delen/vistext huggingface dataset:
Chart description: The world's highest-paid tennis player in 2019/20 was Rafael Nadal at 14 million US dollars. The world's highest-paid male tennis player in 2019/20 was Rafael Nadal. The world's highest-paid female tennis player in 2019/20 was Ashleigh Barty, who earned 10 million US dollars.

Chart data: Prize money highest-paid tennis players 6.3 Roger Federer 12.6 Novak Djokovic 14 Rafael Nadal 3.4 Naomi Osaka 4 Serena Williams 1.1 Kei Nishikori 10.1 Ashleigh Barty 7.3 Daniil Medveded 7.1 Dominic Thiem 6.9 Simona Halep

Vega-Lite specification:
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Chart description: No real pattern, but easy to see the highest earning tennis players.

Chart data: Prize money highest-paid tennis players 6.3 Roger Federer 12.6 Novak Djokovic 14 Rafael Nadal 3.4 Naomi Osaka 4 Serena Williams 1.1 Kei Nishikori 10.1 Ashleigh Barty 7.3 Daniil Medveded 7.1 Dominic Thiem 6.9 Simona Halep

Vega-Lite specification:
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Chart description: Voter turnout was on a decline from 1966 to 2015 but after hitting a low of 0.39 it then increase to 0.49 in 2018.

Chart data: Year National average Dec 31, 1965 0.554 Dec 31, 1969 0.546 Dec 31, 1973 0.447 Dec 31, 1977 0.459 Dec 31, 1981 0.485 Dec 31, 1985 0.46 Dec 31, 1989 0.45 Dec 31, 1993 0.45 Dec 31, 1997 0.419 Dec 31, 2001 0.423 Dec 31, 2005 0.436 Dec 31, 2009 0.418 Dec 31, 2013 0.385 Dec 31, 2017 0.49

Vega-Lite specification:
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Chart description: Overall voter turnout among 18 to 24 year olds generally decreased over the years from 1966 until about 2014. From about 2014 to 2018, there was a sharp increase in voter turnout among 18 to 24 year olds. Voter turnout among 18 to 24 year olds was at its highest in 1966.

Chart data: Year 18-24** Dec 31, 1965 0.311 Dec 31, 1969 0.304 Dec 31, 1973 0.238 Dec 31, 1977 0.235 Dec 31, 1981 0.248 Dec 31, 1985 0.219 Dec 31, 1989 0.204 Dec 31, 1993 0.201 Dec 31, 1997 0.166 Dec 31, 2001 0.172 Dec 31, 2005 0.199 Dec 31, 2009 0.196 Dec 31, 2013 0.159 Dec 31, 2017 0.301

Vega-Lite specification:
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Chart description: It appears to drop in around 1975 for the voters turning out.

Chart data: Year 65+ Dec 31, 1965 0.561 Dec 31, 1969 0.57 Dec 31, 1973 0.514 Dec 31, 1977 0.559 Dec 31, 1981 0.599 Dec 31, 1985 0.609 Dec 31, 1989 0.603 Dec 31, 1993 0.613 Dec 31, 1997 0.595 Dec 31, 2001 0.61 Dec 31, 2005 0.605 Dec 31, 2009 0.589 Dec 31, 2013 0.575 Dec 31, 2017 0.638

Vega-Lite specification:
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Chart description: Again not sure how the Y axis measure works, but it shows Aurora is perceived as the worst role model, whilst Moana comes out on top.

Chart data: Response Good role model Moana 0.72 Mulan 0.68 Merida 0.66 Tiana 0.6 Belle 0.58 Rapunzel 0.57 Pocahontas 0.57 Anna 0.49 Elsa 0.46 Jasmine 0.44 Cinderella 0.44 Snow White 0.44 Ariel 0.41 Aurora 0.34

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "multiColumn/data/2616.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d09393"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Good role model"}, "field": "Good role model"}}, "title": ["Do you think the following Disney princesses", "are good or bad role models for girls ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Moana has the highest percentage of people who think she’s a good role model for girls. The 4 highest rated which are above 60% considered good role models include Moana, Merida, mulan, and Tiana.

