delen/vistext huggingface dataset:
Chart description: Digital advertising revenue in India has increased steadily from 10 billion Indian rupees in 2008 to 200 billion rupees in 2020. Revenue is forecast to increase at a similar rate to 300 billion rupees in 2022,.

Chart data: Fianncial year Revenue in billion Indian rupees FY 2022 292 FY 2021 223 FY 2020 199 FY 2019 160 FY 2018 116 FY 2017 86 FY 2016 65 FY 2015 47 FY 2014 32.5 FY 2013 30.1 FY 2012 21.7 FY 2011 15.4 FY 2010 10 FY 2009 8 FY 2008 6

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": "data/3884.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e6ab02"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Fianncial year"}, "y": {"type": "quantitative", "axis": {"title": "Revenue in billion Indian rupees"}, "field": "Revenue in billion Indian rupees"}}, "title": ["Digital advertising revenue in India from", "financial year 2008 to 2020 with a forecast", "until financial year 2022 (in billion Indian", "rupees)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As the financial years progressed, the revenue in billion indian rupees increased at an exponential rate.

Chart data: Fianncial year Revenue in billion Indian rupees FY 2022 292 FY 2021 223 FY 2020 199 FY 2019 160 FY 2018 116 FY 2017 86 FY 2016 65 FY 2015 47 FY 2014 32.5 FY 2013 30.1 FY 2012 21.7 FY 2011 15.4 FY 2010 10 FY 2009 8 FY 2008 6

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": "data/3884.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e6ab02"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Fianncial year"}, "y": {"type": "quantitative", "axis": {"title": "Revenue in billion Indian rupees"}, "field": "Revenue in billion Indian rupees"}}, "title": ["Digital advertising revenue in India from", "financial year 2008 to 2020 with a forecast", "until financial year 2022 (in billion Indian", "rupees)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The unemployment rate in Austria has varied between 1999 and 2020 between a low of 0.04 to a high of 0.06.

Chart data: Year Unemployment rate Dec 31, 1998 0.047 Dec 31, 1999 0.0469 Dec 31, 2000 0.0401 Dec 31, 2001 0.0485 Dec 31, 2002 0.0478 Dec 31, 2003 0.0583 Dec 31, 2004 0.0563 Dec 31, 2005 0.0524 Dec 31, 2006 0.0486 Dec 31, 2007 0.0413 Dec 31, 2008 0.053 Dec 31, 2009 0.0482 Dec 31, 2010 0.0456 Dec 31, 2011 0.0487 Dec 31, 2012 0.0533 Dec 31, 2013 0.0562 Dec 31, 2014 0.0572 Dec 31, 2015 0.0601 Dec 31, 2016 0.055 Dec 31, 2017 0.0485 Dec 31, 2018 0.0467 Dec 31, 2019 0.0478

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/3885.tsv"}, "mark": "line", "encoding": {"color": {"value": "#83bcb6"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Unemployment rate"}, "field": "Unemployment rate"}}, "title": ["Austria : Unemployment rate from 1999 to", "2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Unemployment rates in Austria greatly fluctuate between 1999 to 2020, but remain between 0.04 and 0.06.

Chart data: Year Unemployment rate Dec 31, 1998 0.047 Dec 31, 1999 0.0469 Dec 31, 2000 0.0401 Dec 31, 2001 0.0485 Dec 31, 2002 0.0478 Dec 31, 2003 0.0583 Dec 31, 2004 0.0563 Dec 31, 2005 0.0524 Dec 31, 2006 0.0486 Dec 31, 2007 0.0413 Dec 31, 2008 0.053 Dec 31, 2009 0.0482 Dec 31, 2010 0.0456 Dec 31, 2011 0.0487 Dec 31, 2012 0.0533 Dec 31, 2013 0.0562 Dec 31, 2014 0.0572 Dec 31, 2015 0.0601 Dec 31, 2016 0.055 Dec 31, 2017 0.0485 Dec 31, 2018 0.0467 Dec 31, 2019 0.0478

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/3885.tsv"}, "mark": "line", "encoding": {"color": {"value": "#83bcb6"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Unemployment rate"}, "field": "Unemployment rate"}}, "title": ["Austria : Unemployment rate from 1999 to", "2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The unemployment rate in Austria has fluctuated from 4% to 6% over the period 2000 to 2020. Lowest was 4% around 2001 and again around 2008, with highest being almost 6% around 2004 and then 6% around 2016. After 2016 the rate fell every year to around 4.75% in 2019 but the latest figures show a very slight rise.

