delen/vistext huggingface dataset:
Chart description: In 2009 there were nearly 1000 homocide cases in Taiwan. The number durastically reduced to until 2013 where there was a very slight increase, it then continued to drop quite steadily, in 2015 it went to less than 500 and I’m 2018 was at its lowest of 400 cases.

Chart data: Year Number of cases Dec 31, 2008 935 Dec 31, 2009 833 Dec 31, 2010 795 Dec 31, 2011 743 Dec 31, 2012 551 Dec 31, 2013 561 Dec 31, 2014 522 Dec 31, 2015 465 Dec 31, 2016 451 Dec 31, 2017 379 Dec 31, 2018 378

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/10327.tsv"}, "mark": "line", "encoding": {"color": {"value": "#744EC2"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of cases"}, "field": "Number of cases"}}, "title": ["Number of homicide cases in Taiwan from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Sales of cut flowers in canada has stayed fairly steady over the reported time period (2010 to 2018). There was a peak in 2013-2014 of 150 million canadian dollars, followed by a slight downward trend up to 2017 reaching  low of approx 125 million. Overall the figures stayed between 125 million and 150 million throughout the study period.

Chart data: Year Sales in million Canadian dollars Dec 31, 2009 132.64 Dec 31, 2010 140.96 Dec 31, 2011 143.4 Dec 31, 2012 149.61 Dec 31, 2013 150.1 Dec 31, 2014 146.56 Dec 31, 2015 140.09 Dec 31, 2016 127.81 Dec 31, 2017 133.22 Dec 31, 2018 133.55

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": "data/10338.tsv"}, "mark": "line", "encoding": {"color": {"value": "#b96db8"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Sales in million Canadian dollars"}, "field": "Sales in million Canadian dollars"}}, "title": ["Sales of cut flowers in Canada from 2010", "to 2019 (in million Canadian dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Expenditures are gradually increasing throughout the years shown. Between 2012 and 2014 there was less of an increase as opposed to other ranges.

Chart data: Year Expenditure in thousand U.S. dollars Dec 31, 2007 1.57 Dec 31, 2008 1.7 Dec 31, 2009 1.89 Dec 31, 2010 1.98 Dec 31, 2011 2.08 Dec 31, 2012 2.13 Dec 31, 2013 2.24 Dec 31, 2014 2.49 Dec 31, 2015 2.68 Dec 31, 2016 2.87 Dec 31, 2017 3.19

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/10339.tsv"}, "mark": "line", "encoding": {"color": {"value": "#cccccc"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Expenditure in thousand U.S. dollars"}, "field": "Expenditure in thousand U\\.S\\. dollars"}}, "title": ["Annual expenditure on health per capita", "in South Korea from 2008 to 2018 (in 1,000", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: sharp decrease in 2008 then steadily declining from 400 to 250 deaths from 2008 to 2018.

Chart data: Year Number of fatalities Dec 31, 2005 608 Dec 31, 2006 661 Dec 31, 2007 606 Dec 31, 2008 384 Dec 31, 2009 353 Dec 31, 2010 325 Dec 31, 2011 352 Dec 31, 2012 251 Dec 31, 2013 295 Dec 31, 2014 310 Dec 31, 2015 275 Dec 31, 2016 276 Dec 31, 2017 260 Dec 31, 2018 270

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/10355.tsv"}, "mark": "area", "encoding": {"color": {"value": "#333333"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Number of fatalities"}, "field": "Number of fatalities"}}, "title": ["Number of road traffic fatalities in Slovakia", "from 2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Thailand's budget dipped sharply into deficit in 2020. Thailand's massive deficit lasted two years. In the aftermath of Thailand's budget deficit, Thailand's budget balance did not recover significantly within the following five years. In the three years following Thailand's budget balance deficit, there was no increase in recovery after the initial rebound.

