delen/vistext huggingface dataset:
Chart description: United Technologies had made the most profit out of all the 20 top arms producing and military service companies in the world. United Aircraft had made the least profit out of all the 20 top companies. United Technologies, Boeing and Lockheed Martin Corp. were the three top most profit making companies in 2016.

Chart data: company Profit in million U.S. dollars United Technologies Corp.(11) 5436 Lockheed Martin Corp.(1) 5302 Boeing(2) 4895 General Dynamics Corp.(6) 2955 BAE Systems(4) 2351 Northrop Grumman Corp.(5) 2200 Raytheon(3) 2174 Airbus Group(7) 1101 Thales(10) 1073 Textron (15) 843 L-3 Communications(8) 647 Huntington Ingalls Industries(12) 573 Leonardo (9) 561 Harris Corp.(18) 553 Booz Allen Hamilton(20) 252 Leidos (17) 246 United Aircraft Corp.(13) −67

Vega-Lite specification:
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Chart description: National debt to GDP ratio decreased from 2015 to 2019. It rose from 2019 to 2020 but has since shown a decrease with the lowest debt to GDP ratio in ten years being shown in 2025.

Chart data: Year National debt to GDP ratio 2025* 0.4924 2024* 0.5251 2023* 0.558 2022* 0.5923 2021* 0.6125 2020* 0.6368 2019 0.5733 2018 0.6292 2017 0.6741 2016 0.742 2015 0.7673

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/21192.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4c78a8"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "National debt to GDP ratio"}, "field": "National debt to GDP ratio"}}, "title": ["Ireland : National debt in relation to gross", "domestic product (GDP) from 2015 to 2025"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The general trend of average expenditure has increased between 2007 and 2019. There were steep reductions in expenditure in some of the years, which may coincide with times of high unemployment or recession which meant people had less money to spend.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 3.46 Dec 31, 2007 3.71 Dec 31, 2008 2.3 Dec 31, 2009 3.58 Dec 31, 2010 3.7 Dec 31, 2011 3.54 Dec 31, 2012 4.46 Dec 31, 2013 4.46 Dec 31, 2014 3.65 Dec 31, 2015 3.44 Dec 31, 2016 4.42 Dec 31, 2017 4.91 Dec 31, 2018 4.13

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#3e5c69"}, "line": {"stroke": "#3e5c69"}, "rect": {"fill": "#3e5c69"}, "bar": {"fill": "#3e5c69"}, "point": {"color": "#3e5c69"}, "axis": {"domainWidth": 0.5, "grid": true, "labelPadding": 2, "tickSize": 5, "tickWidth": 0.5, "titleFontWeight": "normal"}, "axisBand": {"grid": false}, "axisX": {"gridWidth": 0.2}, "axisY": {"gridDash": [3], "gridWidth": 0.4}, "legend": {"labelFontSize": 11, "padding": 1, "symbolType": "square"}, "range": {"category": ["#3e5c69", "#6793a6", "#182429", "#0570b0", "#3690c0", "#74a9cf", "#a6bddb", "#e2ddf2"]}}, "data": {"url": "data/21200.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Average annual expenditure in U.S. dollars"}, "field": "Average annual expenditure in U\\.S\\. dollars"}}, "title": ["Average annual expenditure on window air", "conditioners (owned home) per consumer unit", "in the United States from 2007 to 2019 (in", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Manchester is the British city with most car crime cases in the UK, counting 500 crimes per 1000 registered vehicles. The city with the second highest car crime rate is Bradford. London is the third city in the UK for car crimes. The national average is 125 car crimes per 1000 registered vehicles.

Chart data: Offences per 10,000 registered vehicles city 505 Manchester 457 Bradford 443 London 420 Leeds 389 Sheffield 318 Newcastle-upon-Tyne 313 Birmingham 287 Liverpool 285 Cardiff 255 Bristol 121 National average

Vega-Lite specification:
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Chart description: Highest GBP was in 2020. The lowest is predicted for 2025. According to the chart, GBP is going to be less and less every year since 2020.

Chart data: Ratio of government expenditure to GDP Year 0.292 2025* 0.2936 2024* 0.3009 2023* 0.3059 2022* 0.3281 2021* 0.3545 2020* 0.3186 2019 0.3472 2018 0.2932 2017 0.2999 2016 0.3128 2015

Vega-Lite specification:
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Chart description: The ratio peak was in 2020. It has remained close to 0.3 throughout the period.

Chart data: Ratio of government expenditure to GDP Year 0.292 2025* 0.2936 2024* 0.3009 2023* 0.3059 2022* 0.3281 2021* 0.3545 2020* 0.3186 2019 0.3472 2018 0.2932 2017 0.2999 2016 0.3128 2015

Vega-Lite specification:
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Chart description: The number of enterprises from highest in 2009 has dropped to lowest in 2014.