Chart data: Year Unemployment rate Dec 31, 1998 0.047 Dec 31, 1999 0.0469 Dec 31, 2000 0.0401 Dec 31, 2001 0.0485 Dec 31, 2002 0.0478 Dec 31, 2003 0.0583 Dec 31, 2004 0.0563 Dec 31, 2005 0.0524 Dec 31, 2006 0.0486 Dec 31, 2007 0.0413 Dec 31, 2008 0.053 Dec 31, 2009 0.0482 Dec 31, 2010 0.0456 Dec 31, 2011 0.0487 Dec 31, 2012 0.0533 Dec 31, 2013 0.0562 Dec 31, 2014 0.0572 Dec 31, 2015 0.0601 Dec 31, 2016 0.055 Dec 31, 2017 0.0485 Dec 31, 2018 0.0467 Dec 31, 2019 0.0478

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/3885.tsv"}, "mark": "line", "encoding": {"color": {"value": "#83bcb6"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Unemployment rate"}, "field": "Unemployment rate"}}, "title": ["Austria : Unemployment rate from 1999 to", "2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In Luxembourg there are significantly more individuals within the 30-39 category than there is of those 75+. The steady around 30,000 inhabitants that are in each of the three children categories from 0-19 shows a steady number in the amount of babies being born.

Chart data: Number of inhabitants Year 32982 0-4 years 33994 5-9 years 33101 10-14 years 33331 15-19 years 38540 20-24 years 47573 25-29 years 49433 30-34 years 49151 35-39 years 47058 40-44 years 46134 45-49 years 47000 50-54 years 42549 55-59 years 34475 60-64 years 27510 65-69 years 22060 70-74 years 16292 75-79 years 12668 80-84 years 8006 85-89 years 3409 90-94 years 842 95 years and older

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/3897.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "quantitative", "axis": {"title": "Number of inhabitants"}, "field": "Number of inhabitants"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}}, "title": ["Population of Luxembourg in 2020 , by age"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The majority of the population is between 25-50. There are less people over the age of 95 than in any other age bracket.

Chart data: Number of inhabitants Year 32982 0-4 years 33994 5-9 years 33101 10-14 years 33331 15-19 years 38540 20-24 years 47573 25-29 years 49433 30-34 years 49151 35-39 years 47058 40-44 years 46134 45-49 years 47000 50-54 years 42549 55-59 years 34475 60-64 years 27510 65-69 years 22060 70-74 years 16292 75-79 years 12668 80-84 years 8006 85-89 years 3409 90-94 years 842 95 years and older

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/3897.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "quantitative", "axis": {"title": "Number of inhabitants"}, "field": "Number of inhabitants"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}}, "title": ["Population of Luxembourg in 2020 , by age"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Players spent significantly more playing time on League of Legends than any other game. Call of Duty: Black Ops III had the least playing time.

Chart data: Response Share of playing time League of Legends 0.2292 Counter-Strike: Global Offensive 0.0688 Fallout 4 0.0578 DOTA 2 0.0509 World of Warcraft 0.0482 World of Tanks 0.0348 Hearthstone: Heroes of Warcraft 0.0214 Minecraft 0.0197 Smite 0.013 Grand Theft Auto V 0.0129 Heroes of the Storm 0.0116 ARK: Survival Evolved 0.0115 Guild Wars 2 0.0112 Star Wars:The Old Republic 0.011 Diablo III 0.0108 StarCraft II 0.0104 Spider Solitaire 0.0089 Battlefield 4 0.008 Final Fantasy XIV Online 0.0073 Call of Duty: Black Ops III 0.0072

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/38.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#8c6d31"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Share of playing time"}, "field": "Share of playing time"}}, "title": ["Most played PC games on gaming platform", "Raptr in November 2015 , by share of playing", "time"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest rate of unemployment is in 2005 the lowest rates are in 2007 and 2013.