Chart data: Year Budget balance in relation to GDP 2025* −0.0189 2024* −0.0192 2023* −0.0193 2022* −0.0175 2021* −0.0492 2020* −0.0521 2019 −0.0082 2018 0.0006 2017 −0.0043 2016 0.0057 2015 0.0013

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/10363.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Budget balance in relation to GDP"}, "field": "Budget balance in relation to GDP"}}, "title": ["Thailand : Budget balance between 2015 to", "2025 in relation to GDP"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall, infant mortality rates have declined from 9 per 1000 live births in 2009, to approximately 6 per 1000 live births in 2019.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 9.3 Dec 31, 2009 8.8 Dec 31, 2010 8.4 Dec 31, 2011 8 Dec 31, 2012 7.7 Dec 31, 2013 7.4 Dec 31, 2014 7.1 Dec 31, 2015 6.8 Dec 31, 2016 6.6 Dec 31, 2017 6.4 Dec 31, 2018 6.2

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/10367.tsv"}, "mark": "area", "encoding": {"color": {"value": "#D64550"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Lebanon : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Quite a flat line of data, slightly increasing 2010/2011difficult to read due to the colour.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.5047 Dec 31, 2009 0.5096 Dec 31, 2010 0.5115 Dec 31, 2011 0.5105 Dec 31, 2012 0.5095 Dec 31, 2013 0.5085 Dec 31, 2014 0.5075 Dec 31, 2015 0.5065 Dec 31, 2016 0.5055 Dec 31, 2017 0.5048 Dec 31, 2018 0.5043

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/10379.tsv"}, "mark": "line", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of urban population in total population"}, "field": "Share of urban population in total population"}}, "title": ["Uzbekistan : Urbanization from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the period shown there is very little change in the share of urban population.  In the period shown the share of urban population is almost exactly 0.5 throughout.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.5047 Dec 31, 2009 0.5096 Dec 31, 2010 0.5115 Dec 31, 2011 0.5105 Dec 31, 2012 0.5095 Dec 31, 2013 0.5085 Dec 31, 2014 0.5075 Dec 31, 2015 0.5065 Dec 31, 2016 0.5055 Dec 31, 2017 0.5048 Dec 31, 2018 0.5043

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/10379.tsv"}, "mark": "line", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of urban population in total population"}, "field": "Share of urban population in total population"}}, "title": ["Uzbekistan : Urbanization from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of employees started off below 100 (in 1000s) at the beginning of 2006. It then peaked in 2012 with just under 120 (in 1000s). After that it was a steady decline to its first point of around 100 (in 1000s).  Then has been a slow increase since to 2018.

Chart data: Year Number of employees in thousands Dec 31, 2005 94.6 Dec 31, 2006 101.3 Dec 31, 2007 106.5 Dec 31, 2008 99.4 Dec 31, 2009 98.6 Dec 31, 2010 113.6 Dec 31, 2011 127.8 Dec 31, 2012 122.5 Dec 31, 2013 115.6 Dec 31, 2014 110.8 Dec 31, 2015 99.5 Dec 31, 2016 96 Dec 31, 2017 101.5 Dec 31, 2018 103.4

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "data/1037.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ad494a"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of employees in thousands"}, "field": "Number of employees in thousands"}}, "title": ["Average number of Caterpillar employees", "worldwide from FY 2006 to FY 2019 (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart is showing a trend of decreasing number of hospital beds in the UK since the year 2000. Especially big decrease happened between year 2009 and 2010. The number of hospital beds from the year 2000 has dropped by over 70.000 by the year 2019 leaving the total number at around 170.000.

Chart data: Year Number of beds 2019*** 163873 2018** 165844 2017 167589 2016 168934 2015 169995 2014 176324 2013 176791 2012 178841 2011 181972 2010 * 183849 2009 203326 2008 205976 2007 207789 2006 215513 2005 224882 2004 231399 2003 235512 2002 236205 2001 238641 2000 240144

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/1038.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f1e2cc"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of beds"}, "field": "Number of beds"}}, "title": ["Annual number of hospital beds in the United", "Kingdom (UK) from 2000 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was the highest number of beds in 2000. The number of beds is smaller by over 50000 in 2019 than it was in 2000. Between 2000 and 2009 there were over 200 000 beds. Between 2010 and 2019 were over 150 000 beds but much less than 200 000. The biggest fall in a number of beds was between 2009 and 2010.

