delen/vistext huggingface dataset:
Chart description: Frank and paul we're the most successful home runners. The others were of a similar range that year.

Chart data: Home run leader Number of home runs Frank Thomas 448 Paul Konerko 432 Harold Baines 221 Carlton Fisk 214 Jose Abreu 198 Magglio Ordonez 187 Robin Ventura 171 Jermaine Dye 164 Bill Melton 154 Carlos Lee 152

Vega-Lite specification:
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Chart description: The chart shows the all time home runner leaders for the Chicago White Sox, with the lowest having approximately 150 home runs, two having just over 200, and another two with over 400 home runs each.

Chart data: Home run leader Number of home runs Frank Thomas 448 Paul Konerko 432 Harold Baines 221 Carlton Fisk 214 Jose Abreu 198 Magglio Ordonez 187 Robin Ventura 171 Jermaine Dye 164 Bill Melton 154 Carlos Lee 152

Vega-Lite specification:
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Chart description: I can see that the South East had the highest number and northen Ireland had a lowest amount of number.

Chart data: city Number of workforce jobs in thousands Northern Ireland 147 Scotland 356 Wales 185 South West 419 South East 745 London 657 East of England 476 West Midlands 452 East Midlands 388 Yorkshire and The Humber 386 North West 602 North East 158

Vega-Lite specification:
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Chart description: There appear to be more jobs in the south of England. The further North that you look, there are less people in the workforce.

Chart data: city Number of workforce jobs in thousands Northern Ireland 147 Scotland 356 Wales 185 South West 419 South East 745 London 657 East of England 476 West Midlands 452 East Midlands 388 Yorkshire and The Humber 386 North West 602 North East 158

Vega-Lite specification:
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Chart description: The line graph shows that the youth unemployment rate slightly improved between 2010 to 2015.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1117 Dec 31, 1999 0.1015 Dec 31, 2000 0.1153 Dec 31, 2001 0.1134 Dec 31, 2002 0.117 Dec 31, 2003 0.1158 Dec 31, 2004 0.1166 Dec 31, 2005 0.1107 Dec 31, 2006 0.1081 Dec 31, 2007 0.1074 Dec 31, 2008 0.1165 Dec 31, 2009 0.1079 Dec 31, 2010 0.0983 Dec 31, 2011 0.102 Dec 31, 2012 0.1006 Dec 31, 2013 0.0988 Dec 31, 2014 0.1115 Dec 31, 2015 0.11 Dec 31, 2016 0.1104 Dec 31, 2017 0.1103 Dec 31, 2018 0.1126 Dec 31, 2019 0.1172

Vega-Lite specification:
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Chart description: Between 2000 and 2015, youth unemployment rates only drop under 0.10 on two occasions.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1117 Dec 31, 1999 0.1015 Dec 31, 2000 0.1153 Dec 31, 2001 0.1134 Dec 31, 2002 0.117 Dec 31, 2003 0.1158 Dec 31, 2004 0.1166 Dec 31, 2005 0.1107 Dec 31, 2006 0.1081 Dec 31, 2007 0.1074 Dec 31, 2008 0.1165 Dec 31, 2009 0.1079 Dec 31, 2010 0.0983 Dec 31, 2011 0.102 Dec 31, 2012 0.1006 Dec 31, 2013 0.0988 Dec 31, 2014 0.1115 Dec 31, 2015 0.11 Dec 31, 2016 0.1104 Dec 31, 2017 0.1103 Dec 31, 2018 0.1126 Dec 31, 2019 0.1172

Vega-Lite specification:
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Chart description: Rakhim Abramov earned the highest of the tiktokers with over 10 million Russian Rubles. Diana Aster (Diana Dmitrieva) earned the least of all the tiktokers with a little over 1 million Russian Rubles. Alexey Savko earned just a little below Dina Saeva who earned about 5 million Russian Rubles.