Chart data: Year Unemployment rate Dec 31, 1998 0.1251 Dec 31, 1999 0.1293 Dec 31, 2000 0.1352 Dec 31, 2001 0.1421 Dec 31, 2002 0.1484 Dec 31, 2003 0.1538 Dec 31, 2004 0.159 Dec 31, 2005 0.1285 Dec 31, 2006 0.1018 Dec 31, 2007 0.0793 Dec 31, 2008 0.1051 Dec 31, 2009 0.1319 Dec 31, 2010 0.1034 Dec 31, 2011 0.0785 Dec 31, 2012 0.0862 Dec 31, 2013 0.0934 Dec 31, 2014 0.1011 Dec 31, 2015 0.1088 Dec 31, 2016 0.1163 Dec 31, 2017 0.115 Dec 31, 2018 0.1143 Dec 31, 2019 0.1141

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/3908.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b279a2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Unemployment rate"}, "field": "Unemployment rate"}}, "title": ["Zambia : Unemployment rate from 1999 to", "2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Revenue of the Los Angeles Clippers between 2001 and 2019 has increased dramatically.

Chart data: Revenue in million U.S. dollars Year 282 18/19 258 17/18 257 16/17 185 15/16 176 14/15 146 13/14 128 12/13 108 11/12 108 10/11 102 09/10 102 08/09 99 07/08 98 06/07 95 05/06 83 04/05 77 03/04 72 02/03 73 01/02

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/3909.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}}, "title": ["Revenue of the Los Angeles Clippers from", "2001/02 to 2018/19 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall the attendance as reduced from over 60,000 in 2008 to just under 50,000 in 2018.

Chart data: Year Average attendance Dec 31, 2007 64582 Dec 31, 2008 64004 Dec 31, 2009 60364 Dec 31, 2010 49251 Dec 31, 2011 61188 Dec 31, 2012 63297 Dec 31, 2013 60703 Dec 31, 2014 61389 Dec 31, 2015 63509 Dec 31, 2016 53275 Dec 31, 2017 50753 Dec 31, 2018 47179

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/3916.tsv"}, "mark": "area", "encoding": {"color": {"value": "#8b8b8b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Average attendance"}, "field": "Average attendance"}}, "title": ["Cincinnati Bengals average regular season", "home attendance from 2008 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a peak in the price of silver at $20 per ounce in the 1980s. It then dropped to $5 per ounce until the mid-2000s. It then rose until the price peaked at $35 in 2010. It then dropped again to around $17 per ounce.

Chart data: Year Price in U.S. dollars per ounce Dec 31, 1974 4.43 Dec 31, 1979 20.98 Dec 31, 1984 6.13 Dec 31, 1989 4.83 Dec 31, 1994 5.2 Dec 31, 1999 4.95 Dec 31, 2000 4.37 Dec 31, 2001 4.6 Dec 31, 2002 4.85 Dec 31, 2003 6.65 Dec 31, 2004 7.22 Dec 31, 2005 11.57 Dec 31, 2006 13.39 Dec 31, 2007 15.02 Dec 31, 2008 14.66 Dec 31, 2009 20.16 Dec 31, 2010 35.12 Dec 31, 2011 31.15 Dec 31, 2012 23.79 Dec 31, 2013 19.08 Dec 31, 2014 15.68 Dec 31, 2015 17.14 Dec 31, 2016 17.05 Dec 31, 2017 15.71 Dec 31, 2018 16.21

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": "data/3919.tsv"}, "mark": "area", "encoding": {"color": {"value": "#66a61e"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Price in U.S. dollars per ounce"}, "field": "Price in U\\.S\\. dollars per ounce"}}, "title": ["Average London fix price of silver from", "1975 to 2019 (in U.S. dollars per ounce)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The total fertility rate in the United Kingdom was higher in 1850 than it was in 2020.