Chart data: Year Number of beds 2019*** 163873 2018** 165844 2017 167589 2016 168934 2015 169995 2014 176324 2013 176791 2012 178841 2011 181972 2010 * 183849 2009 203326 2008 205976 2007 207789 2006 215513 2005 224882 2004 231399 2003 235512 2002 236205 2001 238641 2000 240144

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/1038.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f1e2cc"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of beds"}, "field": "Number of beds"}}, "title": ["Annual number of hospital beds in the United", "Kingdom (UK) from 2000 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The value of onions, shallots and leeks imported to the UK has increased significantly from 2001 to 2019.

Chart data: Year Import value in thousand GBP Dec 31, 2000 76130 Dec 31, 2001 91347 Dec 31, 2002 96607 Dec 31, 2003 97379 Dec 31, 2004 97035 Dec 31, 2005 119177 Dec 31, 2006 161808 Dec 31, 2007 153968 Dec 31, 2008 147950 Dec 31, 2009 199329 Dec 31, 2010 203775 Dec 31, 2011 149087 Dec 31, 2012 214449 Dec 31, 2013 188428 Dec 31, 2014 188444 Dec 31, 2015 228030 Dec 31, 2016 197835 Dec 31, 2017 225513 Dec 31, 2018 293448

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": "data/10400.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Import value in thousand GBP"}, "field": "Import value in thousand GBP"}}, "title": ["Value of onions , shallots , garlic and", "leeks imported to the United Kingdom (UK)", "from 2001 to 2019 (in 1,000 GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The value appears to have peaks and troughs throughout the years.

Chart data: Year Import value in thousand GBP Dec 31, 2000 76130 Dec 31, 2001 91347 Dec 31, 2002 96607 Dec 31, 2003 97379 Dec 31, 2004 97035 Dec 31, 2005 119177 Dec 31, 2006 161808 Dec 31, 2007 153968 Dec 31, 2008 147950 Dec 31, 2009 199329 Dec 31, 2010 203775 Dec 31, 2011 149087 Dec 31, 2012 214449 Dec 31, 2013 188428 Dec 31, 2014 188444 Dec 31, 2015 228030 Dec 31, 2016 197835 Dec 31, 2017 225513 Dec 31, 2018 293448

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": "data/10400.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Import value in thousand GBP"}, "field": "Import value in thousand GBP"}}, "title": ["Value of onions , shallots , garlic and", "leeks imported to the United Kingdom (UK)", "from 2001 to 2019 (in 1,000 GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a general decline in number of children born per woman between 2008 to 2018. As of 2018, the number of children born per woman is at the lowest it has been within the last decade.

Chart data: Year Number of born children per woman Dec 31, 2007 3.29 Dec 31, 2008 3.24 Dec 31, 2009 3.18 Dec 31, 2010 3.12 Dec 31, 2011 3.06 Dec 31, 2012 2.98 Dec 31, 2013 2.89 Dec 31, 2014 2.81 Dec 31, 2015 2.72 Dec 31, 2016 2.64 Dec 31, 2017 2.58

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "data/10401.tsv"}, "mark": "line", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of born children per woman"}, "field": "Number of born children per woman"}}, "title": ["Philippines : Fertility rate from 2008 to", "2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the last 10 years Libya had seen the number of child deaths decreases by a 3rd over the 10 year period down here.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 15.1 Dec 31, 2009 14.2 Dec 31, 2010 13.9 Dec 31, 2011 12.9 Dec 31, 2012 12.4 Dec 31, 2013 11.8 Dec 31, 2014 11.4 Dec 31, 2015 11 Dec 31, 2016 10.6 Dec 31, 2017 10.2 Dec 31, 2018 9.9