Chart data: most successful Russian-speaking TikTok bloggers Revenue in million Russian rubles Rakhim Abramov 10.47 Dina Saeva 4.93 Alexey Savko 4.81 Julia Gavrilina 3.32 Valya Karnaval (Valentina Karnaukhova) 3.21 Danya Milokhin (Danila Milokhin) 2.87 Artem and Kirill Verzakov 2.56 Anna Kalashnik 2 Anya Pokrov (Anna Pokrovskaya) 1.92 Diana Aster (Diana Dmitrieva) 1.44

Vega-Lite specification:
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Chart description: Expenses of reporting non profit organisations in the US is greater in the year 2015 compared to 2000.

Chart data: Year Expenses in trillion U.S. dollars Dec 31, 1997 0.92 Dec 31, 1998 0.97 Dec 31, 1999 1.01 Dec 31, 2000 1.11 Dec 31, 2001 1.22 Dec 31, 2002 1.3 Dec 31, 2003 1.37 Dec 31, 2004 1.48 Dec 31, 2005 1.59 Dec 31, 2006 1.7 Dec 31, 2007 1.81 Dec 31, 2008 1.89 Dec 31, 2009 1.93 Dec 31, 2010 1.99 Dec 31, 2011 2.03 Dec 31, 2012 2.1 Dec 31, 2013 2.25 Dec 31, 2014 2.36 Dec 31, 2015 2.48

Vega-Lite specification:
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Chart description: The chart shows a gradual increase in expenses between 1998 and 2016.

Chart data: Year Expenses in trillion U.S. dollars Dec 31, 1997 0.92 Dec 31, 1998 0.97 Dec 31, 1999 1.01 Dec 31, 2000 1.11 Dec 31, 2001 1.22 Dec 31, 2002 1.3 Dec 31, 2003 1.37 Dec 31, 2004 1.48 Dec 31, 2005 1.59 Dec 31, 2006 1.7 Dec 31, 2007 1.81 Dec 31, 2008 1.89 Dec 31, 2009 1.93 Dec 31, 2010 1.99 Dec 31, 2011 2.03 Dec 31, 2012 2.1 Dec 31, 2013 2.25 Dec 31, 2014 2.36 Dec 31, 2015 2.48

Vega-Lite specification:
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Chart description: Electric resource saw a sharp increase in 2004 and it remained high until 2010.

Chart data: Year Capacity resources in megawatts Dec 31, 1997 158360 Dec 31, 1998 160575 Dec 31, 1999 169760 Dec 31, 2000 171530 Dec 31, 2001 172485 Dec 31, 2002 177231 Dec 31, 2003 182861 Dec 31, 2004 219749 Dec 31, 2005 223630 Dec 31, 2006 234232 Dec 31, 2007 228169 Dec 31, 2008 247400 Dec 31, 2009 200511

Vega-Lite specification:
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Chart description: the production expense for farming has been steadily increasing since 2000, peaking at almost 400 billion dollas in 2014.

Chart data: Year Expenses in billion U.S. dollars Dec 31, 1999 191 Dec 31, 2000 195 Dec 31, 2001 191.4 Dec 31, 2002 197.7 Dec 31, 2003 207.5 Dec 31, 2004 219.7 Dec 31, 2005 232.7 Dec 31, 2006 269.5 Dec 31, 2007 292.6 Dec 31, 2008 280.3 Dec 31, 2009 285.2 Dec 31, 2010 310.6 Dec 31, 2011 353.3 Dec 31, 2012 360.1 Dec 31, 2013 390.7 Dec 31, 2014 359 Dec 31, 2015 350.1 Dec 31, 2016 357.8 Dec 31, 2017 354

Vega-Lite specification:
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Chart description: The graph opens in 1997 with an energy input of 60 billion dollars. The input increased to around 110 billion dollars by the year 2000. The input continued to increase to the year 2005 when it reached its peak of 140 billion dollars. For the five years from 2005 to 2010, the input markedly decreased to around 90 billion dollars. However, there was a sharp rise from 2010 to 2014, when the input reached approximately $130 billion. This was followed by the sharpest decline, plummeting to around $65 billion by 2016. The input has since recovered, with growth through to 2018, returning to $90bn.