Chart data: Year Fertility rate Dec 31, 1799 4.97 Dec 31, 1804 5.34 Dec 31, 1809 5.39 Dec 31, 1814 5.53 Dec 31, 1819 5.56 Dec 31, 1824 5.52 Dec 31, 1829 5.07 Dec 31, 1834 4.86 Dec 31, 1839 4.85 Dec 31, 1844 4.82 Dec 31, 1849 4.76 Dec 31, 1854 4.88 Dec 31, 1859 4.89 Dec 31, 1864 4.93 Dec 31, 1869 4.91 Dec 31, 1874 4.91 Dec 31, 1879 4.85 Dec 31, 1884 4.54 Dec 31, 1889 4.18 Dec 31, 1894 3.9 Dec 31, 1899 3.63 Dec 31, 1904 3.4 Dec 31, 1909 3.13 Dec 31, 1914 2.84 Dec 31, 1919 2.42 Dec 31, 1924 2.4 Dec 31, 1929 2.01 Dec 31, 1934 1.79 Dec 31, 1939 1.8 Dec 31, 1944 2 Dec 31, 1949 2.38 Dec 31, 1954 2.18 Dec 31, 1959 2.49 Dec 31, 1964 2.81 Dec 31, 1969 2.57 Dec 31, 1974 2.01 Dec 31, 1979 1.73 Dec 31, 1984 1.78 Dec 31, 1989 1.84 Dec 31, 1994 1.78 Dec 31, 1999 1.74 Dec 31, 2004 1.66 Dec 31, 2009 1.86 Dec 31, 2014 1.87 Dec 31, 2019 1.75

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#3e5c69"}, "line": {"stroke": "#3e5c69"}, "rect": {"fill": "#3e5c69"}, "bar": {"fill": "#3e5c69"}, "point": {"color": "#3e5c69"}, "axis": {"domainWidth": 0.5, "grid": true, "labelPadding": 2, "tickSize": 5, "tickWidth": 0.5, "titleFontWeight": "normal"}, "axisBand": {"grid": false}, "axisX": {"gridWidth": 0.2}, "axisY": {"gridDash": [3], "gridWidth": 0.4}, "legend": {"labelFontSize": 11, "padding": 1, "symbolType": "square"}, "range": {"category": ["#3e5c69", "#6793a6", "#182429", "#0570b0", "#3690c0", "#74a9cf", "#a6bddb", "#e2ddf2"]}}, "data": {"url": "data/3920.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Fertility rate"}, "field": "Fertility rate"}}, "title": ["Total fertility rate in the United Kingdom", "from 1800 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: English breakfast tea is overwhelmingly the highest value by a factor of more than double.  Most other selections are broadly equal.  Those alphabetically before E appear to be slightly lower than those after it, however.

Chart data: Type of tea Share of respondents English breakfast 0.52 Green 0.23 Earl Grey 0.22 Fruit 0.19 Peppermint 0.16 Herbal 0.15 Camomile 0.11 Decaffeinated 0.1 Assam 0.09 Darjeeling 0.08 Chai 0.07 Other 0.16 Not applicable - I never drink tea 0.18

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/3921.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fff2ae"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Type of tea"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Which , if any , of the following types", "of tea do you ever drink ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The prices of the tickets peaked between 2008 and 2010. For the majority of the years, the ticket prices have stayed below $30.

Chart data: Year Average ticket price in U.S. dollars Dec 31, 2005 25.28 Dec 31, 2006 28.26 Dec 31, 2007 34.05 Dec 31, 2008 36.99 Dec 31, 2009 32.22 Dec 31, 2010 31.81 Dec 31, 2011 27.24 Dec 31, 2012 25.3 Dec 31, 2013 25.3 Dec 31, 2014 25.3 Dec 31, 2015 26.02 Dec 31, 2017 27.6 Dec 31, 2018 27.6

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/3927.tsv"}, "mark": "area", "encoding": {"color": {"value": "#999999"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Average ticket price in U.S. dollars"}, "field": "Average ticket price in U\\.S\\. dollars"}}, "title": ["New York Mets average ticket price from", "2006 to 2019 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This chart shows a decrease in drive-in movie theaters year after year. There were nearly 600 theaters in 1995, but by 2020, that number has dropped to a little over 300. The biggest drop occurs between 1995 and 2000, where the number of theaters decreased by about 150. Though the number of drive-in theaters decreases steadily after 1995, there is one instance around 2012 and 2013.

