday visitor numbers decreased each week.' is incorrect; they increased from 1,000 to 1,300.\n\nThe statement 'Weekend visitor numbers decreased each week.' is incorrect; they increased from 1,500 to 2,000.\n\nThe statement 'The number of weekday visitors remained the same every week.' is incorrect; the numbers varied each week.\n\nTherefore, the statement 'The museum had more visitors on weekends than on weekdays throughout the month.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Museum Visitors Over Three Weeks",
        "xAxisLabel": "Week",
        "yAxisLabel": "Number of Visitors",
        "headers": [
          "Week",
          "Weekdays",
          "Weekends"
        ],
        "rows": [
          {
            "Week": "Week 1",
            "Weekdays": 1000,
            "Weekends": 1500
          },
          {
            "Week": "Week 2",
            "Weekdays": 1200,
            "Weekends": 1800
          },
          {
            "Week": "Week 3",
            "Weekdays": 1300,
            "Weekends": 2000
          }
        ]
      }
    }
  },
  {
    "id": 1273,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below depicts the market shares of two smartphone operating systems—OS A and OS B—over four years. This data highlights competition in the smartphone industry. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "OS A maintained a larger market share than OS B in all years.",
      "OS B's market share decreased each year.",
      "Both operating systems had equal market shares in the final year.",
      "OS A's market share increased in the final year."
    ],
    "answer": "OS A maintained a larger market share than OS B in all years.",
    "explanation": "Analyzing the data:\n\n- OS A Market Shares: Year 1 - 60%, Year 2 - 58%, Year 3 - 55%, Year 4 - 53%.\n- OS B Market Shares: Year 1 - 40%, Year 2 - 42%, Year 3 - 45%, Year 4 - 47%.\n\nOS A consistently had a larger market share than OS B in all years. Therefore, the statement 'OS A maintained a larger market share than OS B in all years.' is correct.\n\nThe statement 'OS B's market share decreased each year.' is incorrect; it increased from 40% to 47%.\n\nThe statement 'Both operating systems had equal market shares in the final year.' is incorrect; OS A - 53%, OS B - 47%.\n\nThe statement 'OS A's market share increased in the final year.' is incorrect; it decreased from 55% to 53%.\n\nTherefore, the statement 'OS A maintained a larger market share than OS B in all years.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Smartphone Operating System Market Shares Over Four Years",
        "xAxisLabel": "Year",
        "yAxisLabel": "Market Share (%)",
        "headers": [
          "Year",
          "OS A",
          "OS B"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "OS A": 60,
            "OS B": 40
          },
          {
            "Year": "Year 2",
            "OS A": 58,
            "OS B": 42
          },
          {
            "Year": "Year 3",
            "OS A": 55,
            "OS B": 45
          },
          {
            "Year": "Year 4",
            "OS A": 53,
            "OS B": 47
          }
        ]
      }
    }
  },
  {
    "id": 1275,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the production of renewable energy from Solar and Wind sources in a country over three years. This data reflects the nation's efforts towards sustainable energy generation. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Wind energy production was higher than Solar energy production in all years.",
      "Solar energy production doubled from the first to the last year.",
      "Both energy sources had equal production in the second year.",
      "Wind energy production decreased each year."
    ],
    "answer": "Solar energy production doubled from the first to the last year.",
    "explanation": "From the data:\n\n- Solar Energy Production: Year 1 - 100 TWh, Year 2 - 150 TWh, Year 3 - 200 TWh.\n\nSolar energy production increased from 100 TWh to 200 TWh, effectively doubling. Therefore, the statement 'Solar energy production doubled from the first to the last year.' is correct.\n\nThe statement 'Wind energy production was higher than Solar energy production in all years.' is incorrect; in Year 3, both had equal production at 200 TWh.\n\nThe statement 'Both energy sources had equal production in the second year.' is incorrect; Solar - 150 TWh, Wind - 190 TWh.\n\nThe statement 'Wind energy production decreased each year.' is incorrect; it increased from 180 TWh to 200 TWh.\n\nTherefore, the statement 'Solar energy production doubled from the first to the last year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Solar and Wind Energy Production Over Three Years",
        "xAxisLabel": "Year",
        "yAxisLabel": "Energy Production (TWh)",
        "headers": [
          "Year",
          "Solar",
          "Wind"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Solar": 100,
            "Wind": 180
          },
          {
            "Year": "Year 2",
            "Solar": 150,
            "Wind": 190
          },
          {
            "Year": "Year 3",
            "Solar": 200,
            "Wind": 200
          }
        ]
      }
    }
  },
  {
    "id": 1277,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the attendance figures for Football and Basketball games over four seasons. This data highlights spectator interest in these sports. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Football had higher attendance than Basketball in every season.",
      "Basketball attendance decreased in the final season.",
      "Both sports had equal attendance in the third season.",
      "Football attendance decreased in the final season."
    ],
    "answer": "Football attendance decreased in the final season.",
    "explanation": "Analyzing the data:\n\n- Football Attendance:\n  - Season 1: 40,000\n  - Season 2: 45,000\n  - Season 3: 50,000\n  - Season 4: 45,000\n- Basketball Attendance:\n  - Season 1: 30,000\n  - Season 2: 35,000\n  - Season 3: 40,000\n  - Season 4: 50,000\n\nThe statement 'Football attendance decreased in the final season.' is correct, as Football attendance dropped from 50,000 to 45,000.\n\nThe statement 'Football had higher attendance than Basketball in every season.' is incorrect; in Season 4, Basketball had higher attendance.\n\nThe statement 'Basketball attendance decreased in the final season.' is incorrect; it increased from 40,000 to 50,000.\n\nThe statement 'Both sports had equal attendance in the third season.' is incorrect; Football had 50,000, and Basketball had 40,000.\n\nTherefore, the statement 'Football attendance decreased in the final season.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Attendance Figures for Football and Basketball Over Four Seasons",
        "xAxisLabel": "Season",
        "yAxisLabel": "Attendance",
        "headers": [
          "Season",
          "Football",
          "Basketball"
        ],
        "rows": [
          {
            "Season": "Season 1",
            "Football": 40000,
            "Basketball": 30000
          },
          {
            "Season": "Season 2",
            "Football": 45000,
            "Basketball": 35000
          },
          {
            "Season": "Season 3",
            "Football": 50000,
            "Basketball": 40000
          },
          {
            "Season": "Season 4",
            "Football": 45000,
            "Basketball": 50000
          }
        ]
      }
    }
  },
  {
    "id": 1279,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the production output in units for Factory A and Factory B over four months. This data provides insights into manufacturing productivity. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Factory A had higher production output than Factory B in every month.",
      "Factory B's production output decreased in the second month.",
      "Both factories had equal production output in the third month.",
      "Factory A's production output decreased in the final month."
    ],
    "answer": "Both factories had equal production output in the third month.",
    "explanation": "Analyzing the data:\n\n- Factory A Production Output (Units):\n  - Month 1: 600\n  - Month 2: 650\n  - Month 3: 700\n  - Month 4: 700\n- Factory B Production Output (Units):\n  - Month 1: 500\n  - Month 2: 600\n  - Month 3: 700\n  - Month 4: 800\n\nThe statement 'Both factories had equal production output in the third month.' is correct, as both produced 700 units.\n\nThe statement 'Factory A had higher production output than Factory B in every month.' is incorrect; in Month 3, outputs were equal, and in Month 4, Factory B had higher output.\n\nThe statement 'Factory B's production output decreased in the second month.' is incorrect; it increased from 500 to 600 units.\n\nThe statement 'Factory A's production output decreased in the final month.' is incorrect; it remained constant at 700 units.\n\nTherefore, the statement 'Both factories had equal production output in the third month.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Production Output for Factories A and B",
        "xAxisLabel": "Month",
        "yAxisLabel": "Production Output (Units)",
        "headers": [
          "Month",
          "Factory A",
          "Factory B"
        ],
        "rows": [
          {
            "Month": "Month 1",
            "Factory A": 600,
            "Factory B": 500
          },
          {
            "Month": "Month 2",
            "Factory A": 650,
            "Factory B": 600
          },
          {
            "Month": "Month 3",
            "Factory A": 700,
            "Factory B": 700
          },
          {
            "Month": "Month 4",
            "Factory A": 700,
            "Factory B": 800
          }
        ]
      }
    }
  },
  {
    "id": 1281,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below displays the average monthly rainfall in Millimeters (mm) in City X over five months. This data helps understand the seasonal rainfall patterns in the region. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "The highest rainfall occurred in March.",
      "Rainfall decreased every month.",
      "April had the lowest rainfall.",
      "Rainfall in May was higher than in February."
    ],
    "answer": "The highest rainfall occurred in March.",
    "explanation": "Analyzing the data:\n\n- January: 80 mm\n- February: 100 mm\n- March: 150 mm\n- April: 120 mm\n- May: 90 mm\n\nThe highest rainfall was in March at 150 mm, so the statement 'The highest rainfall occurred in March.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'The highest rainfall occurred in March.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Monthly Rainfall in City X",
        "xAxisLabel": "Month",
        "yAxisLabel": "Rainfall (mm)",
        "headers": [
          "Month",
          "Rainfall (mm)"
        ],
        "rows": [
          {
            "Month": "January",
            "Rainfall (mm)": 80
          },
          {
            "Month": "February",
            "Rainfall (mm)": 100
          },
          {
            "Month": "March",
            "Rainfall (mm)": 150
          },
          {
            "Month": "April",
            "Rainfall (mm)": 120
          },
          {
            "Month": "May",
            "Rainfall (mm)": 90
          }
        ]
      }
    }
  },
  {
    "id": 1283,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the number of books read by high school students during summer break over four years. This data sheds light on reading habits among teenagers. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Students read the most books in 2018.",
      "The number of books read decreased each year.",
      "Students read the same number of books in 2016 and 2017.",
      "2019 saw an increase in books read compared to 2018."
