delen/vistext huggingface dataset:
Chart description: '- the number of residents increased every 2 years. -.

Chart data: Year Number of residents Dec 31, 2009 2153613 Dec 31, 2010 2172948 Dec 31, 2011 2190266 Dec 31, 2012 2210512 Dec 31, 2013 2235640 Dec 31, 2014 2263121 Dec 31, 2015 2291533 Dec 31, 2016 2319572 Dec 31, 2017 2341940 Dec 31, 2018 2363730

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/15252.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of residents"}, "field": "Number of residents"}}, "title": ["Population of the Sacramento-Roseville-Arden-Arcade", "metro area in the United States from 2010", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population has risen at a steady rate from 2010 to 2019. There have been no sharp rises and no falls in the levels.

Chart data: Year Number of residents Dec 31, 2009 2153613 Dec 31, 2010 2172948 Dec 31, 2011 2190266 Dec 31, 2012 2210512 Dec 31, 2013 2235640 Dec 31, 2014 2263121 Dec 31, 2015 2291533 Dec 31, 2016 2319572 Dec 31, 2017 2341940 Dec 31, 2018 2363730

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/15252.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of residents"}, "field": "Number of residents"}}, "title": ["Population of the Sacramento-Roseville-Arden-Arcade", "metro area in the United States from 2010", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The leading countries in exporting hair in 2019, measured by value in USD, are Hong Kong ($30m) and India ($18m), with no other country exceeding $3m.

Chart data: Export value in million U.S. dollars Country 30.2 Hong Kong 19 India 2.4 United Kingdom 0.95 United States 0.89 Myanmar 0.74 Brazil 0.5 Thailand 0.48 Ukraine 0.45 Japan 0.39 Italy

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/15257.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "quantitative", "axis": {"title": "Export value in million U.S. dollars"}, "field": "Export value in million U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Country"}}, "title": ["Leading human hair exporting countries worldwide", "in 2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Number of housing units in Singapore remained the same between 2000 and 2010 before increasing.

Chart data: Year Number of Housing Development Board flats Dec 31, 1999 838529 Dec 31, 2000 857335 Dec 31, 2001 868856 Dec 31, 2002 874322 Dec 31, 2003 877987 Dec 31, 2004 880934 Dec 31, 2005 881679 Dec 31, 2006 881529 Dec 31, 2007 887204 Dec 31, 2008 887352 Dec 31, 2009 895482 Dec 31, 2010 909610 Dec 31, 2011 927643 Dec 31, 2012 933389 Dec 31, 2013 953975 Dec 31, 2014 980613 Dec 31, 2015 1004623 Dec 31, 2016 1032461 Dec 31, 2017 1056716 Dec 31, 2018 1066196

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/15258.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of Housing Development Board flats"}, "field": "Number of Housing Development Board flats"}}, "title": ["Total number of Housing Development Board", "(HDB) apartment units in Singapore from 2000", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2015 and 2020 the budget balance was low - dropping at times to -0.020 and mostly reduced year on year. In 2020 there was a big change with budget balance increasing to over -0.10, this appears to be an outlier on the chart, with subsequent years dropping again to around -0.04 and remaining fairly stable until 2025.

Chart data: Budget balance in relation to GDP Year −0.0383 2025* −0.0385 2024* −0.0392 2023* −0.0317 2022* −0.0434 2021* −0.1046 2020* −0.0074 2019 −0.0023 2018 −0.0147 2017 −0.0237 2016 −0.0262 2015

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/15269.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2cf5b"}, "x": {"type": "quantitative", "axis": {"title": "Budget balance in relation to GDP"}, "field": "Budget balance in relation to GDP"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}}, "title": ["Poland : Budget balance between 2015 to", "2025 in relation to GDP"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2015 and 2019, the budget balance gradually grew smaller. In 2020 the budget balance became much larger. After 2020, the budget balance remained relatively consistent .

Chart data: Budget balance in relation to GDP Year −0.0383 2025* −0.0385 2024* −0.0392 2023* −0.0317 2022* −0.0434 2021* −0.1046 2020* −0.0074 2019 −0.0023 2018 −0.0147 2017 −0.0237 2016 −0.0262 2015

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/15269.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2cf5b"}, "x": {"type": "quantitative", "axis": {"title": "Budget balance in relation to GDP"}, "field": "Budget balance in relation to GDP"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}}, "title": ["Poland : Budget balance between 2015 to", "2025 in relation to GDP"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Whilst the revenue from plant sales in 2008 & 2016 is almost the same, & it has been at generally higher levels since 2015, there have been ups and downs each year.  However between 2008 & 2014 rates were consistently between 3,000-4,000mn.