Chart data: Year Energy inputs in billion U.S. dollars Dec 31, 1996 60.4 Dec 31, 1999 110.69 Dec 31, 2004 142.28 Dec 31, 2009 127.22 Dec 31, 2010 115.21 Dec 31, 2011 93.11 Dec 31, 2012 109.3 Dec 31, 2013 126.67 Dec 31, 2014 94.89 Dec 31, 2015 70.39 Dec 31, 2016 84.54 Dec 31, 2017 91.58

Vega-Lite specification:
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Chart description: Newmont Corporation's most successful year in the decade 2009 - 2019 was 2012 when they were able to achieve over $1500 per ounce of gold. For 3 years (2009 - 2012) the price steadily increased from $1000 to over $1500 before falling for the next 3 years to over $1100 per ounce. Prices began to rise again in 2015 but largely remained static at $1250 from 2016 to 2018 but have risen again in 2019 to around $1400, the second highest values in the decade.

Chart data: Year Price in U.S. dollars per ounce Dec 31, 2008 977 Dec 31, 2009 1222 Dec 31, 2010 1562 Dec 31, 2011 1662 Dec 31, 2012 1393 Dec 31, 2013 1260 Dec 31, 2014 1149 Dec 31, 2015 1243 Dec 31, 2016 1255 Dec 31, 2017 1260 Dec 31, 2018 1399

Vega-Lite specification:
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Chart description: Gold prices reached a peak of around $1600 per ounce in 2012. They then dropped over the next few years before slowly recovering to around $1400 per ounce in mid-2018.

Chart data: Year Price in U.S. dollars per ounce Dec 31, 2008 977 Dec 31, 2009 1222 Dec 31, 2010 1562 Dec 31, 2011 1662 Dec 31, 2012 1393 Dec 31, 2013 1260 Dec 31, 2014 1149 Dec 31, 2015 1243 Dec 31, 2016 1255 Dec 31, 2017 1260 Dec 31, 2018 1399

Vega-Lite specification:
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Chart description: There was a dip in the overall growth around 2010 to 450 billion dollars. Overall the chart shows a progressive rise.

Chart data: Year Revenue in billion U.S. dollars Dec 31, 1976 60.64 Dec 31, 1981 93.61 Dec 31, 1986 144.09 Dec 31, 1991 197.73 Dec 31, 1996 261.42 Dec 31, 1999 309.29 Dec 31, 2000 320.22 Dec 31, 2001 324.12 Dec 31, 2002 337.79 Dec 31, 2003 361.03 Dec 31, 2004 384.27 Dec 31, 2005 417.73 Dec 31, 2006 440.47 Dec 31, 2007 449.94 Dec 31, 2008 434.13 Dec 31, 2009 435.57 Dec 31, 2010 463.98 Dec 31, 2011 476.54 Dec 31, 2012 495.24 Dec 31, 2013 522.01 Dec 31, 2014 545 Dec 31, 2015 558.85 Dec 31, 2016 574.25

Vega-Lite specification:
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Chart description: The largest share of respondents reported that economic conditions drove their company's spending on information security. In contrast, intellectual property theft generated the lowest number of responses. However, there is a relatively small difference between these two values on the given scale.

Chart data: Share of respondents Response 0.4159 Economic conditions 0.2924 Change and business transformation 0.3026 Business continuity/ disaster recovery 0.2453 Outsourcing 0.3022 Company reputation 0.2955 Regulatory compliance 0.2954 Internal policy compliance 0.1638 Hactivism 0.1279 Intellectual property theft due to nation-state espionage 0.1667 Criminal theft of customer or employee information

Vega-Lite specification:
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Chart description: The main reason for the spending on information security is economic conditions.