    ],
    "answer": "Students read the most books in 2018.",
    "explanation": "Analyzing the data:\n\n- 2016: 5 books\n- 2017: 7 books\n- 2018: 10 books\n- 2019: 8 books\n\nThe highest number of books read was in 2018 with 10 books, so the statement 'Students read the most books in 2018.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'Students read the most books in 2018.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Number of Books Read by Students Over Four Years",
        "xAxisLabel": "Year",
        "yAxisLabel": "Number of Books",
        "headers": [
          "Year",
          "Number of Books"
        ],
        "rows": [
          {
            "Year": 2016,
            "Number of Books": 5
          },
          {
            "Year": 2017,
            "Number of Books": 7
          },
          {
            "Year": 2018,
            "Number of Books": 10
          },
          {
            "Year": 2019,
            "Number of Books": 8
          }
        ]
      }
    }
  },
  {
    "id": 1285,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the average internet download speeds in Country Y over four years. This data highlights technological advancements in internet infrastructure. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Internet speeds doubled from 2017 to 2019.",
      "The slowest internet speed was in 2018.",
      "There was a steady increase in internet speeds each year.",
      "Internet speeds remained constant from 2016 to 2017."
    ],
    "answer": "There was a steady increase in internet speeds each year.",
    "explanation": "Analyzing the data:\n\n- 2016: 20 Mbps\n- 2017: 30 Mbps\n- 2018: 40 Mbps\n- 2019: 50 Mbps\n\nInternet speeds increased by 10 Mbps each year, indicating a steady increase. Therefore, the statement 'There was a steady increase in internet speeds each year.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'There was a steady increase in internet speeds each year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Internet Download Speeds in Country Y",
        "xAxisLabel": "Year",
        "yAxisLabel": "Speed (Mbps)",
        "headers": [
          "Year",
          "Speed (Mbps)"
        ],
        "rows": [
          {
            "Year": 2016,
            "Speed (Mbps)": 20
          },
          {
            "Year": 2017,
            "Speed (Mbps)": 30
          },
          {
            "Year": 2018,
            "Speed (Mbps)": 40
          },
          {
            "Year": 2019,
            "Speed (Mbps)": 50
          }
        ]
      }
    }
  },
  {
    "id": 1287,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below represents the average number of daily steps taken by participants in a fitness program over five weeks. This data reflects changes in physical activity levels. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Participants walked the most steps in Week 3.",
      "Week 5 had the highest number of steps.",
      "The number of steps increased every week.",
      "Week 2 had fewer steps than Week 1."
    ],
    "answer": "Participants walked the most steps in Week 3.",
    "explanation": "Analyzing the data:\n\n- Week 1: 5,000 steps\n- Week 2: 6,500 steps\n- Week 3: 8,000 steps\n- Week 4: 7,500 steps\n- Week 5: 7,000 steps\n\nThe highest number of steps was in Week 3 at 8,000 steps, so the statement 'Participants walked the most steps in Week 3.' is correct.\n\nThe statement 'Week 5 had the highest number of steps.' is incorrect; Week 5 had 7,000 steps, less than Week 3.\n\nThe statement 'The number of steps increased every week.' is incorrect; steps decreased after Week 3.\n\nThe statement 'Week 2 had fewer steps than Week 1.' is incorrect; Week 2 had more steps (6,500) than Week 1 (5,000).\n\nTherefore, 'Participants walked the most steps in Week 3.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Daily Steps Over Five Weeks",
        "xAxisLabel": "Week",
        "yAxisLabel": "Number of Steps",
        "headers": [
          "Week",
          "Number of Steps"
        ],
        "rows": [
          {
            "Week": "Week 1",
            "Number of Steps": 5000
          },
          {
            "Week": "Week 2",
            "Number of Steps": 6500
          },
          {
            "Week": "Week 3",
            "Number of Steps": 8000
          },
          {
            "Week": "Week 4",
            "Number of Steps": 7500
          },
          {
            "Week": "Week 5",
            "Number of Steps": 7000
          }
        ]
      }
    }
  },
  {
    "id": 1289,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the carbon dioxide emissions (in million metric tons) from Country Z over five years. This data highlights environmental impact trends. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Emissions decreased steadily after 2016.",
      "2018 had the highest emissions.",
      "Emissions remained the same from 2017 to 2018.",
      "There was an increase in emissions every year."
    ],
    "answer": "Emissions decreased steadily after 2016.",
    "explanation": "Analyzing the data:\n\n- 2015: 500 million metric tons\n- 2016: 550 million metric tons\n- 2017: 530 million metric tons\n- 2018: 510 million metric tons\n- 2019: 490 million metric tons\n\nEmissions peaked in 2016 at 550 million metric tons and then decreased steadily each year thereafter. Therefore, 'Emissions decreased steadily after 2016.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "CO2 Emissions from Country Z Over Five Years",
        "xAxisLabel": "Year",
        "yAxisLabel": "Emissions (Million Metric Tons)",
        "headers": [
          "Year",
          "Emissions (Million Metric Tons)"
        ],
        "rows": [
          {
            "Year": 2015,
            "Emissions (Million Metric Tons)": 500
          },
          {
            "Year": 2016,
            "Emissions (Million Metric Tons)": 550
          },
          {
            "Year": 2017,
            "Emissions (Million Metric Tons)": 530
          },
          {
            "Year": 2018,
            "Emissions (Million Metric Tons)": 510
          },
          {
            "Year": 2019,
            "Emissions (Million Metric Tons)": 490
          }
        ]
      }
    }
  },
  {
    "id": 1291,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the average weekly working hours of employees in Company A over four quarters. This data reflects workload trends during the fiscal year. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Employees worked the most hours in Quarter 2.",
      "There was a reduction in working hours from Quarter 3 to Quarter 4.",
      "Working hours increased each quarter.",
      "Employees worked the same hours in Quarter 1 and Quarter 4."
    ],
    "answer": "There was a reduction in working hours from Quarter 3 to Quarter 4.",
    "explanation": "Analyzing the data:\n\n- Quarter 1: 40 hours\n- Quarter 2: 42 hours\n- Quarter 3: 44 hours\n- Quarter 4: 41 hours\n\nWorking hours decreased from 44 in Quarter 3 to 41 in Quarter 4, so 'There was a reduction in working hours from Quarter 3 to Quarter 4.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'There was a reduction in working hours from Quarter 3 to Quarter 4.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Weekly Working Hours in Company A",
        "xAxisLabel": "Quarter",
        "yAxisLabel": "Working Hours",
        "headers": [
          "Quarter",
          "Working Hours"
        ],
        "rows": [
          {
            "Quarter": "Q1",
            "Working Hours": 40
          },
          {
            "Quarter": "Q2",
            "Working Hours": 42
          },
          {
            "Quarter": "Q3",
            "Working Hours": 44
          },
          {
            "Quarter": "Q4",
            "Working Hours": 41
          }
        ]
      }
    }
  },
  {
    "id": 1293,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the average daily calories consumed by individuals in City B over four decades. This data provides insights into dietary trends over time. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Calorie consumption was highest in the 1990s.",
      "There was a decline in calorie consumption after the 2000s.",
      "Calorie intake remained constant throughout the decades.",
      "The 2010s saw the lowest average calorie consumption."
    ],
    "answer": "There was a decline in calorie consumption after the 2000s.",
    "explanation": "Analyzing the data:\n\n- 1980s: 2,500 calories\n- 1990s: 2,700 calories\n- 2000s: 2,800 calories\n- 2010s: 2,600 calories\n\nCalorie consumption increased until the 2000s and then declined in the 2010s. Therefore, 'There was a decline in calorie consumption after the 2000s.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'There was a decline in calorie consumption after the 2000s.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Daily Calorie Consumption in City B",
        "xAxisLabel": "Decade",
        "yAxisLabel": "Calories",
        "headers": [
          "Decade",
          "Calories"
        ],
        "rows": [
          {
            "Decade": "1980s",
            "Calories": 2500
          },
          {
            "Decade": "1990s",
            "Calories": 2700
          },
          {
            "Decade": "2000s",
            "Calories": 2800
          },
          {
            "Decade": "2010s",
            "Calories": 2600
          }
        ]
      }
    }
  },
  {
    "id": 1295,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below represents the average price of gasoline per gallon in Country C over five months. This data reflects fluctuations in fuel prices. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Gasoline prices peaked in March.",
      "Prices increased from April to May.",
      "The lowest price was in February.",
      "Prices remained unchanged between January and February."
    ],
    "answer": "Gasoline prices peaked in March.",
    "explanation": "Analyzing the data:\n\n- January: $2.50\n- February: $2.70\n- March: $3.00\n- April: $2.80\n- May: $2.60\n\nThe highest price was in March at $3.00 per gallon, so 'Gasoline prices peaked in March.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'Gasoline prices peaked in March.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Gasoline Prices in Country C",
        "xAxisLabel": "Month",
        "yAxisLabel": "Price per Gallon ($)",
        "headers": [
          "Month",
          "Price per Gallon ($)"
        ],
        "rows": [
          {
            "Month": "January",
            "Price per Gallon ($)": 2.5
          },
          {
            "Month": "February",
            "Price per Gallon ($)": 2.7
          },
          {
            "Month": "March",
            "Price per Gallon ($)": 3
          },
          {
            "Month": "April",
            "Price per Gallon ($)": 2.8
          },
          {
            "Month": "May",
            "Price per Gallon ($)": 2.6
          }
        ]
      }
    }
  },
  {
    "id": 1297,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the number of smartphone users in Region D over four years. This data highlights technology adoption trends. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "The number of smartphone users doubled from 2017 to 2019.",
      "There was a decrease in users in 2018.",
      "Smartphone usage increased each year.",
      "2019 had the lowest number of users."