Chart data: Year Revenue in million GBP Dec 31, 2007 4192 Dec 31, 2008 2973 Dec 31, 2009 3609 Dec 31, 2010 4023 Dec 31, 2011 3501 Dec 31, 2012 3772 Dec 31, 2013 3523 Dec 31, 2014 4895 Dec 31, 2015 4437 Dec 31, 2016 4339 Dec 31, 2017 4279

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/15287.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Revenue in million GBP"}, "field": "Revenue in million GBP"}}, "title": ["Revenue from retail sales of natural or", "artificial plants and flowers in the United", "Kingdom (UK) from 2008 to 2018 (in million", "GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Northwest Territories and Nunavut provinces have the highest number of sexual assaults by family members per 100,000 population. While for the most part the other provinces have a much lower ratio, though without knowing the population numbers of the provinces no true trends can be concluded.

Chart data: Number of victims per 100,000 population Province 111 Nunavut 92 Northwest Territories 43 Yukon 28 Saskatchewan 24 Manitoba 15 Quebec 13 Newfoundland and Labrador 13 New Brunswick 13 Nova Scotia 12 Canada 12 Alberta 9 Ontario 9 British Columbia 8 Prince Edward Island

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/15291.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "quantitative", "axis": {"title": "Number of victims per 100,000 population"}, "field": "Number of victims per 100,000 population"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Province"}}, "title": ["Rate of sexual assaults by family members", "in Canada in 2016 , by province (per 100,000", "population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Nunavut had the highest rate of sexual assaults in 2016 with 110 victims per 100000 population. Northwest territories had the second highest with Prince Edward island the lowest at around 10 per 100000 population.

Chart data: Number of victims per 100,000 population Province 111 Nunavut 92 Northwest Territories 43 Yukon 28 Saskatchewan 24 Manitoba 15 Quebec 13 Newfoundland and Labrador 13 New Brunswick 13 Nova Scotia 12 Canada 12 Alberta 9 Ontario 9 British Columbia 8 Prince Edward Island

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/15291.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "quantitative", "axis": {"title": "Number of victims per 100,000 population"}, "field": "Number of victims per 100,000 population"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Province"}}, "title": ["Rate of sexual assaults by family members", "in Canada in 2016 , by province (per 100,000", "population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Numbers increased steadily then dramatically between 2000-2012. There was then an erratic period before numbers started to grow again after 2017.

Chart data: Year Number of subscriptions in millions Dec 31, 1999 0.06 Dec 31, 2000 0.13 Dec 31, 2001 0.22 Dec 31, 2002 0.24 Dec 31, 2003 0.46 Dec 31, 2004 0.6 Dec 31, 2005 1.06 Dec 31, 2006 2.05 Dec 31, 2007 3.63 Dec 31, 2008 5.03 Dec 31, 2009 7.07 Dec 31, 2010 7.77 Dec 31, 2011 8.41 Dec 31, 2012 9.63 Dec 31, 2013 8.66 Dec 31, 2014 9.32 Dec 31, 2015 8.89 Dec 31, 2016 8.77 Dec 31, 2017 9.46 Dec 31, 2018 10.35

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/15292.tsv"}, "mark": "line", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of subscriptions in millions"}, "field": "Number of subscriptions in millions"}}, "title": ["Number of mobile cellular subscriptions", "in Benin from 2000 to 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population of Brunei Darussalem has increased steadily from 2015 to 2019. It is predicted that the population will increase again in 2024. There is no key explaining the asterisks next to some of the years.

Chart data: Year Inhabitants in millions 2025* 0.47 2024* 0.47 2023* 0.46 2022* 0.46 2021* 0.46 2020* 0.46 2019 0.46 2018 0.44 2017 0.43 2016 0.42 2015 0.41

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/15294.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#decbe4"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Inhabitants in millions"}, "field": "Inhabitants in millions"}}, "title": ["Brunei Darussalam : Total population from", "2015 to 2025 (in million inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The text states this is a visualisation of deaths from malaria in Vietnam between 2010 and 2017 but the chart actually displays data from 2005 to 2017. There was a peak in the number of deaths in 2006 and another smaller peak in 2009 but overall the number of deaths has fallen from over 40 at the highest point (in 2006) to under 10 at the lowest point, which is from 2015-2016. A small increase is then noted from 2016-2017.