Chart data: Response Good role model Moana 0.72 Mulan 0.68 Merida 0.66 Tiana 0.6 Belle 0.58 Rapunzel 0.57 Pocahontas 0.57 Anna 0.49 Elsa 0.46 Jasmine 0.44 Cinderella 0.44 Snow White 0.44 Ariel 0.41 Aurora 0.34

Vega-Lite specification:
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Chart description: from this graph you can see people thought the characters whoes names started with 'M' were the best examples of role models. other than that there are no clear trends. the graph can be used to see what people think of each character and how good of a role model each individual one is.

Chart data: Response Good role model Moana 0.72 Mulan 0.68 Merida 0.66 Tiana 0.6 Belle 0.58 Rapunzel 0.57 Pocahontas 0.57 Anna 0.49 Elsa 0.46 Jasmine 0.44 Cinderella 0.44 Snow White 0.44 Ariel 0.41 Aurora 0.34

Vega-Lite specification:
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Chart description: The princesses are listed in alphabetical order along the bottom of the chart. The block counting the response amount is displayed in 'princess pink'.

Chart data: Response Good role model Moana 0.72 Mulan 0.68 Merida 0.66 Tiana 0.6 Belle 0.58 Rapunzel 0.57 Pocahontas 0.57 Anna 0.49 Elsa 0.46 Jasmine 0.44 Cinderella 0.44 Snow White 0.44 Ariel 0.41 Aurora 0.34

Vega-Lite specification:
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Chart description: The Disney princess that most people think is a good role model for girls is Jasmine and the the princess that the least number of people think is a good role model is Moana.

Chart data: Don't know Response 0.13 Moana 0.16 Mulan 0.17 Merida 0.17 Tiana 0.17 Belle 0.15 Rapunzel 0.19 Pocahontas 0.2 Anna 0.2 Elsa 0.27 Jasmine 0.17 Cinderella 0.19 Snow White 0.17 Ariel 0.26 Aurora

Vega-Lite specification:
{"config": {"background": "#ffffff", "title": {"anchor": "start", "color": "#000000", "font": "Benton Gothic Bold, sans-serif", "fontSize": 22, "fontWeight": "normal"}, "area": {"fill": "#82c6df"}, "line": {"stroke": "#82c6df", "strokeWidth": 2}, "rect": {"fill": "#82c6df"}, "bar": {"fill": "#82c6df"}, "point": {"color": "#82c6df", "size": 30}, "axis": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "labelFontWeight": "normal", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "axisX": {"labelPadding": 4, "tickSize": 3}, "axisY": {"labelBaseline": "middle", "maxExtent": 45, "minExtent": 45, "tickSize": 2, "titleAlign": "left", "titleAngle": 0, "titleX": -45, "titleY": -11}, "legend": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "symbolType": "square", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "range": {"category": ["#ec8431", "#829eb1", "#c89d29", "#3580b1", "#adc839", "#ab7fb4"], "diverging": ["#e68a4f", "#f4bb6a", "#f9e39c", "#dadfe2", "#a6b7c6", "#849eae"], "heatmap": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ordinal": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ramp": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"]}}, "data": {"url": "multiColumn/data/2616.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "quantitative", "axis": {"title": "Don't know"}, "field": "Don\\'t know"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Do you think the following Disney princesses", "are good or bad role models for girls ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The bar chart shows that the Disney princesses who are more independent and newer stories are less of a bad role model. Those princesses looking for a prince are those who are not good for self esteem.

Chart data: Bad role model Response 0.02 Moana 0.02 Mulan 0.02 Merida 0.03 Tiana 0.05 Belle 0.04 Rapunzel 0.02 Pocahontas 0.05 Anna 0.07 Elsa 0.04 Jasmine 0.11 Cinderella 0.1 Snow White 0.12 Ariel 0.09 Aurora

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": "multiColumn/data/2616.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#83bcb6"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Bad role model"}, "field": "Bad role model"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}}, "title": ["Do you think the following Disney princesses", "are good or bad role models for girls ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Age structure has increased in a general flow since 2010.