Chart data: Year Number of drive-in cinema sites Dec 31, 1994 593 Dec 31, 1995 583 Dec 31, 1996 577 Dec 31, 1997 524 Dec 31, 1998 446 Dec 31, 1999 442 Dec 31, 2000 440 Dec 31, 2001 432 Dec 31, 2002 400 Dec 31, 2003 402 Dec 31, 2004 401 Dec 31, 2005 396 Dec 31, 2006 383 Dec 31, 2007 383 Dec 31, 2008 381 Dec 31, 2009 374 Dec 31, 2010 366 Dec 31, 2011 366 Dec 31, 2012 393 Dec 31, 2013 393 Dec 31, 2014 349 Dec 31, 2015 349 Dec 31, 2016 349 Dec 31, 2017 321 Dec 31, 2018 321

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/3933.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d67195"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of drive-in cinema sites"}, "field": "Number of drive-in cinema sites"}}, "title": ["Number of drive-in cinema sites in the United", "States from 1995 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The birth rate started to decrease then went up a bit between 2005 and 2010 and then declined again.

Chart data: Year Birth rate per 1,000 of population Dec 31, 1989 16.7 Dec 31, 1990 16.2 Dec 31, 1991 15.8 Dec 31, 1992 15.4 Dec 31, 1993 15 Dec 31, 1994 14.6 Dec 31, 1995 14.4 Dec 31, 1996 14.2 Dec 31, 1997 14.3 Dec 31, 1998 14.2 Dec 31, 1999 14.4 Dec 31, 2000 14.1 Dec 31, 2001 14 Dec 31, 2002 14.1 Dec 31, 2003 14 Dec 31, 2004 14 Dec 31, 2005 14.3 Dec 31, 2006 14.3 Dec 31, 2007 14 Dec 31, 2008 13.5 Dec 31, 2009 13 Dec 31, 2010 12.7 Dec 31, 2011 12.6 Dec 31, 2012 12.4 Dec 31, 2013 12.5 Dec 31, 2014 12.4 Dec 31, 2015 12.2 Dec 31, 2016 11.8 Dec 31, 2017 11.6

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/393.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fdc086"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Birth rate per 1,000 of population"}, "field": "Birth rate per 1,000 of population"}}, "title": ["Birth rate in the United States from 1990", "to 2018 (per 1,000 of population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The birth rate in the United States is shown to decline steadily over this time period. An initial birth rate of around 17 per 1,000 of population in 1990 declines to around 12 per 1,000 by 2018.

Chart data: Year Birth rate per 1,000 of population Dec 31, 1989 16.7 Dec 31, 1990 16.2 Dec 31, 1991 15.8 Dec 31, 1992 15.4 Dec 31, 1993 15 Dec 31, 1994 14.6 Dec 31, 1995 14.4 Dec 31, 1996 14.2 Dec 31, 1997 14.3 Dec 31, 1998 14.2 Dec 31, 1999 14.4 Dec 31, 2000 14.1 Dec 31, 2001 14 Dec 31, 2002 14.1 Dec 31, 2003 14 Dec 31, 2004 14 Dec 31, 2005 14.3 Dec 31, 2006 14.3 Dec 31, 2007 14 Dec 31, 2008 13.5 Dec 31, 2009 13 Dec 31, 2010 12.7 Dec 31, 2011 12.6 Dec 31, 2012 12.4 Dec 31, 2013 12.5 Dec 31, 2014 12.4 Dec 31, 2015 12.2 Dec 31, 2016 11.8 Dec 31, 2017 11.6

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/393.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fdc086"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Birth rate per 1,000 of population"}, "field": "Birth rate per 1,000 of population"}}, "title": ["Birth rate in the United States from 1990", "to 2018 (per 1,000 of population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The birthrate has steadily declined from roughly 17,000 to roughly 12,000 from 1990 to 2018. The years 2006, 2007, and 2000 all show 14,000 births that year. From 1990 to 1994 and from 2007 to 2010 both average a 2000 birth decline.