Chart data: Year Number of deaths Dec 31, 2004 18 Dec 31, 2005 41 Dec 31, 2006 20 Dec 31, 2007 25 Dec 31, 2008 26 Dec 31, 2009 21 Dec 31, 2010 14 Dec 31, 2011 8 Dec 31, 2012 6 Dec 31, 2013 6 Dec 31, 2014 3 Dec 31, 2015 3 Dec 31, 2016 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/15298.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7298a"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of deaths"}, "field": "Number of deaths"}}, "title": ["Number of reported deaths from malaria in", "Vietnam from 2010 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of deaths seems to have spiked in 2006 and 2009 or the number of deaths is continuously decreasing from 2005 to 2017, with dips (accelerated decrease) in 2005 and 2007. Overall, the number of deaths is decreasing in time.

Chart data: Year Number of deaths Dec 31, 2004 18 Dec 31, 2005 41 Dec 31, 2006 20 Dec 31, 2007 25 Dec 31, 2008 26 Dec 31, 2009 21 Dec 31, 2010 14 Dec 31, 2011 8 Dec 31, 2012 6 Dec 31, 2013 6 Dec 31, 2014 3 Dec 31, 2015 3 Dec 31, 2016 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/15298.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7298a"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of deaths"}, "field": "Number of deaths"}}, "title": ["Number of reported deaths from malaria in", "Vietnam from 2010 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of mobile cellular subscriptions has increased from 2000-2017.

Chart data: Year Number of subscriptions in thousands Dec 31, 1999 39.83 Dec 31, 2000 75.32 Dec 31, 2001 79.4 Dec 31, 2002 137.96 Dec 31, 2003 171.66 Dec 31, 2004 281.37 Dec 31, 2005 400 Dec 31, 2006 538.77 Dec 31, 2007 447.77 Dec 31, 2008 488.53 Dec 31, 2009 560.4 Dec 31, 2010 528.76 Dec 31, 2011 547.05 Dec 31, 2012 555.04 Dec 31, 2013 566.91 Dec 31, 2014 542.6 Dec 31, 2015 584.66 Dec 31, 2016 643.21

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/15299.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of subscriptions in thousands"}, "field": "Number of subscriptions in thousands"}}, "title": ["Number of mobile cellular subscriptions", "in Guyana from 2000 to 2017 (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Starts high then declines over the years to 2015the raises a little.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.3611 Dec 31, 1999 0.3666 Dec 31, 2000 0.2749 Dec 31, 2001 0.2836 Dec 31, 2002 0.2641 Dec 31, 2003 0.2636 Dec 31, 2004 0.2378 Dec 31, 2005 0.229 Dec 31, 2006 0.2214 Dec 31, 2007 0.227 Dec 31, 2008 0.2346 Dec 31, 2009 0.2186 Dec 31, 2010 0.2049 Dec 31, 2011 0.1927 Dec 31, 2012 0.1819 Dec 31, 2013 0.176 Dec 31, 2014 0.1664 Dec 31, 2015 0.1752 Dec 31, 2016 0.1784 Dec 31, 2017 0.1858 Dec 31, 2018 0.1904 Dec 31, 2019 0.1967

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "data/15302.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Youth unemployment rate"}, "field": "Youth unemployment rate"}}, "title": ["Colombia : Youth unemployment rate from", "1999 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a gradual decrease in youth unemployment in Columbia between 1999 and 2020.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.3611 Dec 31, 1999 0.3666 Dec 31, 2000 0.2749 Dec 31, 2001 0.2836 Dec 31, 2002 0.2641 Dec 31, 2003 0.2636 Dec 31, 2004 0.2378 Dec 31, 2005 0.229 Dec 31, 2006 0.2214 Dec 31, 2007 0.227 Dec 31, 2008 0.2346 Dec 31, 2009 0.2186 Dec 31, 2010 0.2049 Dec 31, 2011 0.1927 Dec 31, 2012 0.1819 Dec 31, 2013 0.176 Dec 31, 2014 0.1664 Dec 31, 2015 0.1752 Dec 31, 2016 0.1784 Dec 31, 2017 0.1858 Dec 31, 2018 0.1904 Dec 31, 2019 0.1967

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "data/15302.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Youth unemployment rate"}, "field": "Youth unemployment rate"}}, "title": ["Colombia : Youth unemployment rate from", "1999 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Estimated expenses have for the most part remained static across this period. However a slight drop in expenses can be observed from a peak in 2008 of approximately 68 million, down to approximately 60 million in 2018. Within this time frame  an additional peak of approximately 65 million can be noted 2013.