    ],
    "answer": "Smartphone usage increased each year.",
    "explanation": "Analyzing the data:\n\n- 2016: 1 million users\n- 2017: 1.5 million users\n- 2018: 2 million users\n- 2019: 2.5 million users\n\nThe number of users increased each year, so 'Smartphone usage increased each year.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'Smartphone usage increased each year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Number of Smartphone Users in Region D",
        "xAxisLabel": "Year",
        "yAxisLabel": "Number of Users (Millions)",
        "headers": [
          "Year",
          "Number of Users (Millions)"
        ],
        "rows": [
          {
            "Year": 2016,
            "Number of Users (Millions)": 1
          },
          {
            "Year": 2017,
            "Number of Users (Millions)": 1.5
          },
          {
            "Year": 2018,
            "Number of Users (Millions)": 2
          },
          {
            "Year": 2019,
            "Number of Users (Millions)": 2.5
          }
        ]
      }
    }
  },
  {
    "id": 1299,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the attendance numbers at a science museum over five months. This data provides insights into public interest trends. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Attendance peaked in April.",
      "The lowest attendance was in April.",
      "Attendance numbers increased from April to May.",
      "Attendance was highest in January."
    ],
    "answer": "Attendance peaked in April.",
    "explanation": "Analyzing the data:\n\n- January: 10,000 visitors\n- February: 12,000 visitors\n- March: 12,000 visitors\n- April: 15,000 visitors\n- May: 13,000 visitors\n\nThe highest attendance was in April with 15,000 visitors, so 'Attendance peaked in April.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'Attendance peaked in April.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Museum Attendance Over Five Months",
        "xAxisLabel": "Month",
        "yAxisLabel": "Number of Visitors",
        "headers": [
          "Month",
          "Number of Visitors"
        ],
        "rows": [
          {
            "Month": "January",
            "Number of Visitors": 10000
          },
          {
            "Month": "February",
            "Number of Visitors": 12000
          },
          {
            "Month": "March",
            "Number of Visitors": 12000
          },
          {
            "Month": "April",
            "Number of Visitors": 15000
          },
          {
            "Month": "May",
            "Number of Visitors": 13000
          }
        ]
      }
    }
  },
  {
    "id": 1300,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the percentage of households with access to clean drinking water in Country E over five years. This data reflects improvements in public health infrastructure. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Access to clean water increased every year.",
      "There was a decrease in access from 2018 to 2019.",
      "The highest percentage was in 2017.",
      "Access remained constant from 2016 to 2017."
    ],
    "answer": "Access to clean water increased every year.",
    "explanation": "Analyzing the data:\n\n- 2015: 60%\n- 2016: 65%\n- 2017: 70%\n- 2018: 75%\n- 2019: 80%\n\nThe percentage increased each year, so 'Access to clean water increased every year.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'Access to clean water increased every year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Household Access to Clean Water in Country E",
        "xAxisLabel": "Year",
        "yAxisLabel": "Access Percentage (%)",
        "headers": [
          "Year",
          "Access Percentage (%)"
        ],
        "rows": [
          {
            "Year": 2015,
            "Access Percentage (%)": 60
          },
          {
            "Year": 2016,
            "Access Percentage (%)": 65
          },
          {
            "Year": 2017,
            "Access Percentage (%)": 70
          },
          {
            "Year": 2018,
            "Access Percentage (%)": 75
          },
          {
            "Year": 2019,
            "Access Percentage (%)": 80
          }
        ]
      }
    }
  },
  {
    "id": 1301,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the production output of Factory F in units over five months. This data reflects productivity levels. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Production output was highest in May.",
      "There was a consistent decrease in output each month.",
      "April and May had the same production output.",
      "Production output increased from March to April."
    ],
    "answer": "Production output increased from March to April.",
    "explanation": "Analyzing the data:\n\n- January: 1,000 units\n- February: 1,200 units\n- March: 1,100 units\n- April: 1,300 units\n- May: 1,250 units\n\nProduction increased from 1,100 units in March to 1,300 units in April, so 'Production output increased from March to April.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'Production output increased from March to April.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Production Output of Factory F",
        "xAxisLabel": "Month",
        "yAxisLabel": "Units Produced",
        "headers": [
          "Month",
          "Units Produced"
        ],
        "rows": [
          {
            "Month": "January",
            "Units Produced": 1000
          },
          {
            "Month": "February",
            "Units Produced": 1200
          },
          {
            "Month": "March",
            "Units Produced": 1100
          },
          {
            "Month": "April",
            "Units Produced": 1300
          },
          {
            "Month": "May",
            "Units Produced": 1250
          }
        ]
      }
    }
  },
  {
    "id": 1302,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the number of students enrolling in online courses at University G over five semesters. This data highlights trends in online education. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Enrollment increased every semester.",
      "The highest enrollment was in Semester 3.",
      "There was a decrease in enrollment from Semester 4 to Semester 5.",
      "Semester 2 had the lowest enrollment."
    ],
    "answer": "There was a decrease in enrollment from Semester 4 to Semester 5.",
    "explanation": "Analyzing the data:\n\n- Semester 1: 500 students\n- Semester 2: 700 students\n- Semester 3: 900 students\n- Semester 4: 1,000 students\n- Semester 5: 950 students\n\nEnrollment decreased from 1,000 students in Semester 4 to 950 in Semester 5, so 'There was a decrease in enrollment from Semester 4 to Semester 5.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'There was a decrease in enrollment from Semester 4 to Semester 5.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Online Course Enrollment at University G",
        "xAxisLabel": "Semester",
        "yAxisLabel": "Number of Students",
        "headers": [
          "Semester",
          "Number of Students"
        ],
        "rows": [
          {
            "Semester": "Semester 1",
            "Number of Students": 500
          },
          {
            "Semester": "Semester 2",
            "Number of Students": 700
          },
          {
            "Semester": "Semester 3",
            "Number of Students": 900
          },
          {
            "Semester": "Semester 4",
            "Number of Students": 1000
          },
          {
            "Semester": "Semester 5",
            "Number of Students": 950
          }
        ]
      }
    }
  },
  {
    "id": 1303,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the average Air Quality Index (AQI) in City H over five days. This data reflects environmental conditions. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "The air quality was worst on Day 4.",
      "Air quality improved each day after Day 2.",
      "Day 5 had the worst air quality of the week.",
      "AQI was lowest on Day 5."
    ],
    "answer": "The air quality was worst on Day 4.",
    "explanation": "Analyzing the data:\n\n- Day 1: AQI 150\n- Day 2: AQI 160\n- Day 3: AQI 160\n- Day 4: AQI 170\n- Day 5: AQI 155\n\nThe highest AQI (indicating the worst air quality) was on Day 4 at 170, so the statement 'The air quality was worst on Day 4.' is correct.\n\n'Air quality improved each day after Day 2' is incorrect because air quality did not consistently improve after Day 2; AQI deteriorated from 160 on Day 3 to 170 on Day 4.\n\n'Day 5 had the worst air quality of the week' is incorrect; Day 5 had an AQI of 155, which is better than Day 4's AQI of 170.\n\n'AQI was lowest on Day 5' is incorrect; the lowest AQI was on Day 1 at 150, not on Day 5.\n\nTherefore, the data supports the conclusion that the air quality was worst on Day 4.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Air Quality Index in City H",
        "xAxisLabel": "Day",
        "yAxisLabel": "AQI",
        "headers": [
          "Day",
          "AQI"
        ],
        "rows": [
          {
            "Day": "Day 1",
            "AQI": 150
          },
          {
            "Day": "Day 2",
            "AQI": 160
          },
          {
            "Day": "Day 3",
            "AQI": 160
          },
          {
            "Day": "Day 4",
            "AQI": 170
          },
          {
            "Day": "Day 5",
            "AQI": 155
          }
        ]
      }
    }
  },
  {
    "id": 1304,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below represents the percentage of renewable energy used in Country I over five years. This data reflects the nation's shift toward sustainable energy sources. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Renewable energy usage decreased every year.",
      "The highest percentage was achieved in the final year.",
      "There was no change in usage between the second and third year.",
      "The initial year had the highest renewable energy usage."
    ],
    "answer": "The highest percentage was achieved in the final year.",
    "explanation": "Analyzing the data:\n\n- Year 1: 20%\n- Year 2: 25%\n- Year 3: 30%\n- Year 4: 35%\n- Year 5: 40%\n\nThe highest renewable energy usage was in Year 5 at 40%, so 'The highest percentage was achieved in the final year.' is correct.\n\nOther options are incorrect based on the data provided.\n\nTherefore, 'The highest percentage was achieved in the final year.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Renewable Energy Usage in Country I",
        "xAxisLabel": "Year",
        "yAxisLabel": "Renewable Energy Usage (%)",
        "headers": [
          "Year",
          "Renewable Energy Usage (%)"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Renewable Energy Usage (%)": 20
          },
          {
            "Year": "Year 2",
            "Renewable Energy Usage (%)": 25
          },
          {
            "Year": "Year 3",
            "Renewable Energy Usage (%)": 30
          },
          {
            "Year": "Year 4",
            "Renewable Energy Usage (%)": 35
          },
          {
            "Year": "Year 5",
            "Renewable Energy Usage (%)": 40
          }
        ]
      }
    }
  },
  {
    "id": 1305,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below displays the annual crime rates per 1,000 residents in City J over five years. This data provides insights into public safety trends. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Crime rates decreased every year.",
      "The highest crime rate was in 2017.",
      "There was an increase in crime rates from 2016 to 2017.",
      "Crime rates remained constant from 2015 to 2016."
