delen/vistext huggingface dataset:
Chart description: 2014 was a high point in revenue for Polo Ralph Lauren in the North American market. Since 2014 revenue in North America has fallen back below 2008 levels. 2017 was a bad year for revenue for Polo Ralph Lauren in North America.

Chart data: Region North America Dec 31, 2006 3452.2 Dec 31, 2007 3653.1 Dec 31, 2008 3575 Dec 31, 2009 3459.1 Dec 31, 2010 3819.2 Dec 31, 2011 4403 Dec 31, 2012 4586 Dec 31, 2013 4983 Dec 31, 2014 4645.7 Dec 31, 2015 4493.9 Dec 31, 2016 3795 Dec 31, 2017 3231 Dec 31, 2018 3202.9 Dec 31, 2019 3140.5

Vega-Lite specification:
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Chart description: In 2014 and 2018, volvo had the highest percentage share of new diesel cars in europe, at 1%, whereas toyota has the lowest, at around 0.2%.

Chart data: 2014 brand of passenger cars with diesel engines 0.9 Volvo 0.72 Mercedes 0.81 BMW 0.72 Audi 0.63 Peugeot 0.57 Renault 0.51 Nissan 0.56 Volkswagen 0.48 Skoda 0.44 Ford 0.51 Dacia 0.63 Citroen 0.33 Fiat 0.47 Kia 0.4 Opel 0.44 Seat 0.37 Hyundai 0.26 Toyota

Vega-Lite specification:
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Chart description: The chart shows that the amount of non federal hospitals has gone down over the years but recently spiked again.

Chart data: Year Nonfederal* Dec 31, 1974 6774 Dec 31, 1979 6606 Dec 31, 1989 6312 Dec 31, 1994 5992 Dec 31, 1999 5565 Dec 31, 2006 5495 Dec 31, 2007 5602 Dec 31, 2008 5584 Dec 31, 2009 5541 Dec 31, 2010 5516 Dec 31, 2011 5512 Dec 31, 2012 5473 Dec 31, 2013 5414 Dec 31, 2014 5352 Dec 31, 2015 5325 Dec 31, 2016 6002 Dec 31, 2017 5937

Vega-Lite specification:
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Chart description: The population of 0-17 year olds is growing year on year.  The population of 0-17 year olds has remained above 2000000.

Chart data: Year 0-17 years Dec 31, 2008 2205612 Dec 31, 2009 2214155 Dec 31, 2010 2231041 Dec 31, 2011 2245635 Dec 31, 2012 2258716 Dec 31, 2013 2268745 Dec 31, 2014 2277158 Dec 31, 2015 2285581 Dec 31, 2016 2294639 Dec 31, 2017 2301495 Dec 31, 2018 2305387 Dec 31, 2019 2312040

Vega-Lite specification:
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e6ab02", "#a6761d", "#666666"]}}, "data": {"url": "multiColumn/data/1321.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "0-17 years"}, "field": "0-17 years"}}, "title": ["Population of Belgium from 2009 to 2020", ", by age"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a significant link between an increase in age,  underlying health conditions and covid-related morbidity. Younger people are much less likely to be impacted by a secondary condition.

Chart data: Year Patients with an underlying health condition 9 years and younger 0.006 10 to 19 years 0.008 20 to 29 years 0.014 30 to 39 years 0.028 40 to 49 years 0.045 50 to 59 years 0.078 60 to 69 years 0.167 70 to 79 years 0.317 80 years and older 0.497 Total 0.195

Vega-Lite specification:
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Chart description: I can see a trend of the age distribution decreasing over the years.

Chart data: Year 0-14 years Dec 31, 2008 0.2812 Dec 31, 2009 0.2767 Dec 31, 2010 0.2723 Dec 31, 2011 0.2681 Dec 31, 2012 0.2641 Dec 31, 2013 0.2602 Dec 31, 2014 0.2564 Dec 31, 2015 0.2527 Dec 31, 2016 0.249 Dec 31, 2017 0.2454 Dec 31, 2018 0.242

Vega-Lite specification:
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Chart description: GDP is trending upward. GDP only decreased 3 times year on year but increased 7 times.