Chart data: Share of respondents Response 0.4159 Economic conditions 0.2924 Change and business transformation 0.3026 Business continuity/ disaster recovery 0.2453 Outsourcing 0.3022 Company reputation 0.2955 Regulatory compliance 0.2954 Internal policy compliance 0.1638 Hactivism 0.1279 Intellectual property theft due to nation-state espionage 0.1667 Criminal theft of customer or employee information

Vega-Lite specification:
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Chart description: The gate receipts of the Philadelphia Philies had a decrease between the years 2012 and 2015, and after that a small increase from 2015 until 2019. We can observe that the gate receipts were kept the same between 2016 and 2018.

Chart data: Year Gate receipts in million U.S. dollars Dec 31, 2008 123 Dec 31, 2009 124 Dec 31, 2010 132 Dec 31, 2011 133 Dec 31, 2012 111 Dec 31, 2013 89 Dec 31, 2014 72 Dec 31, 2015 84 Dec 31, 2016 84 Dec 31, 2017 84 Dec 31, 2018 108

Vega-Lite specification:
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Chart description: The chart shows that electricity consumption in Taiwan has steadily increased between 2010 and 2018. Between 2018 and 2019 there was a slight decrease in electricity consumption. From 2010 to 2019 electricity consumption has been above 10,000 kWh.

Chart data: Year Per capita electricity consumption in kWh Dec 31, 2009 10259 Dec 31, 2010 10438 Dec 31, 2011 10361 Dec 31, 2012 10499 Dec 31, 2013 10728 Dec 31, 2014 10656 Dec 31, 2015 10862 Dec 31, 2016 11097 Dec 31, 2017 11296 Dec 31, 2018 11238

Vega-Lite specification:
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Chart description: After the fall of business over the 2010 to 2014, it is set to increase to that of levels seen before 2010.

Chart data: Year Number of enterprises Dec 31, 2007 42 Dec 31, 2008 47 Dec 31, 2009 42 Dec 31, 2010 34 Dec 31, 2011 35 Dec 31, 2012 32 Dec 31, 2013 32 Dec 31, 2014 39 Dec 31, 2015 42 Dec 31, 2016 41

Vega-Lite specification:
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Chart description: Budget balance increased sharply from 2015 to 2016, then gradually fell again from 2016 to 2020, reaching a low of -0.09. From 2020 to 2025 the budget balance is projected to increase gradually, to around -0.02.

Chart data: Budget balance in relation to GDP Year −0.0266 2025* −0.044 2024* −0.0551 2023* −0.0576 2022* −0.0737 2021* −0.0914 2020* −0.0598 2019 −0.0466 2018 −0.0358 2017 −0.0366 2016 −0.0839 2015

Vega-Lite specification:
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Chart description: Northern Island and south west have the biggest  percentage of jobs expected to become obsolete from digital technology in the next two years.

Chart data: Response Percentage of jobs expected to become obsolete Northern Island 0.012 South West 0.012 Scotland 0.01 East 0.01 London 0.01 South East 0.01 West Midlands 0.01 East Midlands 0.01 Wales 0.009 North East 0.009 Yorkshire and Humber 0.009 North West 0.009

Vega-Lite specification:
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Chart description: Two regions (Northern Ireland and the South West) are expected to have more than 0.01% of jobs become obsolete due to digital technology between 2015 and 2017. All regions of the UK are expected to have at least some jobs become obsolete due to digital technology between 2015 and 2017.

Chart data: Response Percentage of jobs expected to become obsolete Northern Island 0.012 South West 0.012 Scotland 0.01 East 0.01 London 0.01 South East 0.01 West Midlands 0.01 East Midlands 0.01 Wales 0.009 North East 0.009 Yorkshire and Humber 0.009 North West 0.009

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Chart description: In 2014 there was the lowest amount of invidividuals under the age of majority.

Chart data: Year Number of individuals Dec 31, 2007 468 Dec 31, 2008 503 Dec 31, 2009 474 Dec 31, 2010 486 Dec 31, 2011 508 Dec 31, 2012 452 Dec 31, 2013 365 Dec 31, 2014 436 Dec 31, 2015 473 Dec 31, 2016 464 Dec 31, 2017 468 Dec 31, 2018 410

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