    ],
    "answer": "There was an increase in crime rates from 2016 to 2017.",
    "explanation": "Analyzing the data:\n\n- 2015: 25 crimes per 1,000 residents\n- 2016: 20 crimes per 1,000 residents\n- 2017: 22 crimes per 1,000 residents\n- 2018: 18 crimes per 1,000 residents\n- 2019: 15 crimes per 1,000 residents\n\nCrime rates decreased overall but increased from 20 in 2016 to 22 in 2017. Therefore, the statement 'There was an increase in crime rates from 2016 to 2017.' is correct.\n\nThe statement 'Crime rates decreased every year.' is incorrect; there was an increase from 2016 to 2017.\n\nThe statement 'The highest crime rate was in 2017.' is incorrect; the highest was in 2015 with 25 crimes per 1,000 residents.\n\nThe statement 'Crime rates remained constant from 2015 to 2016.' is incorrect; rates decreased from 25 to 20 crimes per 1,000 residents.\n\nTherefore, 'There was an increase in crime rates from 2016 to 2017.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Annual Crime Rates in City J",
        "xAxisLabel": "Year",
        "yAxisLabel": "Crimes per 1,000 Residents",
        "headers": [
          "Year",
          "Crimes per 1,000 Residents"
        ],
        "rows": [
          {
            "Year": 2015,
            "Crimes per 1,000 Residents": 25
          },
          {
            "Year": 2016,
            "Crimes per 1,000 Residents": 20
          },
          {
            "Year": 2017,
            "Crimes per 1,000 Residents": 22
          },
          {
            "Year": 2018,
            "Crimes per 1,000 Residents": 18
          },
          {
            "Year": 2019,
            "Crimes per 1,000 Residents": 15
          }
        ]
      }
    }
  },
  {
    "id": 1306,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the average yield of wheat per acre in Farm K over four seasons. This data reflects agricultural productivity. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Yield increased from Season 2 to Season 3.",
      "The highest yield was in Season 4.",
      "Yield decreased every season.",
      "Seasons 1 and 3 had the same yield."
    ],
    "answer": "Yield increased from Season 2 to Season 3.",
    "explanation": "Analyzing the data:\n\n- Season 1: 30 bushels per acre\n- Season 2: 28 bushels per acre\n- Season 3: 35 bushels per acre\n- Season 4: 32 bushels per acre\n\nYield increased from 28 in Season 2 to 35 in Season 3. Therefore, the statement 'Yield increased from Season 2 to Season 3.' is correct.\n\nThe statement 'The highest yield was in Season 4.' is incorrect; the highest yield was in Season 3 with 35 bushels per acre.\n\nThe statement 'Yield decreased every season.' is incorrect; yield increased from Season 2 to Season 3.\n\nThe statement 'Seasons 1 and 3 had the same yield.' is incorrect; Season 1 had 30, and Season 3 had 35 bushels per acre.\n\nTherefore, 'Yield increased from Season 2 to Season 3.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Wheat Yield per Acre in Farm K",
        "xAxisLabel": "Season",
        "yAxisLabel": "Yield (Bushels per Acre)",
        "headers": [
          "Season",
          "Yield (Bushels per Acre)"
        ],
        "rows": [
          {
            "Season": "Season 1",
            "Yield (Bushels per Acre)": 30
          },
          {
            "Season": "Season 2",
            "Yield (Bushels per Acre)": 28
          },
          {
            "Season": "Season 3",
            "Yield (Bushels per Acre)": 35
          },
          {
            "Season": "Season 4",
            "Yield (Bushels per Acre)": 32
          }
        ]
      }
    }
  },
  {
    "id": 1307,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the average ticket prices for a major sports event over five years. This data highlights economic aspects of the sports industry. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Ticket prices decreased in 2019 compared to 2018.",
      "Ticket prices remained constant from 2017 to 2018.",
      "Ticket prices increased every year.",
      "The highest ticket price was in 2016."
    ],
    "answer": "Ticket prices decreased in 2019 compared to 2018.",
    "explanation": "Analyzing the data:\n\n- 2015: $100\n- 2016: $110\n- 2017: $110\n- 2018: $120\n- 2019: $115\n\nTicket prices decreased from $120 in 2018 to $115 in 2019. Therefore, the statement 'Ticket prices decreased in 2019 compared to 2018.' is correct.\n\nThe statement 'Ticket prices remained constant from 2017 to 2018.' is incorrect; prices increased from $110 to $120.\n\nThe statement 'Ticket prices increased every year.' is incorrect; there was a decrease in 2019.\n\nThe statement 'The highest ticket price was in 2016.' is incorrect; the highest was in 2018 at $120.\n\nTherefore, 'Ticket prices decreased in 2019 compared to 2018.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Ticket Prices for Major Sports Event",
        "xAxisLabel": "Year",
        "yAxisLabel": "Ticket Price ($)",
        "headers": [
          "Year",
          "Ticket Price ($)"
        ],
        "rows": [
          {
            "Year": 2015,
            "Ticket Price ($)": 100
          },
          {
            "Year": 2016,
            "Ticket Price ($)": 110
          },
          {
            "Year": 2017,
            "Ticket Price ($)": 110
          },
          {
            "Year": 2018,
            "Ticket Price ($)": 120
          },
          {
            "Year": 2019,
            "Ticket Price ($)": 115
          }
        ]
      }
    }
  },
  {
    "id": 1308,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below represents the average daily stock price of Company L over five days. This data reflects short-term trends in the stock market. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "The stock price decreased from Day 3 to Day 4.",
      "The highest stock price was on Day 2.",
      "The stock price increased every day.",
      "Day 5 had the lowest stock price."
    ],
    "answer": "The stock price decreased from Day 3 to Day 4.",
    "explanation": "Analyzing the data:\n\n- Day 1: $50\n- Day 2: $52\n- Day 3: $55\n- Day 4: $53\n- Day 5: $56\n\nThe statement 'The stock price decreased from Day 3 to Day 4.' is correct because the price dropped from $55 to $53.\n\nThe statement 'The highest stock price was on Day 2.' is incorrect; the highest price was on Day 5 at $56.\n\nThe statement 'The stock price increased every day.' is incorrect; the stock price decreased from Day 3 to Day 4.\n\nThe statement 'Day 5 had the lowest stock price.' is incorrect; Day 5 had the highest stock price at $56, while the lowest was on Day 1 at $50.\n\nTherefore, the statement 'The stock price decreased from Day 3 to Day 4.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Average Daily Stock Price of Company L",
        "xAxisLabel": "Day",
        "yAxisLabel": "Stock Price ($)",
        "headers": [
          "Day",
          "Stock Price ($)"
        ],
        "rows": [
          {
            "Day": "Day 1",
            "Stock Price ($)": 50
          },
          {
            "Day": "Day 2",
            "Stock Price ($)": 52
          },
          {
            "Day": "Day 3",
            "Stock Price ($)": 55
          },
          {
            "Day": "Day 4",
            "Stock Price ($)": 53
          },
          {
            "Day": "Day 5",
            "Stock Price ($)": 56
          }
        ]
      }
    }
  },
  {
    "id": 1309,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below illustrates the population growth rate in Country M over five decades. This data provides demographic insights. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "The growth rate peaked in the 1990s and then declined.",
      "The growth rate was lowest in the 1980s.",
      "There was an increase in the growth rate after the 2000s.",
      "The growth rate remained constant from the 1970s to the 1980s."
    ],
    "answer": "The growth rate peaked in the 1990s and then declined.",
    "explanation": "Analyzing the data:\n\n- 1970s: 2.5%\n- 1980s: 3.0%\n- 1990s: 3.5%\n- 2000s: 3.0%\n- 2010s: 2.5%\n\nThe growth rate reached its highest point in the 1990s at 3.5% and then declined. Therefore, 'The growth rate peaked in the 1990s and then declined.' is correct.\n\nThe statement 'The growth rate was lowest in the 1980s.' is incorrect; it was lowest in the 1970s and 2010s at 2.5%.\n\nThe statement 'There was an increase in the growth rate after the 2000s.' is incorrect; the rate decreased after the 2000s.\n\nThe statement 'The growth rate remained constant from the 1970s to the 1980s.' is incorrect; it increased from 2.5% to 3.0%.\n\nTherefore, 'The growth rate peaked in the 1990s and then declined.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Population Growth Rate in Country M",
        "xAxisLabel": "Decade",
        "yAxisLabel": "Growth Rate (%)",
        "headers": [
          "Decade",
          "Growth Rate (%)"
        ],
        "rows": [
          {
            "Decade": "1970s",
            "Growth Rate (%)": 2.5
          },
          {
            "Decade": "1980s",
            "Growth Rate (%)": 3
          },
          {
            "Decade": "1990s",
            "Growth Rate (%)": 3.5
          },
          {
            "Decade": "2000s",
            "Growth Rate (%)": 3
          },
          {
            "Decade": "2010s",
            "Growth Rate (%)": 2.5
          }
        ]
      }
    }
  },
  {
    "id": 1310,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The chart below shows the literacy rates in Region N over four years. This data reflects educational development. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Literacy rates improved from 2016 to 2017.",
      "The highest literacy rate was in 2016.",
      "There was a decline in literacy rates from 2018 to 2019.",
      "Literacy rates remained constant throughout the years."
    ],
    "answer": "Literacy rates improved from 2016 to 2017.",
    "explanation": "Analyzing the data:\n\n- 2016: 85%\n- 2017: 88%\n- 2018: 88%\n- 2019: 90%\n\nLiteracy rates increased from 85% in 2016 to 88% in 2017. Therefore, 'Literacy rates improved from 2016 to 2017.' is correct.\n\nThe statement 'The highest literacy rate was in 2016.' is incorrect; the highest was in 2019 at 90%.\n\nThe statement 'There was a decline in literacy rates from 2018 to 2019.' is incorrect; rates increased from 88% to 90%.\n\nThe statement 'Literacy rates remained constant throughout the years.' is incorrect; there were increases over the years.\n\nTherefore, 'Literacy rates improved from 2016 to 2017.' is the most accurately supported by the data.",
    "chartData": {
      "type": "bar",
      "data": {
        "title": "Literacy Rates in Region N",
        "xAxisLabel": "Year",
        "yAxisLabel": "Literacy Rate (%)",
        "headers": [
          "Year",
          "Literacy Rate (%)"
        ],
        "rows": [
          {
            "Year": 2016,
            "Literacy Rate (%)": 85
          },
          {
            "Year": 2017,
            "Literacy Rate (%)": 88
          },
          {
            "Year": 2018,
            "Literacy Rate (%)": 88
          },
          {
            "Year": 2019,
            "Literacy Rate (%)": 90
          }
        ]
      }
    }
  },
  {
    "id": 1311,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart below illustrates the average monthly temperatures in Cities X and Y over a five-month period. Based on the information presented in the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "City X's temperature remained constant from January to May.",
      "City Y had higher temperatures than City X in every month.",
      "Both cities had the same average temperature in March.",
      "City Y's temperature decreased significantly in April."