Chart data: Year Number of enterprises Dec 31, 2007 125 Dec 31, 2008 149 Dec 31, 2009 146 Dec 31, 2010 119 Dec 31, 2011 118 Dec 31, 2012 119 Dec 31, 2013 109 Dec 31, 2014 111 Dec 31, 2015 113 Dec 31, 2016 123

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/21212.tsv"}, "mark": "area", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of enterprises"}, "field": "Number of enterprises"}}, "title": ["Number of enterprises in the manufacture", "of electric domestic appliances industry", "in Poland from 2008 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The total square feet of selling space of the Kohl 's Corporation was almost stable between 2010 and 2019 at just over 80,000 in 1,000s.

Chart data: Year Total square feet of selling space in thousands Dec 31, 2009 80139 Dec 31, 2010 82226 Dec 31, 2011 83098 Dec 31, 2012 83671 Dec 31, 2013 83750 Dec 31, 2014 83810 Dec 31, 2015 82757 Dec 31, 2016 82804 Dec 31, 2017 82620 Dec 31, 2018 82192

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/21217.tsv"}, "mark": "area", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Total square feet of selling space in thousands"}, "field": "Total square feet of selling space in thousands"}}, "title": ["Total square feet of selling space of the", "Kohl 's Corporation from 2010 to 2019 (in", "1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The total square feet of selling space has remained fairly constant since 2010.

Chart data: Year Total square feet of selling space in thousands Dec 31, 2009 80139 Dec 31, 2010 82226 Dec 31, 2011 83098 Dec 31, 2012 83671 Dec 31, 2013 83750 Dec 31, 2014 83810 Dec 31, 2015 82757 Dec 31, 2016 82804 Dec 31, 2017 82620 Dec 31, 2018 82192

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/21217.tsv"}, "mark": "area", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Total square feet of selling space in thousands"}, "field": "Total square feet of selling space in thousands"}}, "title": ["Total square feet of selling space of the", "Kohl 's Corporation from 2010 to 2019 (in", "1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The total square feet of selling space has stayed fairly consistent between 2010-2019, dipping slightly in 2016.

Chart data: Year Total square feet of selling space in thousands Dec 31, 2009 80139 Dec 31, 2010 82226 Dec 31, 2011 83098 Dec 31, 2012 83671 Dec 31, 2013 83750 Dec 31, 2014 83810 Dec 31, 2015 82757 Dec 31, 2016 82804 Dec 31, 2017 82620 Dec 31, 2018 82192

Vega-Lite specification:
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Chart description: The selling space has remained pretty static over the period. There was a slight increase at the start followed by a slight decrease down to original levels.

Chart data: Year Total square feet of selling space in thousands Dec 31, 2009 80139 Dec 31, 2010 82226 Dec 31, 2011 83098 Dec 31, 2012 83671 Dec 31, 2013 83750 Dec 31, 2014 83810 Dec 31, 2015 82757 Dec 31, 2016 82804 Dec 31, 2017 82620 Dec 31, 2018 82192

Vega-Lite specification:
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Chart description: The number of children born per woman didn’t drop below 1.5 over the 5 years.

Chart data: Year Number of children born per woman Dec 31, 2007 1.49 Dec 31, 2008 1.51 Dec 31, 2009 1.49 Dec 31, 2010 1.52 Dec 31, 2011 1.62 Dec 31, 2012 1.67 Dec 31, 2013 1.7 Dec 31, 2014 1.72 Dec 31, 2015 1.73 Dec 31, 2016 1.54 Dec 31, 2017 1.45

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Chart description: Overall, there is a postive upwards trend in life expectancy a birth in Rwanda from 2008 - 2010. The lowest life expectancy is in 2008 at 60 - 62 years. The greatest life expectancy is in 2018 at 78 - 79 years. The increase in life expectancy at birth year to year is much greater between 2008 - 2014. From 2014 - 2018, the life expectancy at birth starts to increases at a slower magnitude year on year. From 2016 to 2018, the life expectancy appears to be plateauing.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 60.61 Dec 31, 2008 62.13 Dec 31, 2009 63.43 Dec 31, 2010 64.52 Dec 31, 2011 65.44 Dec 31, 2012 66.22 Dec 31, 2013 66.88 Dec 31, 2014 67.45 Dec 31, 2015 67.93 Dec 31, 2016 68.34 Dec 31, 2017 68.7

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Chart description: The bar chart shows that the age group with the largest number of single men households in Denmark is 50-59 with 100,000 the second highest in the 20-29 age group at 85,000 and after the 50-59 age group the number of single men households declines with age, although the lowest number of single men households in in the under 20 years group.