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": "data/10404.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Libya : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Libya’s infant mortality rate has been steadily declining between 2010 and 2018. The decline in Libya’s infant mortality rate within that time is around 5 live births out of 1000 no longer resulting in death. There was a slight plateau in 2011, with a sharp decline into 2012 of infant mortality rate in Libya.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 15.1 Dec 31, 2009 14.2 Dec 31, 2010 13.9 Dec 31, 2011 12.9 Dec 31, 2012 12.4 Dec 31, 2013 11.8 Dec 31, 2014 11.4 Dec 31, 2015 11 Dec 31, 2016 10.6 Dec 31, 2017 10.2 Dec 31, 2018 9.9

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": "data/10404.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Libya : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a higher number of deaths per 1,000 live births in 2010, than there was in 2018.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 21.1 Dec 31, 2009 20.2 Dec 31, 2010 19.5 Dec 31, 2011 18.7 Dec 31, 2012 18 Dec 31, 2013 17.3 Dec 31, 2014 16.6 Dec 31, 2015 16 Dec 31, 2016 15.4 Dec 31, 2017 14.9 Dec 31, 2018 14.3

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/10405.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Nicaragua : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This area diagram shows a steady decrease in infant deaths in Nicaragua over ten years.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 21.1 Dec 31, 2009 20.2 Dec 31, 2010 19.5 Dec 31, 2011 18.7 Dec 31, 2012 18 Dec 31, 2013 17.3 Dec 31, 2014 16.6 Dec 31, 2015 16 Dec 31, 2016 15.4 Dec 31, 2017 14.9 Dec 31, 2018 14.3

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/10405.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Nicaragua : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the area graph shows that youth unemployment has been going up and down between 1999 and 2020. It hit a low in around 2007, and since then has been steadily increasing, hitting a peak in approximately 2014 before going down again.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.2252 Dec 31, 1999 0.2091 Dec 31, 2000 0.2302 Dec 31, 2001 0.2306 Dec 31, 2002 0.2594 Dec 31, 2003 0.2301 Dec 31, 2004 0.2187 Dec 31, 2005 0.2106 Dec 31, 2006 0.1865 Dec 31, 2007 0.2014 Dec 31, 2008 0.242 Dec 31, 2009 0.2583 Dec 31, 2010 0.2698 Dec 31, 2011 0.2878 Dec 31, 2012 0.2928 Dec 31, 2013 0.3331 Dec 31, 2014 0.3206 Dec 31, 2015 0.2888 Dec 31, 2016 0.2924 Dec 31, 2017 0.2844 Dec 31, 2018 0.3022 Dec 31, 2019 0.3158

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "data/10415.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d365ba"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Youth unemployment rate"}, "field": "Youth unemployment rate"}}, "title": ["Barbados : Youth unemployment rate from", "1999 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: '@Charlidamelio has the most followers on TikTok. The most popular influences all have over 20million subscribers.

Chart data: Number of followers in millions Wikimedia list article 72.5 @charlidamelio 51.2 @addisonre 45.9 @zachking 45.6 @lorengray 38.6 @spencerx 34.4 @babyariel 34.5 @justmaiko 30.9 @willsmith 30.6 @brentrivera 29.2 @jasonderulo

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": "data/10418.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Number of followers in millions"}, "field": "Number of followers in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Wikimedia list article"}}, "title": ["Most popular influencers on TikTok from", "the United States as of July 2020 , by number", "of followers (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a clear favourite which is charlidamello. After them there are three below who are fairly equal. The remainder are below and also at a fairly equal number.

Chart data: Number of followers in millions Wikimedia list article 72.5 @charlidamelio 51.2 @addisonre 45.9 @zachking 45.6 @lorengray 38.6 @spencerx 34.4 @babyariel 34.5 @justmaiko 30.9 @willsmith 30.6 @brentrivera 29.2 @jasonderulo

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": "data/10418.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Number of followers in millions"}, "field": "Number of followers in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Wikimedia list article"}}, "title": ["Most popular influencers on TikTok from", "the United States as of July 2020 , by number", "of followers (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Looking at the Line chart I can see that there is an upwards trend in revenue from 2006 to 2018. I can clearly see that from 2014 revenue started to sore but were steadily rising every year.