    ],
    "answer": "Both cities had the same average temperature in March.",
    "explanation": "Analyzing the temperatures:\n\nCity X:\n- January: 5°C\n- February: 7°C\n- March: 10°C\n- April: 13°C\n- May: 15°C\n\nCity Y:\n- January: 8°C\n- February: 9°C\n- March: 10°C\n- April: 12°C\n- May: 14°C\n\nIn March, both City X and City Y had an average temperature of 10°C. Therefore, 'Both cities had the same average temperature in March.' is the most accurately supported statement.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Average Monthly Temperatures in Cities X and Y",
        "xAxisLabel": "Month",
        "yAxisLabel": "Temperature (°C)",
        "headers": [
          "Month",
          "City X",
          "City Y"
        ],
        "rows": [
          {
            "Month": "January",
            "City X": 5,
            "City Y": 8
          },
          {
            "Month": "February",
            "City X": 7,
            "City Y": 9
          },
          {
            "Month": "March",
            "City X": 10,
            "City Y": 10
          },
          {
            "Month": "April",
            "City X": 13,
            "City Y": 12
          },
          {
            "Month": "May",
            "City X": 15,
            "City Y": 14
          }
        ]
      }
    }
  },
  {
    "id": 1312,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart shows the sales trends of Products A, B, and C over four quarters in a fiscal year. Based on the data presented, which statement is most accurately supported?",
    "options": [
      "Product A's sales increased in every quarter.",
      "Product B's sales overtook Product C's sales in Quarter 3.",
      "Product C had the highest sales in Quarter 4.",
      "Product B showed consistent sales throughout the year."
    ],
    "answer": "Product B's sales overtook Product C's sales in Quarter 3.",
    "explanation": "Analyzing sales trends:\n\nProduct B's sales surpassed Product C in Quarter 3:\n\nProduct B:\n- Q1: $20k\n- Q2: $25k\n- Q3: $30k\n- Q4: $35k\n\nProduct C:\n- Q1: $30k\n- Q2: $32k\n- Q3: $29k\n- Q4: $31k\n\nIn Quarter 3, Product B's sales ($30k) overtook Product C's sales ($29k). Therefore, 'Product B's sales overtook Product C's sales in Quarter 3.' is the correct statement.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Sales Trends of Products A, B, and C",
        "xAxisLabel": "Quarter",
        "yAxisLabel": "Sales (in thousands of dollars)",
        "headers": [
          "Quarter",
          "Product A",
          "Product B",
          "Product C"
        ],
        "rows": [
          {
            "Quarter": "Q1",
            "Product A": 40,
            "Product B": 20,
            "Product C": 30
          },
          {
            "Quarter": "Q2",
            "Product A": 35,
            "Product B": 25,
            "Product C": 32
          },
          {
            "Quarter": "Q3",
            "Product A": 30,
            "Product B": 30,
            "Product C": 29
          },
          {
            "Quarter": "Q4",
            "Product A": 25,
            "Product B": 35,
            "Product C": 31
          }
        ]
      }
    }
  },
  {
    "id": 1313,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart depicts the number of visitors to Beaches P and Q over four consecutive summers. Based on the chart, which statement is most accurately supported by the data?",
    "options": [
      "Beach P had fewer visitors each year compared to Beach Q.",
      "Beach Q saw a sharp increase in visitors between Year 2 and Year 3.",
      "The number of visitors to Beach P decreased every year.",
      "Both beaches had the same number of visitors in Year 4."
    ],
    "answer": "Beach Q saw a sharp increase in visitors between Year 2 and Year 3.",
    "explanation": "Analyzing the visitor numbers:\n\nBeach Q:\n- Year 1: 5,000\n- Year 2: 5,500\n- Year 3: 8,000\n- Year 4: 8,500\n\nBetween Year 2 and Year 3, visitors to Beach Q increased from 5,500 to 8,000, a significant increase. Therefore, 'Beach Q saw a sharp increase in visitors between Year 2 and Year 3.' is the correct statement.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Number of Visitors to Beaches P and Q",
        "xAxisLabel": "Year",
        "yAxisLabel": "Number of Visitors",
        "headers": [
          "Year",
          "Beach P",
          "Beach Q"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Beach P": 7000,
            "Beach Q": 5000
          },
          {
            "Year": "Year 2",
            "Beach P": 7500,
            "Beach Q": 5500
          },
          {
            "Year": "Year 3",
            "Beach P": 7800,
            "Beach Q": 8000
          },
          {
            "Year": "Year 4",
            "Beach P": 8000,
            "Beach Q": 8500
          }
        ]
      }
    }
  },
  {
    "id": 1314,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart shows the unemployment rates in Countries U and V over five years. Based on the information, which of the following statements is most accurately supported?",
    "options": [
      "Country U's unemployment rate was higher than Country V's in all years.",
      "Country V experienced a continuous decrease in unemployment over the period.",
      "Both countries had the same unemployment rate in the final year.",
      "Country U saw a significant increase in unemployment in Year 3."
    ],
    "answer": "Country U saw a significant increase in unemployment in Year 3.",
    "explanation": "Analyzing unemployment rates:\n\nCountry U's unemployment rate rose sharply in Year 3:\n\nCountry U:\n- Year 1: 5%\n- Year 2: 5%\n- Year 3: 8%\n- Year 4: 7%\n- Year 5: 6%\n\nBetween Year 2 and Year 3, the rate increased from 5% to 8%. Therefore, 'Country U saw a significant increase in unemployment in Year 3.' is the correct statement.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Unemployment Rates in Countries U and V",
        "xAxisLabel": "Year",
        "yAxisLabel": "Unemployment Rate (%)",
        "headers": [
          "Year",
          "Country U",
          "Country V"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Country U": 5,
            "Country V": 6
          },
          {
            "Year": "Year 2",
            "Country U": 5,
            "Country V": 5.5
          },
          {
            "Year": "Year 3",
            "Country U": 8,
            "Country V": 5
          },
          {
            "Year": "Year 4",
            "Country U": 7,
            "Country V": 4.5
          },
          {
            "Year": "Year 5",
            "Country U": 6,
            "Country V": 4
          }
        ]
      }
    }
  },
  {
    "id": 1315,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart illustrates the population growth of Species X and Species Y in a conservation area over six months. Based on the chart, which statement is most accurately supported by the data?",
    "options": [
      "Species X's population increased steadily over the six months.",
      "Species Y's population surpassed Species X's population in Month 4.",
      "Both species had identical populations in Month 6.",
      "Species Y experienced no growth during the period."
    ],
    "answer": "Species Y's population surpassed Species X's population in Month 4.",
    "explanation": "Analyzing the populations:\n\nSpecies X:\n- Month 1: 100\n- Month 2: 90\n- Month 3: 85\n- Month 4: 80\n- Month 5: 78\n- Month 6: 75\n\nSpecies Y:\n- Month 1: 50\n- Month 2: 60\n- Month 3: 70\n- Month 4: 85\n- Month 5: 90\n- Month 6: 95\n\nIn Month 4, Species Y's population (85) surpassed Species X's population (80). Therefore, 'Species Y's population surpassed Species X's population in Month 4.' is the correct statement.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Population Growth of Species X and Y",
        "xAxisLabel": "Month",
        "yAxisLabel": "Population",
        "headers": [
          "Month",
          "Species X",
          "Species Y"
        ],
        "rows": [
          {
            "Month": "1",
            "Species X": 100,
            "Species Y": 50
          },
          {
            "Month": "2",
            "Species X": 90,
            "Species Y": 60
          },
          {
            "Month": "3",
            "Species X": 85,
            "Species Y": 70
          },
          {
            "Month": "4",
            "Species X": 80,
            "Species Y": 85
          },
          {
            "Month": "5",
            "Species X": 78,
            "Species Y": 90
          },
          {
            "Month": "6",
            "Species X": 75,
            "Species Y": 95
          }
        ]
      }
    }
  },
  {
    "id": 1316,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart shows the cumulative rainfall in Regions D, E, and F over four months. Based on the information, which statement is most accurately supported?",
    "options": [
      "Region D had the lowest rainfall in every month.",
      "Region F experienced the greatest overall increase in rainfall from Month 1 to Month 4.",
      "Region E's rainfall decreased between Month 2 and Month 3.",
      "All regions had the same amount of rainfall in Month 2."
    ],
    "answer": "Region F experienced the greatest overall increase in rainfall from Month 1 to Month 4.",
    "explanation": "Analyzing rainfall data:\n\nRegion F's rainfall increased significantly:\n\nRegion F:\n- Month 1: 20mm\n- Month 2: 40mm\n- Month 3: 70mm\n- Month 4: 100mm\n\nThe total increase is 80mm. Other regions had smaller overall increases. Therefore, 'Region F experienced the greatest overall increase in rainfall from Month 1 to Month 4.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Cumulative Rainfall in Regions D, E, and F",
        "xAxisLabel": "Month",
        "yAxisLabel": "Rainfall (mm)",
        "headers": [
          "Month",
          "Region D",
          "Region E",
          "Region F"
        ],
        "rows": [
          {
            "Month": "1",
            "Region D": 50,
            "Region E": 30,
            "Region F": 20
          },
          {
            "Month": "2",
            "Region D": 60,
            "Region E": 40,
            "Region F": 40
          },
          {
            "Month": "3",
            "Region D": 70,
            "Region E": 50,
            "Region F": 70
          },
          {
            "Month": "4",
            "Region D": 80,
            "Region E": 65,
            "Region F": 100
          }
        ]
      }
    }
  },
  {
    "id": 1317,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart depicts the percentage of households with internet access in Countries G and H over five years. Based on the chart, which of the following statements is most accurately supported?",
    "options": [
      "Country G achieved 100% internet access by Year 5.",
      "Country H's internet access percentage remained unchanged over the period.",
      "Both countries had identical internet access percentages in Year 3.",
      "Country H's internet access percentage decreased in Year 4."