Chart data: Year Agriculture Dec 31, 2006 0.2325 Dec 31, 2007 0.2477 Dec 31, 2008 0.2603 Dec 31, 2009 0.2558 Dec 31, 2010 0.2498 Dec 31, 2011 0.2655 Dec 31, 2012 0.2679 Dec 31, 2013 0.258 Dec 31, 2014 0.2675 Dec 31, 2015 0.2744 Dec 31, 2016 0.2874

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": "multiColumn/data/1325.tsv"}, "mark": "line", "encoding": {"color": {"value": "#182429"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Tanzania : Share of economic sectors in", "the gross domestic product (GDP) from 2007", "to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Tanzania has maintained an agricultural margin above 0.25 since 2009.

Chart data: Year Agriculture Dec 31, 2006 0.2325 Dec 31, 2007 0.2477 Dec 31, 2008 0.2603 Dec 31, 2009 0.2558 Dec 31, 2010 0.2498 Dec 31, 2011 0.2655 Dec 31, 2012 0.2679 Dec 31, 2013 0.258 Dec 31, 2014 0.2675 Dec 31, 2015 0.2744 Dec 31, 2016 0.2874

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": "multiColumn/data/1325.tsv"}, "mark": "line", "encoding": {"color": {"value": "#182429"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Tanzania : Share of economic sectors in", "the gross domestic product (GDP) from 2007", "to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: starting before 2008 recorded 0.24, it then decreased from here in 2009 where it was the lowest at 0.22 it then rebounded / regained  in 2010 and reached the highest value in 2011 of 0.26it then recorded a gradual decrease until 2015 before increasing into 2016.

Chart data: Year Industry Dec 31, 2006 0.232 Dec 31, 2007 0.2374 Dec 31, 2008 0.2168 Dec 31, 2009 0.2356 Dec 31, 2010 0.2638 Dec 31, 2011 0.254 Dec 31, 2012 0.2545 Dec 31, 2013 0.2514 Dec 31, 2014 0.2449 Dec 31, 2015 0.2486 Dec 31, 2016 0.251

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "multiColumn/data/1325.tsv"}, "mark": "line", "encoding": {"color": {"value": "#b96db8"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Industry"}, "field": "Industry"}}, "title": ["Tanzania : Share of economic sectors in", "the gross domestic product (GDP) from 2007", "to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The economic sector fell in 2009 before rising until 2011, it has fallen very slowly over the next 6 years.

Chart data: Year Industry Dec 31, 2006 0.232 Dec 31, 2007 0.2374 Dec 31, 2008 0.2168 Dec 31, 2009 0.2356 Dec 31, 2010 0.2638 Dec 31, 2011 0.254 Dec 31, 2012 0.2545 Dec 31, 2013 0.2514 Dec 31, 2014 0.2449 Dec 31, 2015 0.2486 Dec 31, 2016 0.251

Vega-Lite specification:
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Chart description: The share of economics sectors in the GDP from 2007 to 2017 in Tanzania was at its lowest in 2009, being between 0.20 and 0.25 but increased over 0.25 in 2011 and it then went stable around 0.25 from 2012.

Chart data: Year Industry Dec 31, 2006 0.232 Dec 31, 2007 0.2374 Dec 31, 2008 0.2168 Dec 31, 2009 0.2356 Dec 31, 2010 0.2638 Dec 31, 2011 0.254 Dec 31, 2012 0.2545 Dec 31, 2013 0.2514 Dec 31, 2014 0.2449 Dec 31, 2015 0.2486 Dec 31, 2016 0.251

Vega-Lite specification:
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Chart description: Share of economic sectors in Tanzania was its highest in around 2011. Share of economic sectors in Tanzania was at its lowest in around 2009. The share of economic sectors in Tanzania hasn't seen much variation.

Chart data: Year Industry Dec 31, 2006 0.232 Dec 31, 2007 0.2374 Dec 31, 2008 0.2168 Dec 31, 2009 0.2356 Dec 31, 2010 0.2638 Dec 31, 2011 0.254 Dec 31, 2012 0.2545 Dec 31, 2013 0.2514 Dec 31, 2014 0.2449 Dec 31, 2015 0.2486 Dec 31, 2016 0.251

Vega-Lite specification:
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Chart description: Employment has decreased from 2000 to 2010 and has increased from 2011 to 2019.