Chart data: Year Expenses in million U.S. dollars Dec 31, 2006 66.26 Dec 31, 2007 67.71 Dec 31, 2008 62.83 Dec 31, 2009 64.22 Dec 31, 2010 64.89 Dec 31, 2011 65.2 Dec 31, 2012 65.87 Dec 31, 2013 62.87 Dec 31, 2014 63.08 Dec 31, 2015 63.74 Dec 31, 2016 62.75 Dec 31, 2017 60.78

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/15305.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7298a"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Expenses in million U.S. dollars"}, "field": "Expenses in million U\\.S\\. dollars"}}, "title": ["Estimated expenses of the U.S. motion picture", "and video industries from 2007 to 2018 (in", "million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows that as the years go on the number of workers on or below minimum wage have dropped significantly.

Chart data: Response Share of workers Dec 31, 1978 0.134 Dec 31, 1979 0.151 Dec 31, 1980 0.151 Dec 31, 1981 0.128 Dec 31, 1982 0.122 Dec 31, 1983 0.11 Dec 31, 1984 0.099 Dec 31, 1985 0.088 Dec 31, 1986 0.079 Dec 31, 1987 0.065 Dec 31, 1988 0.051 Dec 31, 1989 0.051 Dec 31, 1990 0.084 Dec 31, 1991 0.077 Dec 31, 1992 0.067 Dec 31, 1993 0.062 Dec 31, 1994 0.053 Dec 31, 1995 0.054 Dec 31, 1996 0.067 Dec 31, 1997 0.062 Dec 31, 1998 0.046 Dec 31, 1999 0.036 Dec 31, 2000 0.03 Dec 31, 2001 0.03 Dec 31, 2002 0.029 Dec 31, 2003 0.027 Dec 31, 2004 0.025 Dec 31, 2005 0.022 Dec 31, 2006 0.023 Dec 31, 2007 0.03 Dec 31, 2008 0.049 Dec 31, 2009 0.06 Dec 31, 2010 0.052 Dec 31, 2011 0.047 Dec 31, 2012 0.043 Dec 31, 2013 0.039 Dec 31, 2014 0.033 Dec 31, 2015 0.027 Dec 31, 2016 0.023 Dec 31, 2017 0.021 Dec 31, 2018 0.019

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/15306.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d6a5c9"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of workers"}, "field": "Share of workers"}}, "title": ["Share of wage and salary workers in the", "United States paid hourly rates at or below", "the prevailing federal minimum wage from", "1979 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy has almost stopped increasing during the period under review.

Chart data: Year Number of children born per woman Dec 31, 2007 81.4 Dec 31, 2008 81.54 Dec 31, 2009 81.7 Dec 31, 2010 81.9 Dec 31, 2011 82.05 Dec 31, 2012 82.15 Dec 31, 2013 82.3 Dec 31, 2014 82.4 Dec 31, 2015 82.45 Dec 31, 2016 82.5 Dec 31, 2017 82.75

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/15309.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7cb94"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of children born per woman"}, "field": "Number of children born per woman"}}, "title": ["Australia : Life expectancy at birth from", "2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: An ever so slight increase year on year for the number of still borne but you could argue the increase is negligible, although the figure is full stop as we should be aiming for zero.

Chart data: Year Number of children born per woman Dec 31, 2007 81.4 Dec 31, 2008 81.54 Dec 31, 2009 81.7 Dec 31, 2010 81.9 Dec 31, 2011 82.05 Dec 31, 2012 82.15 Dec 31, 2013 82.3 Dec 31, 2014 82.4 Dec 31, 2015 82.45 Dec 31, 2016 82.5 Dec 31, 2017 82.75

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/15309.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7cb94"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of children born per woman"}, "field": "Number of children born per woman"}}, "title": ["Australia : Life expectancy at birth from", "2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Gross profit of lululemon worldwide increased from 500 to 1000 million us dollars from 2010 to 2015. Gross profit of lululemon worldwide increased form 1000 million us dollars to over 2000 million us dollars from 2015 to 2018.

Chart data: Year Gross profit in million U.S. dollars Dec 31, 2009 394.95 Dec 31, 2010 569.35 Dec 31, 2011 762.83 Dec 31, 2012 840.08 Dec 31, 2013 914.18 Dec 31, 2014 997.17 Dec 31, 2015 1199.62 Dec 31, 2016 1398.79 Dec 31, 2017 1816.29 Dec 31, 2018 2223.39

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/15314.tsv"}, "mark": "line", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Gross profit in million U.S. dollars"}, "field": "Gross profit in million U\\.S\\. dollars"}}, "title": ["Gross profit of lululemon worldwide from", "fiscal year 2010 to 2019 (in million U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The gross profit of lululemon rose from 201o to 2018. This rise has been sharper since 2018.