    ],
    "answer": "Both countries had identical internet access percentages in Year 3.",
    "explanation": "Analyzing the data:\n\nCountry G and Country H both had 70% internet access in Year 3.\n\nCountry G:\n- Year 1: 60%\n- Year 2: 65%\n- Year 3: 70%\n- Year 4: 80%\n- Year 5: 90%\n\nCountry H:\n- Year 1: 50%\n- Year 2: 60%\n- Year 3: 70%\n- Year 4: 75%\n- Year 5: 80%\n\nTherefore, 'Both countries had identical internet access percentages in Year 3.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Households with Internet Access in Countries G and H",
        "xAxisLabel": "Year",
        "yAxisLabel": "Internet Access (%)",
        "headers": [
          "Year",
          "Country G",
          "Country H"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Country G": 60,
            "Country H": 50
          },
          {
            "Year": "Year 2",
            "Country G": 65,
            "Country H": 60
          },
          {
            "Year": "Year 3",
            "Country G": 70,
            "Country H": 70
          },
          {
            "Year": "Year 4",
            "Country G": 80,
            "Country H": 75
          },
          {
            "Year": "Year 5",
            "Country G": 90,
            "Country H": 80
          }
        ]
      }
    }
  },
  {
    "id": 1318,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart illustrates the average daily air pollution levels (in AQI) in Cities R, S, and T over a week. Based on the data, which statement is most accurately supported?",
    "options": [
      "City R had the lowest pollution level on Day 4.",
      "City S's pollution levels increased every day.",
      "City T experienced a significant increase in pollution on Day 5.",
      "All three cities had the same pollution level on Day 7."
    ],
    "answer": "City T experienced a significant increase in pollution on Day 5.",
    "explanation": "Analyzing pollution levels for City T:\n\n- Day 1: AQI 50\n- Day 2: 55\n- Day 3: 60\n- Day 4: 65\n- Day 5: 90\n- Day 6: 92\n- Day 7: 95\n\nOn Day 5, the AQI jumped from 65 to 90, indicating a significant increase. Therefore, 'City T experienced a significant increase in pollution on Day 5.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Average Daily Air Pollution Levels in Cities R, S, and T",
        "xAxisLabel": "Day",
        "yAxisLabel": "Air Quality Index (AQI)",
        "headers": [
          "Day",
          "City R",
          "City S",
          "City T"
        ],
        "rows": [
          {
            "Day": "1",
            "City R": 80,
            "City S": 70,
            "City T": 50
          },
          {
            "Day": "2",
            "City R": 78,
            "City S": 68,
            "City T": 55
          },
          {
            "Day": "3",
            "City R": 76,
            "City S": 66,
            "City T": 60
          },
          {
            "Day": "4",
            "City R": 74,
            "City S": 64,
            "City T": 65
          },
          {
            "Day": "5",
            "City R": 73,
            "City S": 62,
            "City T": 90
          },
          {
            "Day": "6",
            "City R": 72,
            "City S": 60,
            "City T": 92
          },
          {
            "Day": "7",
            "City R": 70,
            "City S": 58,
            "City T": 95
          }
        ]
      }
    }
  },
  {
    "id": 1319,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart shows the graduation rates of High Schools J and K over four academic years. Based on the chart, which statement is most accurately supported?",
    "options": [
      "High School J's graduation rate increased every year.",
      "High School K surpassed High School J's graduation rate in Year 3.",
      "Both schools had the same graduation rate in Year 4.",
      "High School K's graduation rate remained constant throughout the period."
    ],
    "answer": "High School K surpassed High School J's graduation rate in Year 3.",
    "explanation": "Analyzing graduation rates:\n\nHigh School J:\n- Year 1: 90%\n- Year 2: 88%\n- Year 3: 85%\n- Year 4: 83%\n\nHigh School K:\n- Year 1: 80%\n- Year 2: 85%\n- Year 3: 87%\n- Year 4: 89%\n\nIn Year 3, High School K's rate (87%) surpassed High School J's rate (85%). Therefore, 'High School K surpassed High School J's graduation rate in Year 3.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Graduation Rates of High Schools J and K",
        "xAxisLabel": "Academic Year",
        "yAxisLabel": "Graduation Rate (%)",
        "headers": [
          "Year",
          "High School J",
          "High School K"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "High School J": 90,
            "High School K": 80
          },
          {
            "Year": "Year 2",
            "High School J": 88,
            "High School K": 85
          },
          {
            "Year": "Year 3",
            "High School J": 85,
            "High School K": 87
          },
          {
            "Year": "Year 4",
            "High School J": 83,
            "High School K": 89
          }
        ]
      }
    }
  },
  {
    "id": 1320,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart illustrates the daily sales (in units) of Stores L and M over a five-day promotional period. Based on the chart, which of the following statements is most accurately supported?",
    "options": [
      "Store L's sales increased steadily throughout the promotion.",
      "Store M had the highest sales on Day 3.",
      "Both stores sold the same number of units on Day 5.",
      "Store M's sales decreased by the same amount each day."
    ],
    "answer": "Both stores sold the same number of units on Day 5.",
    "explanation": "Analyzing daily sales:\n\nStore L and Store M both sold 150 units on Day 5.\n\nStore L:\n- Day 1: 200 units\n- Day 2: 180\n- Day 3: 170\n- Day 4: 160\n- Day 5: 150\n\nStore M:\n- Day 1: 120 units\n- Day 2: 130\n- Day 3: 140\n- Day 4: 145\n- Day 5: 150\n\nTherefore, 'Both stores sold the same number of units on Day 5.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Daily Sales of Stores L and M During Promotion",
        "xAxisLabel": "Day",
        "yAxisLabel": "Units Sold",
        "headers": [
          "Day",
          "Store L",
          "Store M"
        ],
        "rows": [
          {
            "Day": "1",
            "Store L": 200,
            "Store M": 120
          },
          {
            "Day": "2",
            "Store L": 180,
            "Store M": 130
          },
          {
            "Day": "3",
            "Store L": 170,
            "Store M": 140
          },
          {
            "Day": "4",
            "Store L": 160,
            "Store M": 145
          },
          {
            "Day": "5",
            "Store L": 150,
            "Store M": 150
          }
        ]
      }
    }
  },
  {
    "id": 1321,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart presents the cholesterol levels of Patients A, B, and C over six months of treatment. Based on the information, which statement is most accurately supported?",
    "options": [
      "Patient A's cholesterol levels decreased steadily throughout the treatment.",
      "Patient B's cholesterol levels dropped below Patient C's levels in Month 4.",
      "All patients achieved the target cholesterol level of 180 mg/dL by Month 6.",
      "Patient C had the highest cholesterol levels in every month."
    ],
    "answer": "Patient B's cholesterol levels dropped below Patient C's levels in Month 4.",
    "explanation": "Analyzing cholesterol levels:\n\nPatient B:\n- Month 1: 220 mg/dL\n- Month 2: 210\n- Month 3: 200\n- Month 4: 190\n- Month 5: 185\n- Month 6: 180\n\nPatient C:\n- Month 1: 215 mg/dL\n- Month 2: 212\n- Month 3: 208\n- Month 4: 192\n- Month 5: 190\n- Month 6: 188\n\nIn Month 4, Patient B's level (190) dropped below Patient C's level (192). Therefore, 'Patient B's cholesterol levels dropped below Patient C's levels in Month 4.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Cholesterol Levels of Patients A, B, and C",
        "xAxisLabel": "Month",
        "yAxisLabel": "Cholesterol Level (mg/dL)",
        "headers": [
          "Month",
          "Patient A",
          "Patient B",
          "Patient C"
        ],
        "rows": [
          {
            "Month": "1",
            "Patient A": 200,
            "Patient B": 220,
            "Patient C": 215
          },
          {
            "Month": "2",
            "Patient A": 200,
            "Patient B": 210,
            "Patient C": 212
          },
          {
            "Month": "3",
            "Patient A": 200,
            "Patient B": 200,
            "Patient C": 208
          },
          {
            "Month": "4",
            "Patient A": 200,
            "Patient B": 190,
            "Patient C": 192
          },
          {
            "Month": "5",
            "Patient A": 200,
            "Patient B": 185,
            "Patient C": 190
          },
          {
            "Month": "6",
            "Patient A": 200,
            "Patient B": 180,
            "Patient C": 188
          }
        ]
      }
    }
  },
  {
    "id": 1322,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart depicts the average daily water consumption (in liters) per household in Towns A and B over five days during a summer week. Based on the chart, which of the following statements is most accurately supported by the data?",
    "options": [
      "Town A's water consumption decreased every day.",
      "Town B had higher water consumption than Town A on Day 3.",
      "Both towns had the same water consumption on Day 5.",
      "Town B's water consumption remained constant throughout the period."