Chart data: Year Revenue in billion U.S. dollars Dec 31, 2005 24.89 Dec 31, 2006 26.14 Dec 31, 2007 26.74 Dec 31, 2008 26.48 Dec 31, 2009 26.5 Dec 31, 2010 27.15 Dec 31, 2011 27.9 Dec 31, 2012 28 Dec 31, 2013 28.46 Dec 31, 2014 29.88 Dec 31, 2015 31.2 Dec 31, 2016 32.4 Dec 31, 2017 33.7

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/10419.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Revenue in billion U.S. dollars"}, "field": "Revenue in billion U\\.S\\. dollars"}}, "title": ["Revenue of the Indian gaming industry in", "the United States from 2006 to 2018 (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Uber, Lyft and Delivery Hero are the only companies to have a market cap over 20,000 million dollars.  Of these, Uber and Lyft have the greatest market caps at over 50,000 million dollars and over 60,000 million dollars respectively. Redbubble, Truecar and Gruppo MutuiOnline have the lowest market caps with only a tiny bar showing on the graph, reaching just a tiny amount above the 0 baseline.

Chart data: Market cap in million U.S. dollars business 63936 Uber (United States) 53810 Mercado Libre (Argentina) 22946 Delivery Hero (Germany) 16725 Takeaway.com (Netherlands) 15488 Carvana (United States) 14514 Etsy (United States) 8598 Lyft (United States) 6674 GrubHub (United States) 5401 Kakaku.com (Japan) 2444 CarGurus (United States) 1854 Moneysupermarket.com (United Kingdom) 1047 Gruppo MutuiOnline (Italy) 794 Redbubble (Australia) 540 TrueCar (United States)

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": "data/10426.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Market cap in million U.S. dollars"}, "field": "Market cap in million U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "business"}}, "title": ["Market cap of leading online marketplaces", "worldwide as of September 2020 (in million", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: American Indian or Alaska Native has the youngest mean age and Asian, Non Hispanic has the highest mean age.

Chart data: ethnic group Mean age Asian, non-Hispanic 30.5 White, non-Hispanics 27.7 Cuban-Hispanics 27.7 All origins 26.9 Central and South American-Hispanics 26.5 Dominican-Hispanic 25.8 Black, non-Hispanics 25.1 All Hispanic 25 Puerto Rican-Hispanics 24.8 Native Hawaiian or Pacific Islander, non-Hispanic 24.7 Other and unknown Hispanics 24.7 Mexican-Hispanics 24.4 American Indian or Alaska Native, non-Hispanic 23.5

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/10427.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "ethnic group"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Mean age"}, "field": "Mean age"}}, "title": ["Mean age of mothers at first birth in the", "United States in 2018 , by Hispanic origin"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Burkina Faso is the country with the lowest literacy rate with just under 30% of the over 15 population able to read.

Chart data: Percentage of population aged 15 and over Response 0.29 Burkina Faso 0.33 Mali 0.35 Chad 0.39 Ethiopia 0.41 Guinea 0.42 Benin 0.43 Sierra Leone 0.49 Haiti (2006-2013) 0.5 Senegal 0.51 Gambia 0.55 Guinea-Bissau 0.56 Mozambique 0.57 Central African Republic 0.57 Nepal

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": "data/10428.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#52689e"}, "x": {"type": "quantitative", "axis": {"title": "Percentage of population aged 15 and over"}, "field": "Percentage of population aged 15 and over"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Countries with the lowest literacy rates", "worldwide as of 2012"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Los Angeles Clippers highest point leader is Randy Smith at 12.5,000points. Blake griffin was the next highest point leader at 11,000 points. The lowest point leader is Ken Norman.

Chart data: human Points scored Randy Smith 12735 Blake Griffin 10863 Bob McAdoo 9434 Elton Brand 9336 Corey Maggette 8835 Chris Paul 7674 Danny Manning 7120 DeAndre Jordan 7078 Loy Vaught 6614 Ken Norman 6432

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/10432.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d67195"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "human"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Points scored"}, "field": "Points scored"}}, "title": ["Los Angeles Clippers all-time points leaders", "from 1970 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}