Chart data: Year 65 years and older Dec 31, 2008 0.0268 Dec 31, 2009 0.0269 Dec 31, 2010 0.0271 Dec 31, 2011 0.0274 Dec 31, 2012 0.0276 Dec 31, 2013 0.0278 Dec 31, 2014 0.028 Dec 31, 2015 0.0283 Dec 31, 2016 0.0285 Dec 31, 2017 0.0287 Dec 31, 2018 0.0289

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": "multiColumn/data/2623.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7F7F7F"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "65 years and older"}, "field": "65 years and older"}}, "title": ["Somalia : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The bar chart shows several occupations ranging from athlete to primary school teacher. All of the occupations have some degree not comfortable.

Chart data: Not comfortable Response 0.14 Athlete 0.19 IT technician 0.22 Chef 0.3 Police officer 0.32 Real estate broker/agent 0.33 Camp counselor 0.36 Banker 0.38 Doctor 0.41 Primary school teacher 0.41 Judge 0.42 Presidential candidate

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": "multiColumn/data/2625.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#54a24b"}, "x": {"type": "quantitative", "axis": {"title": "Not comfortable"}, "field": "Not comfortable"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["How comfortable would you be with a person", "with a visible tattoo working in the following", "occupations ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Athletes, chefs and IT technicians are felt to be the careers with which people are most comfortable seeing someone with a tattoo.

Chart data: Not comfortable Response 0.14 Athlete 0.19 IT technician 0.22 Chef 0.3 Police officer 0.32 Real estate broker/agent 0.33 Camp counselor 0.36 Banker 0.38 Doctor 0.41 Primary school teacher 0.41 Judge 0.42 Presidential candidate

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": "multiColumn/data/2625.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#54a24b"}, "x": {"type": "quantitative", "axis": {"title": "Not comfortable"}, "field": "Not comfortable"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["How comfortable would you be with a person", "with a visible tattoo working in the following", "occupations ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2009 to 2019 the age distribution stayed fairly stable.

Chart data: Year 15-64 years Dec 31, 2008 0.73 Dec 31, 2009 0.745 Dec 31, 2010 0.744 Dec 31, 2011 0.741 Dec 31, 2012 0.739 Dec 31, 2013 0.734 Dec 31, 2014 0.73 Dec 31, 2015 0.725 Dec 31, 2016 0.718 Dec 31, 2017 0.712 Dec 31, 2018 0.706

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": "multiColumn/data/262.tsv"}, "mark": "area", "encoding": {"color": {"value": "#9e765f"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "15-64 years"}, "field": "15-64 years"}}, "title": ["Age distribution in China from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of people over the age of 65 has increased steeply in the time frame covered.

Chart data: Year 65 years + Dec 31, 2008 0.085 Dec 31, 2009 0.089 Dec 31, 2010 0.091 Dec 31, 2011 0.094 Dec 31, 2012 0.097 Dec 31, 2013 0.101 Dec 31, 2014 0.105 Dec 31, 2015 0.108 Dec 31, 2016 0.114 Dec 31, 2017 0.119 Dec 31, 2018 0.126

Vega-Lite specification:
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Chart description: Tunisias share of GDP has slowly increased over the last 8 years.

Chart data: Year Services Dec 31, 2007 0.536 Dec 31, 2008 0.5514 Dec 31, 2009 0.5668 Dec 31, 2010 0.5636 Dec 31, 2011 0.5657 Dec 31, 2012 0.5866 Dec 31, 2013 0.5817 Dec 31, 2014 0.5736 Dec 31, 2015 0.5838 Dec 31, 2016 0.5925 Dec 31, 2017 0.5923

Vega-Lite specification:
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Chart description: There is a consistent variation increasing and decreasing each year. Every other year is an increase and vice Versa.

Chart data: Year Labour Dec 31, 1917 0.236 Dec 31, 1921 0.319 Dec 31, 1922 0.355 Dec 31, 1923 0.406 Dec 31, 1928 0.418 Dec 31, 1930 0.32 Dec 31, 1934 0.372 Dec 31, 1944 0.479 Dec 31, 1949 0.462 Dec 31, 1950 0.479 Dec 31, 1954 0.467 Dec 31, 1958 0.467 Dec 31, 1963 0.487 Dec 31, 1965 0.499 Dec 31, 1969 0.445 Jan 31, 1974 0.366 Sep 30, 1974 0.363 Dec 31, 1978 0.415 Dec 31, 1982 0.351 Dec 31, 1986 0.424 Dec 31, 1991 0.39 Dec 31, 1996 0.456 Dec 31, 2000 0.433 Dec 31, 2004 0.389 Dec 31, 2009 0.42 Dec 31, 2014 0.243 Dec 31, 2016 0.271 Dec 31, 2018 0.186

Vega-Lite specification:
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Chart description: The Liberal Democrats 0.4 of the vote share in 1920.After that the vote share steadily fell until it reached well below 0.1. It remained below 0.1 until 1980 when it picked up again to above 0.2. However it has since failed before 0.1 again.