    ],
    "answer": "Town B had higher water consumption than Town A on Day 3.",
    "explanation": "Analyzing the data:\n\nTown A:\n- Day 1: 200 liters\n- Day 2: 220 liters\n- Day 3: 210 liters\n- Day 4: 230 liters\n- Day 5: 240 liters\n\nTown B:\n- Day 1: 180 liters\n- Day 2: 200 liters\n- Day 3: 220 liters\n- Day 4: 215 liters\n- Day 5: 230 liters\n\nOn Day 3, Town B's consumption (220 liters) was higher than Town A's (210 liters). Therefore, 'Town B had higher water consumption than Town A on Day 3.' is the correct statement.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Average Daily Water Consumption per Household in Towns A and B",
        "xAxisLabel": "Day",
        "yAxisLabel": "Water Consumption (liters)",
        "headers": [
          "Day",
          "Town A",
          "Town B"
        ],
        "rows": [
          {
            "Day": "1",
            "Town A": 200,
            "Town B": 180
          },
          {
            "Day": "2",
            "Town A": 220,
            "Town B": 200
          },
          {
            "Day": "3",
            "Town A": 210,
            "Town B": 220
          },
          {
            "Day": "4",
            "Town A": 230,
            "Town B": 215
          },
          {
            "Day": "5",
            "Town A": 240,
            "Town B": 230
          }
        ]
      }
    }
  },
  {
    "id": 1323,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart illustrates the production output (in units) of Factories X, Y, and Z over four quarters. Based on the information, which statement is most accurately supported?",
    "options": [
      "Factory X's production decreased in each consecutive quarter.",
      "Factory Y had the highest production output in Quarter 2.",
      "Factory Z's production remained the same throughout the year.",
      "Factories X and Y had the same production output in Quarter 4."
    ],
    "answer": "Factories X and Y had the same production output in Quarter 4.",
    "explanation": "Analyzing the data:\n\nFactory X:\n- Q1: 500 units\n- Q2: 550 units\n- Q3: 600 units\n- Q4: 650 units\n\nFactory Y:\n- Q1: 600 units\n- Q2: 580 units\n- Q3: 570 units\n- Q4: 650 units\n\nIn Quarter 4, both Factory X and Factory Y produced 650 units. Therefore, 'Factories X and Y had the same production output in Quarter 4.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Production Output of Factories X, Y, and Z",
        "xAxisLabel": "Quarter",
        "yAxisLabel": "Production Output (units)",
        "headers": [
          "Quarter",
          "Factory X",
          "Factory Y",
          "Factory Z"
        ],
        "rows": [
          {
            "Quarter": "Q1",
            "Factory X": 500,
            "Factory Y": 600,
            "Factory Z": 550
          },
          {
            "Quarter": "Q2",
            "Factory X": 550,
            "Factory Y": 580,
            "Factory Z": 550
          },
          {
            "Quarter": "Q3",
            "Factory X": 600,
            "Factory Y": 570,
            "Factory Z": 550
          },
          {
            "Quarter": "Q4",
            "Factory X": 650,
            "Factory Y": 650,
            "Factory Z": 550
          }
        ]
      }
    }
  },
  {
    "id": 1324,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart shows the number of books borrowed from Libraries M and N over six months. Based on the chart, which of the following statements is most accurately supported?",
    "options": [
      "Library M had more books borrowed than Library N in every month.",
      "Library N saw a significant increase in books borrowed between February and March.",
      "Both libraries had the same number of books borrowed in May.",
      "The number of books borrowed from Library N decreased every month."
    ],
    "answer": "Library N saw a significant increase in books borrowed between February and March.",
    "explanation": "Analyzing the data:\n\nLibrary N:\n- January: 800 books\n- February: 900 books\n- March: 1,500 books\n- April: 1,400 books\n- May: 1,300 books\n- June: 1,200 books\n\nBetween February (900) and March (1,500), Library N experienced a significant increase of 600 books. Therefore, 'Library N saw a significant increase in books borrowed between February and March.' is the correct statement.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Number of Books Borrowed from Libraries M and N",
        "xAxisLabel": "Month",
        "yAxisLabel": "Number of Books",
        "headers": [
          "Month",
          "Library M",
          "Library N"
        ],
        "rows": [
          {
            "Month": "January",
            "Library M": 1000,
            "Library N": 800
          },
          {
            "Month": "February",
            "Library M": 1200,
            "Library N": 900
          },
          {
            "Month": "March",
            "Library M": 1800,
            "Library N": 1500
          },
          {
            "Month": "April",
            "Library M": 1700,
            "Library N": 1400
          },
          {
            "Month": "May",
            "Library M": 1600,
            "Library N": 1300
          },
          {
            "Month": "June",
            "Library M": 1600,
            "Library N": 1200
          }
        ]
      }
    }
  },
  {
    "id": 1325,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart illustrates the exchange rates of Currencies A and B against the US Dollar over five months. Based on the data, which statement is most accurately supported?",
    "options": [
      "Currency A strengthened against the US Dollar every month.",
      "Currency B had a higher exchange rate than Currency A in all months.",
      "Both currencies had the same exchange rate in Month 3.",
      "Currency B's exchange rate remained constant between Months 4 and 5."
    ],
    "answer": "Both currencies had the same exchange rate in Month 3.",
    "explanation": "Analyzing the exchange rates:\n\nCurrency A:\n- Month 1: 1.5\n- Month 2: 1.6\n- Month 3: 1.7\n- Month 4: 1.8\n- Month 5: 1.8\n\nCurrency B:\n- Month 1: 1.8\n- Month 2: 1.7\n- Month 3: 1.7\n- Month 4: 1.7\n- Month 5: 1.6\n\nIn Month 3, both currencies had an exchange rate of 1.7 units per USD. Therefore, 'Both currencies had the same exchange rate in Month 3.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Exchange Rates of Currencies A and B against the US Dollar",
        "xAxisLabel": "Month",
        "yAxisLabel": "Units per USD",
        "headers": [
          "Month",
          "Currency A",
          "Currency B"
        ],
        "rows": [
          {
            "Month": "1",
            "Currency A": 1.5,
            "Currency B": 1.8
          },
          {
            "Month": "2",
            "Currency A": 1.6,
            "Currency B": 1.7
          },
          {
            "Month": "3",
            "Currency A": 1.7,
            "Currency B": 1.7
          },
          {
            "Month": "4",
            "Currency A": 1.8,
            "Currency B": 1.7
          },
          {
            "Month": "5",
            "Currency A": 1.8,
            "Currency B": 1.6
          }
        ]
      }
    }
  },
  {
    "id": 1326,
    "type": "chartsquestion",
    "question": "The line chart shows the percentage of electric cars sold by Companies D and E over four years. Based on the information, which of the following statements is most accurately supported?",
    "options": [
      "Company D sold a higher percentage of electric cars than Company E in every year.",
      "Company E's percentage of electric cars sold decreased between Year 2 and Year 3.",
      "Both companies sold the same percentage of electric cars in Year 4.",
      "Company E's percentage of electric cars sold increased by 50% from Year 1 to Year 2."
    ],
    "answer": "Both companies sold the same percentage of electric cars in Year 4.",
    "explanation": "Analyzing the data:\n\nCompany D's percentages:\n- Year 1: 10%\n- Year 2: 15%\n- Year 3: 20%\n- Year 4: 25%\n\nCompany E's percentages:\n- Year 1: 5%\n- Year 2: 10%\n- Year 3: 18%\n- Year 4: 25%\n\nOption Analysis:\n\n1. Company D sold a higher percentage of electric cars than Company E in every year.\n   - Incorrect. In Year 4, both companies sold the same percentage (25%), so Company D did not sell a higher percentage in every year.\n\n2. Company E's percentage of electric cars sold decreased between Year 2 and Year 3.\n   - Incorrect. Company E's percentage increased from 10% in Year 2 to 18% in Year 3.\n\n3. Both companies sold the same percentage of electric cars in Year 4.\n   - Correct. In Year 4, both Company D and Company E sold 25% electric cars.\n\n4. Company E's percentage of electric cars sold increased by 50% from Year 1 to Year 2.\n   - Incorrect. It increased from 5% to 10%, which is a 100% increase, not 50%.\n\nTherefore, the most accurately supported statement is Option 3: 'Both companies sold the same percentage of electric cars in Year 4.'",
    "quiztype": "rwcomprehension",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Percentage of Electric Cars Sold by Companies D and E",
        "xAxisLabel": "Year",
        "yAxisLabel": "Electric Cars Sold (%)",
        "headers": [
          "Year",
          "Company D",
          "Company E"
        ],
        "rows": [
          {
            "Year": "Year 1",
            "Company D": 10,
            "Company E": 5
          },
          {
            "Year": "Year 2",
            "Company D": 15,
            "Company E": 10
          },
          {
            "Year": "Year 3",
            "Company D": 20,
            "Company E": 18
          },
          {
            "Year": "Year 4",
            "Company D": 25,
            "Company E": 25
          }
        ]
      }
    }
  },
  {
    "id": 1327,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart depicts the number of online course enrollments at Universities E and F during four semesters. Based on the chart, which statement is most accurately supported?",
    "options": [
      "University E had more enrollments than University F in every semester.",
      "University F's enrollments decreased between Semester 3 and Semester 4.",
      "Both universities had the same number of enrollments in Semester 2.",
      "University F had the highest number of enrollments in Semester 4."
    ],
    "answer": "Both universities had the same number of enrollments in Semester 2.",
    "explanation": "Analyzing the data:\n\nUniversity E:\n- Semester 1: 2,000\n- Semester 2: 2,500\n- Semester 3: 3,000\n- Semester 4: 3,500\n\nUniversity F:\n- Semester 1: 1,800\n- Semester 2: 2,500\n- Semester 3: 3,200\n- Semester 4: 3,400\n\nIn Semester 2, both universities had 2,500 enrollments. Therefore, 'Both universities had the same number of enrollments in Semester 2.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Online Course Enrollments at Universities E and F",
        "xAxisLabel": "Semester",
        "yAxisLabel": "Number of Enrollments",
        "headers": [
          "Semester",
          "University E",
          "University F"
        ],
        "rows": [
          {
            "Semester": "1",
            "University E": 2000,
            "University F": 1800
          },
          {
            "Semester": "2",
            "University E": 2500,
            "University F": 2500
          },
          {
            "Semester": "3",
            "University E": 3000,
            "University F": 3200
          },
          {
            "Semester": "4",
            "University E": 3500,
            "University F": 3400
          }
        ]
      }
    }
  },
  {
    "id": 1328,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart illustrates the number of smartphone users in Regions K and L over three years. Based on the data, which of the following statements is most accurately supported?",
    "options": [
      "Region K had more smartphone users than Region L in every year.",
      "The number of smartphone users in Region L doubled from Year 1 to Year 3.",
      "Both regions had the same number of smartphone users in Year 2.",
      "Region L's number of smartphone users decreased between Year 2 and Year 3."