Chart data: 16-24 year 0.512 '19 0.505 '18 0.503 '17 0.494 '16 0.486 '15 0.476 '14 0.465 '13 0.46 '12 0.455 '11 0.45 '10 0.469 '09 0.512 '08 0.531 '07 0.542 '06 0.539 '05 0.539 '04 0.539 '03 0.557 '02 0.577 '01 0.597 '00

Vega-Lite specification:
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Chart description: Employment rate in the United States shows that it is 0.8 or very close to 0.8 between 2000 and 2019.

Chart data: 30-34 year 0.802 '19 0.797 '18 0.788 '17 0.782 '16 0.774 '15 0.771 '14 0.764 '13 0.758 '12 0.749 '11 0.748 '10 0.757 '09 0.793 '08 0.801 '07 0.797 '06 0.795 '05 0.792 '04 0.787 '03 0.794 '02 0.807 '01 0.82 '00

Vega-Lite specification:
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Chart description: Employment rate dropped slightly from 09 to 06. Although the bar chart is not clear as to by how much.

Chart data: 35-44 year 0.809 '19 0.804 '18 0.798 '17 0.793 '16 0.787 '15 0.783 '14 0.774 '13 0.771 '12 0.766 '11 0.765 '10 0.77 '09 0.802 '08 0.809 '07 0.809 '06 0.805 '05 0.8 '04 0.797 '03 0.803 '02 0.816 '01 0.822 '00

Vega-Lite specification:
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Chart description: GDP from agriculture in Botswana has been on a downward trend between 2009 to 2019.

Chart data: Year Agriculture Dec 31, 2008 0.0282 Dec 31, 2009 0.0249 Dec 31, 2010 0.0251 Dec 31, 2011 0.027 Dec 31, 2012 0.023 Dec 31, 2013 0.0209 Dec 31, 2014 0.022 Dec 31, 2015 0.0205 Dec 31, 2016 0.0199 Dec 31, 2017 0.0199 Dec 31, 2018 0.0195

Vega-Lite specification:
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Chart description: GDP in Botswana’s agricultural sector has seen a downward trend between 2010 and 2018.

Chart data: Year Agriculture Dec 31, 2008 0.0282 Dec 31, 2009 0.0249 Dec 31, 2010 0.0251 Dec 31, 2011 0.027 Dec 31, 2012 0.023 Dec 31, 2013 0.0209 Dec 31, 2014 0.022 Dec 31, 2015 0.0205 Dec 31, 2016 0.0199 Dec 31, 2017 0.0199 Dec 31, 2018 0.0195

Vega-Lite specification:
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Chart description: The Graph tells me that Botswana's GDP has been gradually falling over the years, with peaks mostly in 2014 and 2016 before falling again to the previous low in the odd years, with 2012 being the exception. I also noticed that 2009 and 2019 have the same GDP growth placed at 0.29. Over the 10 year period it seems that Botswana has grown very little and has grown the exact same in the years 2009 and 2019.

Chart data: Year Industry Dec 31, 2008 0.2816 Dec 31, 2009 0.3186 Dec 31, 2010 0.3505 Dec 31, 2011 0.2972 Dec 31, 2012 0.3148 Dec 31, 2013 0.3308 Dec 31, 2014 0.2998 Dec 31, 2015 0.3209 Dec 31, 2016 0.2984 Dec 31, 2017 0.2946 Dec 31, 2018 0.283

Vega-Lite specification:
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Chart description: The highest TV ratings were on April 1st to 5th, 2019. The lowest TV ratings were from October 12th to 16th, 2020.

Chart data: Month 12.30 a.m. October 12 to 16, 2020 0.19 August 10 to 14, 2020 0.23 May 25 to 29, 2020 0.26 April 20 to 24, 2020 0.31 March 23 to 27, 2020 0.31 February 24 to 28. 2020 0.27 January 20 to 24, 2020 0.31 December 23 to 27, 2019 0.28 November 18 to 22, 2019 0.29 October 28 to November 1, 2019 0.28 September 23 to 27, 2019 0.25 August 26 to 30, 2019 0.26 July 29 to August 2, 2019 0.31 July 1 to 5, 2019 0.2 May 27 to 31, 2019 0.3 April 29 to May 3, 2019 0.29 April 1 to 5, 2019 0.43 February 25 to March 1, 2019 0.34

Vega-Lite specification:
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Chart description: In Brazil, the highest inflation rate (compared to the previous year) was registered in 2015 followed by 2016 when the inflation rate exceeded 0.08. Since 2017 Brazil witnessed a drop of the inflation rate below 0.04. From that year to 2021 the inflation rate did not go up again.