Chart data: Year Birth rate per 1,000 of population Dec 31, 1989 16.7 Dec 31, 1990 16.2 Dec 31, 1991 15.8 Dec 31, 1992 15.4 Dec 31, 1993 15 Dec 31, 1994 14.6 Dec 31, 1995 14.4 Dec 31, 1996 14.2 Dec 31, 1997 14.3 Dec 31, 1998 14.2 Dec 31, 1999 14.4 Dec 31, 2000 14.1 Dec 31, 2001 14 Dec 31, 2002 14.1 Dec 31, 2003 14 Dec 31, 2004 14 Dec 31, 2005 14.3 Dec 31, 2006 14.3 Dec 31, 2007 14 Dec 31, 2008 13.5 Dec 31, 2009 13 Dec 31, 2010 12.7 Dec 31, 2011 12.6 Dec 31, 2012 12.4 Dec 31, 2013 12.5 Dec 31, 2014 12.4 Dec 31, 2015 12.2 Dec 31, 2016 11.8 Dec 31, 2017 11.6

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/393.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fdc086"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Birth rate per 1,000 of population"}, "field": "Birth rate per 1,000 of population"}}, "title": ["Birth rate in the United States from 1990", "to 2018 (per 1,000 of population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This has fluctuated over the period. It is difficult to predict what will happen next. Since 2018 it has been on an upward trend. It went down in between but is still higher than what it was in 2009.

Chart data: Year Tier 1 capital ratio Dec 31, 2008 0.126 Dec 31, 2009 0.123 Dec 31, 2010 0.129 Dec 31, 2011 0.151 Dec 31, 2012 0.169 Dec 31, 2013 0.161 Dec 31, 2014 0.147 Dec 31, 2015 0.156 Dec 31, 2016 0.168 Dec 31, 2017 0.149 Dec 31, 2018 0.153

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/3943.tsv"}, "mark": "line", "encoding": {"color": {"value": "#744EC2"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Tier 1 capital ratio"}, "field": "Tier 1 capital ratio"}}, "title": ["Development of Tier 1 capital ratio at Deutsche", "Bank from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: All but one of the attractions had more than 1 million visitors. The most visited place was the Tower of London (3000 x 1000) and the least visited was Tower Bridge Exhibition.

Chart data: Number of visits in thousands tourist attraction 2984 Tower of London 2317 Royal Botanic Gardens, Kew Gardens 1716 St Paul's Cathedral 1574 Westminster Abbey 1265 Old Royal Naval College 1249 Royal Academy of Arts 1157 ZSL London Zoo 1073 Hampton Court Palace 1064 Houses of Parliament 889 Tower Bridge Exhibition

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": "data/3957.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "quantitative", "axis": {"title": "Number of visits in thousands"}, "field": "Number of visits in thousands"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "tourist attraction"}}, "title": ["Most visited paid attractions in London", "in 2019 (in 1,000 visits)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Freeport McMoRan are the leading copper miners by production output (1900 tonnes) and Vale was the lowest (400 tonnes).

Chart data: Copper miner Production in thousand metric tons Freeport-McMoRan* 1.9 Codelco 1.7 BHP Billiton 1.7 Glencore 1.5 Southern Copper 0.88 Antofagasta 0.73 Rio Tinto 0.63 KGHM 0.63 First Quantum 0.61 Vale 0.4

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": "data/3959.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Copper miner"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Production in thousand metric tons"}, "field": "Production in thousand metric tons"}}, "title": ["Leading copper miners worldwide in 2018", ", by production output (in million metric", "tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Germany has the most outbound travel trips with just over 70 million and China has the least at 20 million.

Chart data: Number of trips (in millions) Country 72.6 Germany 64 USA 54.9 Great Britain 31.7 France 27.3 Canada 23.5 The Netherlands 22.4 Italy 21.7 Russia 19.6 Japan 16.1 China

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/3968.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of trips (in millions)"}, "field": "Number of trips (in millions)"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Countries worldwide with the most outbound", "travel trips (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The slowest production of global rice was in 2004/05.