Chart data: Year Liberal Democrats Dec 31, 1917 0.342 Dec 31, 1921 0.393 Dec 31, 1922 0.282 Dec 31, 1923 0.167 Dec 31, 1928 0.181 Dec 31, 1930 0.094 Dec 31, 1934 0.075 Dec 31, 1944 0.056 Dec 31, 1949 0.066 Dec 31, 1950 0.056 Dec 31, 1954 0.019 Dec 31, 1958 0.041 Dec 31, 1963 0.076 Dec 31, 1965 0.068 Dec 31, 1969 0.055 Jan 31, 1974 0.079 Sep 30, 1974 0.083 Dec 31, 1978 0.09 Dec 31, 1982 0.245 Dec 31, 1986 0.192 Dec 31, 1991 0.131 Dec 31, 1996 0.13 Dec 31, 2000 0.163 Dec 31, 2004 0.226 Dec 31, 2009 0.189 Dec 31, 2014 0.075 Dec 31, 2016 0.068 Dec 31, 2018 0.095

Vega-Lite specification:
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Chart description: The SNP has enjoyed strong growth in the percentage share of votes between the 1960s and 2019 with a particularly strong growth from 2005.

Chart data: Year SNP Dec 31, 1917 0 Dec 31, 1921 0 Dec 31, 1922 0 Dec 31, 1923 0 Dec 31, 1928 0.001 Dec 31, 1930 0.01 Dec 31, 1934 0.011 Dec 31, 1944 0.013 Dec 31, 1949 0.004 Dec 31, 1950 0.013 Dec 31, 1954 0.005 Dec 31, 1958 0.008 Dec 31, 1963 0.024 Dec 31, 1965 0.05 Dec 31, 1969 0.114 Jan 31, 1974 0.219 Sep 30, 1974 0.304 Dec 31, 1978 0.173 Dec 31, 1982 0.118 Dec 31, 1986 0.14 Dec 31, 1991 0.215 Dec 31, 1996 0.221 Dec 31, 2000 0.201 Dec 31, 2004 0.177 Dec 31, 2009 0.199 Dec 31, 2014 0.5 Dec 31, 2016 0.369 Dec 31, 2018 0.45

Vega-Lite specification:
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Chart description: Share of votes in general elections in Scotland exponentially increased after 1960, experiencing a dip and eventually burgeoning after 2000.

Chart data: Year SNP Dec 31, 1917 0 Dec 31, 1921 0 Dec 31, 1922 0 Dec 31, 1923 0 Dec 31, 1928 0.001 Dec 31, 1930 0.01 Dec 31, 1934 0.011 Dec 31, 1944 0.013 Dec 31, 1949 0.004 Dec 31, 1950 0.013 Dec 31, 1954 0.005 Dec 31, 1958 0.008 Dec 31, 1963 0.024 Dec 31, 1965 0.05 Dec 31, 1969 0.114 Jan 31, 1974 0.219 Sep 30, 1974 0.304 Dec 31, 1978 0.173 Dec 31, 1982 0.118 Dec 31, 1986 0.14 Dec 31, 1991 0.215 Dec 31, 1996 0.221 Dec 31, 2000 0.201 Dec 31, 2004 0.177 Dec 31, 2009 0.199 Dec 31, 2014 0.5 Dec 31, 2016 0.369 Dec 31, 2018 0.45

Vega-Lite specification:
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Chart description: The highest response for pet ownership in 2016 for the bird market was Turkey (0.20), followed by Spain (0.12) and Russia (0.09). Belgium, Czech Republic, and Italy exhibited a similar response (0.07). Sweden showed the least response.