Chart data: Brazil Year 0.0331 2021* 0.0356 2020* 0.0373 2019 0.0367 2018 0.0345 2017 0.0874 2016 0.0903 2015 0.0633 2014 0.062 2013 0.054 2012 0.0664 2011 0.0504 2010 0.0489 2009

Vega-Lite specification:
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Chart description: Since 2009, when there was a fall in inflation, China has experienced consistent positive inflation year on year, reaching a peak in 2011 at over 0.05, mostly falling between 0.01 and 0.03.

Chart data: Year China 2021* 0.0255 2020* 0.0305 2019 0.029 2018 0.0211 2017 0.0156 2016 0.02 2015 0.0144 2014 0.0199 2013 0.0262 2012 0.0265 2011 0.054 2010 0.033 2009 −0.007

Vega-Lite specification:
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Chart description: Inflation rate increased the most in 2011. 2009 was the only year for the inflation rate to decrease. Most years the inflation rate increased between 0.01 and 0.03.

Chart data: Year China 2021* 0.0255 2020* 0.0305 2019 0.029 2018 0.0211 2017 0.0156 2016 0.02 2015 0.0144 2014 0.0199 2013 0.0262 2012 0.0265 2011 0.054 2010 0.033 2009 −0.007

Vega-Lite specification:
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Chart description: You can see that inflation rose for a few years and then dropped for a few years and started to rise again.

Chart data: Year Russia 2021* 0.035 2020* −0.0547 2019 0.0134 2018 0.0254 2017 0.0179 2016 0.0029 2015 −0.0196 2014 0.007 2013 0.018 2012 0.037 2011 0.0507 2010 0.045 2009 −0.0782

Vega-Lite specification:
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Chart description: 2008 saw the highest number of solid democrat states at 28. Since then numbers have varied. 2011 saw the lowest number at 11 and 2014/15 saw the number at 12. The numbers improved to a high of 15 in 2017 but have  since started to decrease.

Chart data: Year Solid Democrat Dec 31, 2007 29 Dec 31, 2008 23 Dec 31, 2009 13 Dec 31, 2010 11 Dec 31, 2011 13 Dec 31, 2012 12 Dec 31, 2013 11 Dec 31, 2014 11 Dec 31, 2015 13 Dec 31, 2016 15 Dec 31, 2017 14

Vega-Lite specification:
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Chart description: Between 2008 and 2009 the number of republicans remained the same. The number also stayed the same between 2016 and 2017. The number of republican supporters rose sharply between 2010 and 2011 and again between 2014 and 2016.

Chart data: Year Solid Republican Dec 31, 2007 4 Dec 31, 2008 4 Dec 31, 2009 5 Dec 31, 2010 10 Dec 31, 2011 9 Dec 31, 2012 12 Dec 31, 2013 10 Dec 31, 2014 12 Dec 31, 2015 14 Dec 31, 2016 13 Dec 31, 2017 13

Vega-Lite specification:
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Chart description: Between the year 2008 and 2016, the highest number of Solid Republican was reached in 2016, while the lowest number was in 2008.

Chart data: Year Solid Republican Dec 31, 2007 4 Dec 31, 2008 4 Dec 31, 2009 5 Dec 31, 2010 10 Dec 31, 2011 9 Dec 31, 2012 12 Dec 31, 2013 10 Dec 31, 2014 12 Dec 31, 2015 14 Dec 31, 2016 13 Dec 31, 2017 13

Vega-Lite specification:
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Chart description: FMCG products saw enormous growth in weekly sales at the start of the coronavirus outbreak around the first week of March 2020 and in the second week of March, they saw their sales nearly double what they sold in the first week.

Chart data: type of FMCG products Cleansers/Toilet Soap W01 0.08 W02 −0.04 W03 0.05 W04 0.03 W05 0.07 W06 −0.02 W07 0.05 W08 −0.07 W09 0.91 W10 1.53

Vega-Lite specification:
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Chart description: Big increase in W09Massive increase in W10Consistent between W06, W07, W08.

Chart data: type of FMCG products Toilet paper W01 0.14 W02 0 W03 0.04 W04 0.12 W05 −0.06 W06 0.06 W07 0.06 W08 0.05 W09 0.24 W10 0.56

Vega-Lite specification:
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