Chart data: Supply in million metric tons Year 738.75 2018/19 728.31 2017/18 711.82 2016/17 710.64 2015/16 712.63 2014/15 697.14 2013/14 675.24 2012/13 653.24 2011/12 623.84 2010/11 601.79 2009/10 587.54 2008/09 564.76 2007/08 548.27 2006/07 542.77 2005/06 532.17 2004/05 534.85 2003/04 548.3 2002/03 576.07 2001/02 578.29 2000/01

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": "data/3971.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4598ae"}, "x": {"type": "quantitative", "axis": {"title": "Supply in million metric tons"}, "field": "Supply in million metric tons"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Total global supply of rice from 2000/2001", "to 2018/2019 (in million metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Youth unemployment has fallen significantly in Ethiopia during the period covered. The rate fell particularly shaply between 1999 and 2005. After that the rate at which youth unemployment fell began to slow (between 2005 and around 2007/8). During the late 2000's youth unemployment grew again, although not to anything like it's 1999 levels. This was followed, by a period (from 2010) where the rate once again fell, year on year before plateauing around 2017.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.0538 Dec 31, 1999 0.0503 Dec 31, 2000 0.0474 Dec 31, 2001 0.0455 Dec 31, 2002 0.043 Dec 31, 2003 0.0391 Dec 31, 2004 0.0358 Dec 31, 2005 0.0344 Dec 31, 2006 0.0331 Dec 31, 2007 0.0326 Dec 31, 2008 0.0347 Dec 31, 2009 0.035 Dec 31, 2010 0.0347 Dec 31, 2011 0.0345 Dec 31, 2012 0.0343 Dec 31, 2013 0.0338 Dec 31, 2014 0.0336 Dec 31, 2015 0.0333 Dec 31, 2016 0.0326 Dec 31, 2017 0.0321 Dec 31, 2018 0.0323 Dec 31, 2019 0.0326

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/3975.tsv"}, "mark": "line", "encoding": {"color": {"value": "#9fe4f8"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Youth unemployment rate"}, "field": "Youth unemployment rate"}}, "title": ["Ethiopia : Youth unemployment rate from", "1999 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: During the year of 2020, as each month has gone by the index points have gone from just over 9,000 to just over 12,000.

Chart data: Month/day/year Index points Dec 31, 2019 9068.58 Jan 07, 2020 9251.33 Jan 14, 2020 9370.81 Jan 21, 2020 9269.68 Jan 28, 2020 9467.97 Feb 04, 2020 9638.94 Feb 11, 2020 9732.74 Feb 18, 2020 8965.61 Feb 25, 2020 8684.09 Mar 03, 2020 8344.25 Mar 10, 2020 7334.78 Mar 17, 2020 7417.86 Mar 24, 2020 7384.29 Mar 31, 2020 7887.26 Apr 07, 2020 8515.74 Apr 14, 2020 8393.18 Apr 21, 2020 8607.73 Apr 28, 2020 8914.71 May 05, 2020 9002.55 May 12, 2020 9185.1 May 19, 2020 9340.22 May 26, 2020 9608.38 Jun 02, 2020 9953.75 Jun 09, 2020 9895.87 Jun 16, 2020 10131.37 Jun 23, 2020 10058.77 Jun 30, 2020 10343.89 Jul 07, 2020 10488.58 Jul 14, 2020 10680.36 Jul 21, 2020 10402.09 Jul 28, 2020 10941.17 Aug 04, 2020 10782.82 Aug 11, 2020 11210.84 Aug 18, 2020 11466.47 Aug 25, 2020 11939.67 Sep 01, 2020 10847.69 Sep 08, 2020 11190.32 Sep 15, 2020 10910.28 Sep 22, 2020 11085.25 Sep 29, 2020 11154.6 Oct 03, 2020 11579.94 Oct 10, 2020 11671.56 Oct 17, 2020 11548.28 Oct 24, 2020 10911.59 Nov 01, 2020 11895.23 Nov 08, 2020 11829.29 Nov 15, 2020 11854.97 Nov 22, 2020 12205.85 Nov 29, 2020 12464.23 Dec 06, 2020 12377.87 Dec 13, 2020 12595.06

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/3979.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ff9e27"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Month/day/year"}, "y": {"type": "quantitative", "axis": {"title": "Index points"}, "field": "Index points"}}, "title": ["Weekly development of the NASDAQ Composite", "index from January 2020 to December 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The X-axis increases by increments of 3 months. The Y-axis increases by increments of 2000 index points. The lowest index points of NASDAQ are around March 2020 at approximately 1337. The highest index points of NASDAQ are around the end of December 2020 at approximately 12500. Since the end of March 2020, there has been a steady increase of NASDAQ index points leading up to December 2020.