    ],
    "answer": "The number of smartphone users in Region L doubled from Year 1 to Year 3.",
    "explanation": "Analyzing the data for Region L:\n\n- Year 1: 500,000 users\n- Year 2: 800,000\n- Year 3: 1,000,000\n\nFrom Year 1 to Year 3, the number of users increased from 500,000 to 1,000,000, which is a doubling. Therefore, 'The number of smartphone users in Region L doubled from Year 1 to Year 3.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Number of Smartphone Users in Regions K and L",
        "xAxisLabel": "Year",
        "yAxisLabel": "Number of Users",
        "headers": [
          "Year",
          "Region K",
          "Region L"
        ],
        "rows": [
          {
            "Year": "1",
            "Region K": 800000,
            "Region L": 500000
          },
          {
            "Year": "2",
            "Region K": 900000,
            "Region L": 800000
          },
          {
            "Year": "3",
            "Region K": 950000,
            "Region L": 1000000
          }
        ]
      }
    }
  },
  {
    "id": 1329,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart presents the quarterly profits (in million USD) of Companies F and G over one fiscal year. Based on the information, which statement is most accurately supported?",
    "options": [
      "Company G had higher profits than Company F in every quarter.",
      "Company F's profits surpassed Company G's profits in Quarter 2.",
      "Both companies had identical profits in Quarter 4.",
      "Company G's profits decreased steadily throughout the year."
    ],
    "answer": "Company F's profits surpassed Company G's profits in Quarter 2.",
    "explanation": "Analyzing the data:\n\nCompany F:\n- Quarter 1: $5 million\n- Quarter 2: $15 million\n- Quarter 3: $14 million\n- Quarter 4: $10 million\n\nCompany G:\n- Quarter 1: $10 million\n- Quarter 2: $12 million\n- Quarter 3: $16 million\n- Quarter 4: $11 million\n\nIn Quarter 2, Company F's profit ($15 million) surpassed Company G's profit ($12 million). Therefore, 'Company F's profits surpassed Company G's profits in Quarter 2.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Quarterly Profits of Companies F and G",
        "xAxisLabel": "Quarter",
        "yAxisLabel": "Profit (million USD)",
        "headers": [
          "Quarter",
          "Company F",
          "Company G"
        ],
        "rows": [
          {
            "Quarter": "Q1",
            "Company F": 5,
            "Company G": 10
          },
          {
            "Quarter": "Q2",
            "Company F": 15,
            "Company G": 12
          },
          {
            "Quarter": "Q3",
            "Company F": 14,
            "Company G": 16
          },
          {
            "Quarter": "Q4",
            "Company F": 10,
            "Company G": 11
          }
        ]
      }
    }
  },
  {
    "id": 1330,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart shows the average internet speeds (in Mbps) in Countries P and Q over five years. Based on the data presented, which of the following statements is most accurately supported?",
    "options": [
      "Country P's internet speed was higher than Country Q's in every year.",
      "Country Q's average internet speed doubled from Year 2 to Year 5.",
      "Both countries had the same internet speed in Year 3.",
      "Country Q's internet speed decreased between Year 4 and Year 5."
    ],
    "answer": "Both countries had the same internet speed in Year 3.",
    "explanation": "Analyzing the data:\n\nCountry P:\n- Year 1: 25 Mbps\n- Year 2: 30 Mbps\n- Year 3: 35 Mbps\n- Year 4: 40 Mbps\n- Year 5: 50 Mbps\n\nCountry Q:\n- Year 1: 20 Mbps\n- Year 2: 28 Mbps\n- Year 3: 35 Mbps\n- Year 4: 42 Mbps\n- Year 5: 48 Mbps\n\nIn Year 3, both countries had an average internet speed of 35 Mbps. Therefore, 'Both countries had the same internet speed in Year 3.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Average Internet Speeds in Countries P and Q",
        "xAxisLabel": "Year",
        "yAxisLabel": "Internet Speed (Mbps)",
        "headers": [
          "Year",
          "Country P",
          "Country Q"
        ],
        "rows": [
          {
            "Year": "1",
            "Country P": 25,
            "Country Q": 20
          },
          {
            "Year": "2",
            "Country P": 30,
            "Country Q": 28
          },
          {
            "Year": "3",
            "Country P": 35,
            "Country Q": 35
          },
          {
            "Year": "4",
            "Country P": 40,
            "Country Q": 42
          },
          {
            "Year": "5",
            "Country P": 50,
            "Country Q": 48
          }
        ]
      }
    }
  },
  {
    "id": 1331,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart illustrates the percentage of renewable energy usage in Sectors G, H, and I over three years. Based on the chart, which statement is most accurately supported?",
    "options": [
      "Sector G's renewable energy usage decreased between Year 2 and Year 3.",
      "Sector H had the lowest renewable energy usage in every year.",
      "All sectors had the same renewable energy usage percentage in Year 1.",
      "Sector I showed the greatest increase in renewable energy usage over the period."
    ],
    "answer": "Sector I showed the greatest increase in renewable energy usage over the period.",
    "explanation": "Analyzing the data:\n\nSector I's Renewable Energy Usage (%):\n- Year 1: 20%\n- Year 2: 35%\n- Year 3: 50%\n\nSector I's usage increased by 30 percentage points over three years, which is the greatest increase among the sectors. Therefore, 'Sector I showed the greatest increase in renewable energy usage over the period.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Percentage of Renewable Energy Usage in Sectors G, H, and I",
        "xAxisLabel": "Year",
        "yAxisLabel": "Renewable Energy Usage (%)",
        "headers": [
          "Year",
          "Sector G",
          "Sector H",
          "Sector I"
        ],
        "rows": [
          {
            "Year": "1",
            "Sector G": 40,
            "Sector H": 25,
            "Sector I": 20
          },
          {
            "Year": "2",
            "Sector G": 45,
            "Sector H": 30,
            "Sector I": 35
          },
          {
            "Year": "3",
            "Sector G": 50,
            "Sector H": 35,
            "Sector I": 50
          }
        ]
      }
    }
  },
  {
    "id": 1332,
    "type": "chartsquestion",
    "quiztype": "rwcomprehension",
    "question": "The line chart depicts the average scores of Students Group J and Group K in a standardized test over four semesters. Based on the data, which statement is most accurately supported?",
    "options": [
      "Group J's average score decreased every semester.",
      "Group K outperformed Group J in Semester 4.",
      "Both groups had the same average score in Semester 2.",
      "Group K's average score remained unchanged throughout the period."
    ],
    "answer": "Group K outperformed Group J in Semester 4.",
    "explanation": "Analyzing the data:\n\nGroup J's Average Scores:\n- Semester 1: 85\n- Semester 2: 88\n- Semester 3: 90\n- Semester 4: 89\n\nGroup K's Average Scores:\n- Semester 1: 80\n- Semester 2: 85\n- Semester 3: 88\n- Semester 4: 90\n\nIn Semester 4, Group K's score (90) was higher than Group J's score (89). Therefore, 'Group K outperformed Group J in Semester 4.' is correct.",
    "chartData": {
      "type": "line",
      "data": {
        "title": "Average Standardized Test Scores of Student Groups J and K",
        "xAxisLabel": "Semester",
        "yAxisLabel": "Average Score",
        "headers": [
          "Semester",
          "Group J",
          "Group K"
        ],
        "rows": [
          {
            "Semester": "1",
            "Group J": 85,
            "Group K": 80
          },
          {
            "Semester": "2",
            "Group J": 88,
            "Group K": 85
          },
          {
            "Semester": "3",
            "Group J": 90,
            "Group K": 88
          },
          {
            "Semester": "4",
            "Group J": 89,
            "Group K": 90
          }
        ]
      }
    }
  },
  {
    "id": 1333,
    "type": "vocabularyquestion",
    "question": "The chemist observed the salt crystals becoming moist and eventually dissolving into a liquid solution as they absorbed water from the air, demonstrating the process of __________. This characteristic is important to consider when storing hygroscopic substances that are sensitive to humidity.",
    "options": [
      "sublimation",
      "efflorescence",
      "deliquescence",
      "crystallization"
    ],
    "answer": "deliquescence",
    "explanation": "Deliquescence is the correct answer, referring to the process by which a substance absorbs moisture from the atmosphere until it dissolves in the absorbed water and forms a solution. This matches the description of the salt crystals absorbing water and dissolving. Sublimation is the transition from solid to gas without passing through the liquid phase, efflorescence is the migration of a salt to the surface of a porous material where it forms a coating, and crystallization is the formation of solid crystals from a homogeneous solution, none of which accurately describe the observed phenomenon.",
    "quiztype": "rwcomprehension"
  },
  {
    "id": 1334,
    "type": "vocabularyquestion",
    "question": "After days of heavy rain, the river levels rose dangerously high. The town's residents were grateful for the strong __________ that protected their community from flooding. Thanks to this structure, the waters were held back, preventing what could have been a disastrous overflow.",
    "options": [
      "aqueduct",
      "levee",
      "canal",
      "floodplain"
    ],
    "answer": "levee",
    "explanation": "Levee is the correct answer, meaning an embankment built to prevent the overflow of a river. In the context of high river levels and the community being protected from flooding, a levee serves this specific purpose. An aqueduct is a structure designed to transport water from one location to another, a canal is a man-made waterway for navigation or irrigation, and a floodplain is a flat area of land near a river prone to flooding, none of which function as protective barriers against floods like a levee does.",
    "quiztype": "rwcomprehension"
  }