Chart data: Year Number of single-men households 100 years and older 147 90-99 years 7622 80-89 years 33823 70-79 years 66665 60-69 years 79048 50-59 years 98755 40-49 years 84986 30-39 years 67813 20-29 years 85470 Under 20 years 3421

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Chart description: Middle aged men are the most likely to live in a single man household. Young men and very old men are the least likely too.

Chart data: Year Number of single-men households 100 years and older 147 90-99 years 7622 80-89 years 33823 70-79 years 66665 60-69 years 79048 50-59 years 98755 40-49 years 84986 30-39 years 67813 20-29 years 85470 Under 20 years 3421

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Chart description: International homicide rates were higher in 2008 than in 2016. International homocide rates remained the same between 2014 and 2016.

Chart data: Year Intentional homicide rate per 100,000 population Dec 31, 2007 0.6 Dec 31, 2008 0.4 Dec 31, 2009 0.4 Dec 31, 2010 0.3 Dec 31, 2011 0.2 Dec 31, 2012 0.3 Dec 31, 2013 0.3 Dec 31, 2014 0.3 Dec 31, 2015 0.3 Dec 31, 2016 0.2

Vega-Lite specification:
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Chart description: The celebrities all seem to have received quite a high percentage of positive opinions of the respondents because there are none lower than 0.5 percent. David Attenborough has the highest percentage at nearly 0.8 percent and Richard Osman has the lowest at just under 0.6 percent.

Chart data: Response Share of respondents with a positive opinion David Attenborough 0.79 Martin Lewis 0.71 Trevor McDonald 0.71 Stephen Fry 0.68 Paul O'Grady 0.66 Barbara Windsor 0.65 Richard Hammond 0.62 Mary Berry 0.61 Graham Norton 0.61 Richard Osman 0.59

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Chart description: The deaths have drastically reduced to almost 0 from 450  in 1850. The sharpest decline would be in 1850 followed by one in about the 1920's and mid 1900's.

Chart data: Year Deaths per 1,000 live births Dec 31, 1844 450.6 Dec 31, 1849 438.62 Dec 31, 1854 358.72 Dec 31, 1859 297.45 Dec 31, 1864 303.74 Dec 31, 1869 320.03 Dec 31, 1874 325.83 Dec 31, 1879 316.02 Dec 31, 1884 313.21 Dec 31, 1889 302.65 Dec 31, 1894 312.35 Dec 31, 1899 326.11 Dec 31, 1904 279.97 Dec 31, 1909 282.66 Dec 31, 1914 279.44 Dec 31, 1919 290.83 Dec 31, 1924 252.58 Dec 31, 1929 211.02 Dec 31, 1934 186.02 Dec 31, 1939 190.65 Dec 31, 1944 157.74 Dec 31, 1949 108.71 Dec 31, 1954 82 Dec 31, 1959 61 Dec 31, 1964 48 Dec 31, 1969 37 Dec 31, 1974 26 Dec 31, 1979 18 Dec 31, 1984 13 Dec 31, 1989 10 Dec 31, 1994 8 Dec 31, 1999 6 Dec 31, 2004 5 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3

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Chart description: In 1850 to 2000 the trend mortality rate has fallen drastically.

Chart data: Year Deaths per 1,000 live births Dec 31, 1844 450.6 Dec 31, 1849 438.62 Dec 31, 1854 358.72 Dec 31, 1859 297.45 Dec 31, 1864 303.74 Dec 31, 1869 320.03 Dec 31, 1874 325.83 Dec 31, 1879 316.02 Dec 31, 1884 313.21 Dec 31, 1889 302.65 Dec 31, 1894 312.35 Dec 31, 1899 326.11 Dec 31, 1904 279.97 Dec 31, 1909 282.66 Dec 31, 1914 279.44 Dec 31, 1919 290.83 Dec 31, 1924 252.58 Dec 31, 1929 211.02 Dec 31, 1934 186.02 Dec 31, 1939 190.65 Dec 31, 1944 157.74 Dec 31, 1949 108.71 Dec 31, 1954 82 Dec 31, 1959 61 Dec 31, 1964 48 Dec 31, 1969 37 Dec 31, 1974 26 Dec 31, 1979 18 Dec 31, 1984 13 Dec 31, 1989 10 Dec 31, 1994 8 Dec 31, 1999 6 Dec 31, 2004 5 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3

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Chart description: child mortality in spain has rapidly declined, from around 450/1000 live births in 1850 at its highest, to virtually none in 2020.