Chart data: Bird Response 0.04 United Kingdom 0.2 Turkey 0.03 Sweden 0.11 Spain 0.09 Russia 0.07 Poland 0.07 Netherlands 0.08 Belgium 0.08 Czech Republic 0.05 France 0.06 Germany 0.08 Italy

Vega-Lite specification:
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Chart description: Sweden is the country with the smallest amount of birds pet ownership. Turkey is the country with the highest amount of birds as pets in Europe. Most countries in Europe have an average of  0.05 bird pets ownership.

Chart data: Bird Response 0.04 United Kingdom 0.2 Turkey 0.03 Sweden 0.11 Spain 0.09 Russia 0.07 Poland 0.07 Netherlands 0.08 Belgium 0.08 Czech Republic 0.05 France 0.06 Germany 0.08 Italy

Vega-Lite specification:
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Chart description: General business studies is most popular among young males.

Chart data: The most popular college majors Male students Business Management and Administration 0.56 General Business 0.61 Accounting 0.48 Nursing 0.08 Psychology 0.29 Elementary Education 0.09 Marketing and Market Research 0.49 General Education 0.24 English Language and Literature 0.33 Communications 0.42

Vega-Lite specification:
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Chart description: General Business was the most popular college major in 2009 among males, closely followed by Business Management and Admin. Nursing was the least popular college major in 2009, closely followed by Elementary Education.

Chart data: The most popular college majors Male students Business Management and Administration 0.56 General Business 0.61 Accounting 0.48 Nursing 0.08 Psychology 0.29 Elementary Education 0.09 Marketing and Market Research 0.49 General Education 0.24 English Language and Literature 0.33 Communications 0.42

Vega-Lite specification:
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Chart description: Urban increases March 2019 and March 2020. Urban is highest in March 2020.

Chart data: Month Urban Feb 28, 2019 165.3 Mar 31, 2019 165.7 Apr 30, 2019 166.2 May 31, 2019 166.6 Jun 30, 2019 167.2 Jul 31, 2019 167.9 Aug 31, 2019 168.6 Sep 30, 2019 169.3 Oct 31, 2019 169.9 Nov 30, 2019 170.4 Dec 31, 2019 170.8 Jan 31, 2020 172 Feb 29, 2020 173.3

Vega-Lite specification:
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Chart description: This is a bar graph is that’s clarifying a deficit or increase in profits, specifically in relation to the  `` Big five '' European football league clubs during the seasons  2009 to 2019, measured in  million’s of euros.

Chart data: Year Italy 2018/19 −36 2017/18 54 2016/17 30 2015/16 −40 2014/15 −133 2013/14 −143 2012/13 −53 2011/12 −160 2010/11 −149 2009/10 −110 2008/09 −116

Vega-Lite specification:
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Chart description: In 2012/13 the profit of Big five was the lowest. In 2018/19 the profit was the highest. After 2016/17 the profit increased.

Chart data: Year France 2018/19 −306 2017/18 −298 2016/17 −43 2015/16 −98 2014/15 −35 2013/14 −140 2012/13 −3 2011/12 −67 2010/11 −97 2009/10 −102 2008/09 −64

Vega-Lite specification:
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Chart description: January sales was the lowest at 21 with December being the peak at 50.

Chart data: Month 2015 De  48.13; Month: Dec No  36.59; Month: Nov Oc  26.55; Month: Oct Se  28.01; Month: Sep Au  35.9; Month: Aug Ju  29.25; Month: Jul Ju  28.4; Month: Jun Ma  28.42; Month: May Ap  25.31; Month: Apr Ma  23.59; Month: Mar Fe  21.85; Month: Feb Ja  21.41; Month: Jan

Vega-Lite specification:
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Chart description: The sales of luggage were significantly higher in December than the rest of the year.

Chart data: Month 2016 De  48.85; Month: Dec No  35.61; Month: Nov Oc  28.25; Month: Oct Se  26.24; Month: Sep Au  35.73; Month: Aug Ju  31.78; Month: Jul Ju  28.46; Month: Jun Ma  29.4; Month: May Ap  25.79; Month: Apr Ma  23.35; Month: Mar Fe  21.33; Month: Feb Ja  22.2; Month: Jan

Vega-Lite specification:
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