Chart data: Month/day/year Index points Dec 31, 2019 9068.58 Jan 07, 2020 9251.33 Jan 14, 2020 9370.81 Jan 21, 2020 9269.68 Jan 28, 2020 9467.97 Feb 04, 2020 9638.94 Feb 11, 2020 9732.74 Feb 18, 2020 8965.61 Feb 25, 2020 8684.09 Mar 03, 2020 8344.25 Mar 10, 2020 7334.78 Mar 17, 2020 7417.86 Mar 24, 2020 7384.29 Mar 31, 2020 7887.26 Apr 07, 2020 8515.74 Apr 14, 2020 8393.18 Apr 21, 2020 8607.73 Apr 28, 2020 8914.71 May 05, 2020 9002.55 May 12, 2020 9185.1 May 19, 2020 9340.22 May 26, 2020 9608.38 Jun 02, 2020 9953.75 Jun 09, 2020 9895.87 Jun 16, 2020 10131.37 Jun 23, 2020 10058.77 Jun 30, 2020 10343.89 Jul 07, 2020 10488.58 Jul 14, 2020 10680.36 Jul 21, 2020 10402.09 Jul 28, 2020 10941.17 Aug 04, 2020 10782.82 Aug 11, 2020 11210.84 Aug 18, 2020 11466.47 Aug 25, 2020 11939.67 Sep 01, 2020 10847.69 Sep 08, 2020 11190.32 Sep 15, 2020 10910.28 Sep 22, 2020 11085.25 Sep 29, 2020 11154.6 Oct 03, 2020 11579.94 Oct 10, 2020 11671.56 Oct 17, 2020 11548.28 Oct 24, 2020 10911.59 Nov 01, 2020 11895.23 Nov 08, 2020 11829.29 Nov 15, 2020 11854.97 Nov 22, 2020 12205.85 Nov 29, 2020 12464.23 Dec 06, 2020 12377.87 Dec 13, 2020 12595.06

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/3979.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ff9e27"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Month/day/year"}, "y": {"type": "quantitative", "axis": {"title": "Index points"}, "field": "Index points"}}, "title": ["Weekly development of the NASDAQ Composite", "index from January 2020 to December 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: We can see that the debt rises every year by approximately 250 billion.

Chart data: Year National debt in billion U.S. dollars 2024* 3299.94 2023* 2984.05 2022* 2701.91 2021* 2449 2020* 2219.37 2019* 2009.81 2018 1801.98 2017 1615.18 2016 1448.03 2015 1319.32 2014 1160.56

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/397.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#beaed4"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "National debt in billion U.S. dollars"}, "field": "National debt in billion U\\.S\\. dollars"}}, "title": ["India : National debt from 2014 to 2024", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Construction workers from what the chart indicates seem to have the highest self employment rates out of all the professions.

Chart data: Number of self-employed (in 1,000s) industry 811 Construction 602 Professional, scientific & technical activities 342 Human health & social work activities 334 Wholesale, retail & repair of motor vehicles 319 Administrative & support services 283 Education 264 Transport & storage 236 Information & communication 199 Manufacturing 191 Agriculture, forestry, fishing, mining, energy & water 107 Accommodation and food services 101 Financial & insurance activities 63 Real estate activities 52 Public admin & defence; social security

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": "data/3980.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "quantitative", "axis": {"title": "Number of self-employed (in 1,000s)"}, "field": "Number of self-employed (in 1,000s)"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "industry"}}, "title": ["Number of people self-employed in the United", "Kingdom in 3rd quarter 2020 , by industry", "(in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}