Chart data: Year Gross profit in million U.S. dollars Dec 31, 2009 394.95 Dec 31, 2010 569.35 Dec 31, 2011 762.83 Dec 31, 2012 840.08 Dec 31, 2013 914.18 Dec 31, 2014 997.17 Dec 31, 2015 1199.62 Dec 31, 2016 1398.79 Dec 31, 2017 1816.29 Dec 31, 2018 2223.39

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/15314.tsv"}, "mark": "line", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Gross profit in million U.S. dollars"}, "field": "Gross profit in million U\\.S\\. dollars"}}, "title": ["Gross profit of lululemon worldwide from", "fiscal year 2010 to 2019 (in million U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As of October 2020 Sam Rice has the highest games played of Minnesota Twins all-time games played. As of October 2020 Eddie Yost has the lowest games played of Minnesota Twins all-time games played.

Chart data: Number of games played Player 2329 Harmon Killebrew 2307 Sam Rice 2084 Joe Judge 1982 Clyde Milan 1867 Ossie Bluege 1858 Joe Mauer 1805 Mickey Vernon 1783 Kirby Puckett 1747 Kent Hrbek 1690 Eddie Yost

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/15320.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of games played"}, "field": "Number of games played"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Player"}}, "title": ["Minnesota Twins all-time games played leaders", "as of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest used apps were homescapes at 40 minutes and gardenscapes at around 45 minutes.

Chart data: Platform Time spent per day in minutes Gardenscapes 46 Homescapes 41 FBReader 40 YouTube 35 Vkontakte 34 Instagram 27 TikTok 18 Yandex.Navigator 18 WhatsApp 15 Chitai! 15

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/15322.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Platform"}, "y": {"type": "quantitative", "axis": {"title": "Time spent per day in minutes"}, "field": "Time spent per day in minutes"}}, "title": ["Most popular mobile apps in Russia in the", "1st half of 2019 , by time spent daily (in", "minutes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The majority of common girls names in italy end in an 'a' and those that don't end in an 'e'The majority of the names appear between 2.5k and 3.5k times but the most popular appear around 6k times.

Chart data: Common female names Number of female babies Sofia 6400 Giulia 5917 Aurora 5862 Alice 3741 Ginevra 3688 Emma 3481 Giorgia 3251 Greta 3043 Beatrice 3030 Anna 2762 Martina 2758 Chiara 2712 Vittoria 2585 Sara 2488 Nicole 2461

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/1532.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "Common female names"}, "y": {"type": "quantitative", "axis": {"title": "Number of female babies"}, "field": "Number of female babies"}}, "title": ["Most common names among female babies born", "in Italy in 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows a moderate increase for each year.

Chart data: Gross weight production in thousand metric tons Year 2500000 2019** 2460000 2018 2430000 2017 2350000 2016 2320000 2015 2340000 2014 2200000 2013 2070000 2012 2030000 2011 1870000 2010 2220000 2009 2210000 2008 2040000 2007 1830000 2006

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/15335.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#168dd9"}, "x": {"type": "quantitative", "axis": {"title": "Gross weight production in thousand metric tons"}, "field": "Gross weight production in thousand metric tons"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Gross weight of the iron ore production", "worldwide from 2006 to 2019 (in 1,000 metric", "tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: People from South Africa and Mexico are among the most civil internet users.

Chart data: Country Index ranking United Kingdom 45 Australia 51 United States 55 Belgium 59 France 60 Germany 62 India 63 China 67 Tunisia 71 Brazil 71 Chile 72 Russia 74 Mexico 76 South Africa 78

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/15337.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DB4437"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Index ranking"}, "field": "Index ranking"}}, "title": ["Degree of internet civility according to", "online users in selected countries as of", "June 2016 (index ranking)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: UK has the lowest internet civility with South Africa having the highest civility. European countries as well as Australia and USA tend to have lower internet civilities than other countries in the world.

Chart data: Country Index ranking United Kingdom 45 Australia 51 United States 55 Belgium 59 France 60 Germany 62 India 63 China 67 Tunisia 71 Brazil 71 Chile 72 Russia 74 Mexico 76 South Africa 78

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/15337.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DB4437"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Index ranking"}, "field": "Index ranking"}}, "title": ["Degree of internet civility according to", "online users in selected countries as of", "June 2016 (index ranking)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}