Chart data: Year Deaths per 1,000 live births Dec 31, 1844 450.6 Dec 31, 1849 438.62 Dec 31, 1854 358.72 Dec 31, 1859 297.45 Dec 31, 1864 303.74 Dec 31, 1869 320.03 Dec 31, 1874 325.83 Dec 31, 1879 316.02 Dec 31, 1884 313.21 Dec 31, 1889 302.65 Dec 31, 1894 312.35 Dec 31, 1899 326.11 Dec 31, 1904 279.97 Dec 31, 1909 282.66 Dec 31, 1914 279.44 Dec 31, 1919 290.83 Dec 31, 1924 252.58 Dec 31, 1929 211.02 Dec 31, 1934 186.02 Dec 31, 1939 190.65 Dec 31, 1944 157.74 Dec 31, 1949 108.71 Dec 31, 1954 82 Dec 31, 1959 61 Dec 31, 1964 48 Dec 31, 1969 37 Dec 31, 1974 26 Dec 31, 1979 18 Dec 31, 1984 13 Dec 31, 1989 10 Dec 31, 1994 8 Dec 31, 1999 6 Dec 31, 2004 5 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3

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Chart description: Revenue grew from approx $340b in 2002 to approx £720b in 2018. Between 2002 to 2007 the trend was positive showing year-on-year growth. 2007-2008 showed a significant drop in gross margin to levels last seen around 2003. It took approximately three years (in 2010) for levels to return to the equivalent of 2007-2008 levels.

Chart data: Year Gross margin in billion U.S. dollars Dec 31, 2001 331.73 Dec 31, 2002 339.28 Dec 31, 2003 395.46 Dec 31, 2004 425.53 Dec 31, 2005 472.16 Dec 31, 2006 480.78 Dec 31, 2007 499.53 Dec 31, 2008 379.31 Dec 31, 2009 492.12 Dec 31, 2010 543.54 Dec 31, 2011 583.67 Dec 31, 2012 593.68 Dec 31, 2013 632.89 Dec 31, 2014 626.61 Dec 31, 2015 633.91 Dec 31, 2016 676.57 Dec 31, 2017 731.07

Vega-Lite specification:
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Chart description: The gross margin on durable goods for U.S merchant wholesalers is the highest it has been in 2020 at $700 billion USD. From 2008 to 2009 the gross margin decreased by $100 billion USD.

Chart data: Year Gross margin in billion U.S. dollars Dec 31, 2001 331.73 Dec 31, 2002 339.28 Dec 31, 2003 395.46 Dec 31, 2004 425.53 Dec 31, 2005 472.16 Dec 31, 2006 480.78 Dec 31, 2007 499.53 Dec 31, 2008 379.31 Dec 31, 2009 492.12 Dec 31, 2010 543.54 Dec 31, 2011 583.67 Dec 31, 2012 593.68 Dec 31, 2013 632.89 Dec 31, 2014 626.61 Dec 31, 2015 633.91 Dec 31, 2016 676.57 Dec 31, 2017 731.07

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "data/21260.tsv"}, "mark": "area", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Gross margin in billion U.S. dollars"}, "field": "Gross margin in billion U\\.S\\. dollars"}}, "title": ["U.S. merchant wholesalers ' gross margin", "on durable goods from 2002 to 2018 (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The X-axis plots years increasing in increments of 5. The Y-axis ploys percentage of respondents increasing in increments of 0.05. The lowest percentage of respondents was just over 0.10 around 1992. The highest percentage of respondents was around 1996 at over 0.20. There was a sharp increase in the percentage of respondents from 1992 to 1996, from its lowest to highest. Since 1996 there has been an overall decline in the percentage of respondents.

Chart data: Response Percentage of respondents Dec 31, 1990 0.109 Dec 31, 1991 0.105 Dec 31, 1992 0.133 Dec 31, 1993 0.168 Dec 31, 1994 0.186 Dec 31, 1995 0.206 Dec 31, 1996 0.205 Dec 31, 1997 0.195 Dec 31, 1998 0.195 Dec 31, 1999 0.192 Dec 31, 2000 0.194 Dec 31, 2001 0.182 Dec 31, 2002 0.173 Dec 31, 2003 0.162 Dec 31, 2004 0.158 Dec 31, 2005 0.149 Dec 31, 2006 0.148 Dec 31, 2007 0.146 Dec 31, 2008 0.158 Dec 31, 2009 0.167 Dec 31, 2010 0.17 Dec 31, 2011 0.168 Dec 31, 2012 0.173 Dec 31, 2013 0.165 Dec 31, 2014 0.159 Dec 31, 2015 0.155 Dec 31, 2016 0.161 Dec 31, 2017 0.163 Dec 31, 2018 0.172

Vega-Lite specification:
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