delen/vistext huggingface dataset:
Chart description: Pablo PIcasso has the highest auction sales at $350 million (USD), followed by Claude Monet at $300 million (USD) and Zao Wou-Ki at just under $280 million (USD).

Chart data:  leading artists worldwide Auction sales in million U.S. dollars Pablo Picasso 346.22 Claude Monet 298.41 Zao Wou-Ki 237.85 Andy Warhol 228.33 Zhang Daqian 177.81 Wu Guanzhong 148.72 Gerhard Richter 130.53 David Hockney 130.51 Qi Baishi 129.75 Jean-Michel Basquiat 128.79 René Magritte 127.8 Ed Ruscha 116.81 Francis Bacon 115.32 Li Keran 112.14 Jeff Koons 111.1 San Yu 109.32 Kaws 108.45 Mark Rothko 106.46 Roy Lichtenstein 102.35 Paul Cézane 100.87

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/12237.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": " leading artists worldwide"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Auction sales in million U.S. dollars"}, "field": "Auction sales in million U\\.S\\. dollars"}}, "title": ["Leading artists worldwide in 2019 , by auction", "revenue (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall, as the years passed from 1995 to 2018, the number of employees that were members of a trade union in accommodation and food service activities in the United Kingdom has decreased by over half.

Chart data: Response Percentage of employees Dec 31, 1994 0.079 Dec 31, 1995 0.07 Dec 31, 1996 0.069 Dec 31, 1997 0.067 Dec 31, 1998 0.061 Dec 31, 1999 0.06 Dec 31, 2000 0.057 Dec 31, 2001 0.063 Dec 31, 2002 0.055 Dec 31, 2003 0.05 Dec 31, 2004 0.042 Dec 31, 2005 0.056 Dec 31, 2006 0.049 Dec 31, 2007 0.054 Dec 31, 2008 0.039 Dec 31, 2009 0.038 Dec 31, 2010 0.036 Dec 31, 2011 0.035 Dec 31, 2012 0.042 Dec 31, 2013 0.035 Dec 31, 2014 0.035 Dec 31, 2015 0.025 Dec 31, 2016 0.029 Dec 31, 2017 0.033

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/12239.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fc4f30"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Percentage of employees"}, "field": "Percentage of employees"}}, "title": ["Trade union density : Proportion of employees", "that were members of a trade union in accommodation", "and food service activities in the United", "Kingdom from 1995 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most popular owned device in the UK in 2012 was a laptop (including mac laptops). A laptop was owned by almost 60% of respondents. The next most owned devices were a desktop PC followed by a PVR/Freeview box. The least owned device was a PDA.

Chart data: Response Share of respondents Laptop (including Mac laptops) 0.59 Desktop PC / Mac 0.45 A standard mobile phone without internet 0.36 PVR box (e.g. Sky+) or Freeview box 0.35 Games console with internet 0.3 Android smartphone 0.25 Games console without internet 0.2 iPhone 0.16 Handheld gaming device e.g. Nintendo DS, PSP/ VITA with internet access 0.14 Handheld gaming device e.g. Nintendo DS, PSP/ VITA without internet access 0.13 iPad 0.13 Blackberry 0.12 Other smartphone 0.08 Other tablet 0.07 Windows smartphone 0.03 PDA 0.02 None of these 0.05

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/12252.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Share of respondents owning selected devices", "in the United Kingdom (UK) in 2012"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: attendance  is a regular pattern at just under 600,00 every year. there is a slight dip in attendance between  in  2011 there is a slight falling off in attendance in 2018.

Chart data: Year Home attendance Dec 31, 2005 588536 Dec 31, 2006 587216 Dec 31, 2007 585680 Dec 31, 2008 586312 Dec 31, 2009 580960 Dec 31, 2010 578342 Dec 31, 2011 586347 Dec 31, 2012 587544 Dec 31, 2013 588861 Dec 31, 2014 592454 Dec 31, 2015 590343 Dec 31, 2016 588942 Dec 31, 2017 590182 Dec 31, 2018 577765

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/12263.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d2d2d2"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Home attendance"}, "field": "Home attendance"}}, "title": ["Total regular season home attendance of", "the NFL Carolina Panthers franchise from", "2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: a bit of a scatter of patterns. Events that happen in brazil/rio tend to have 500 to 1,500 million interactions on facebook. most of the events had less than 500 million interactions on facebook. The event with the most interactions on facebook was the 2014 fifa world cup.

Chart data: Number of Facebook interactions in millions Year 3000 2014 FIFA World Cup (Jun 12-Jul13) 1500 2016 Rio Olympic Games (Aug 5-21, 2016) 700 2015 Cricket World Cup (Jan 1-Mar 29) 674 2014 Presidential Election in Brazil 534 2015 Carnival in Brazil (Feb13-Feb 17) 459 2014 FIFA World Cup (first week of tournament, June 12-18) 350 Indian Premier League 10 (IPL 10) Apr-May 2017 312 2015 Indian Premier League (IPL) Season 8 (Apr 1-May 8) 309 2015 Copa América (Jun 1-Jul 4, 2015) 265 Super Bowl XLIX (Feb 1, 2015) 185 Super Bowl XLVIII (Feb 2, 2014) 173 NBA Finals (June 4-16, 2015) 150 2016 World Series (Oct 25 - Nov 2) 120 2014 Sochi Winter Olympics 115 Mayweather vs. Pacquiao (May 2, 2015) 88 2014 FIFA World Cup Final - Argentina vs. Germany (Jul 13) 76 2015 NCAA Tournament (Mar 15-Apr 6) 76 2015 UEFA Champions League Final (Jun 6, 2015) 67 88th Academy Awards (Feb 24, 2016) 66 2014 FIFA World Cup Semi-final - Brazil vs. Germany (Jul 8)

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/12271.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Number of Facebook interactions in millions"}, "field": "Number of Facebook interactions in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}}, "title": ["Selected global media and sporting events", "with the most Facebook interactions as of", "May 2017 (in million interactions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall Fifa world cup had the most viewers and apart from the olympics, most of the other sports had about the same as each other.

Chart data: Number of Facebook interactions in millions Year 3000 2014 FIFA World Cup (Jun 12-Jul13) 1500 2016 Rio Olympic Games (Aug 5-21, 2016) 700 2015 Cricket World Cup (Jan 1-Mar 29) 674 2014 Presidential Election in Brazil 534 2015 Carnival in Brazil (Feb13-Feb 17) 459 2014 FIFA World Cup (first week of tournament, June 12-18) 350 Indian Premier League 10 (IPL 10) Apr-May 2017 312 2015 Indian Premier League (IPL) Season 8 (Apr 1-May 8) 309 2015 Copa América (Jun 1-Jul 4, 2015) 265 Super Bowl XLIX (Feb 1, 2015) 185 Super Bowl XLVIII (Feb 2, 2014) 173 NBA Finals (June 4-16, 2015) 150 2016 World Series (Oct 25 - Nov 2) 120 2014 Sochi Winter Olympics 115 Mayweather vs. Pacquiao (May 2, 2015) 88 2014 FIFA World Cup Final - Argentina vs. Germany (Jul 13) 76 2015 NCAA Tournament (Mar 15-Apr 6) 76 2015 UEFA Champions League Final (Jun 6, 2015) 67 88th Academy Awards (Feb 24, 2016) 66 2014 FIFA World Cup Semi-final - Brazil vs. Germany (Jul 8)

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/12271.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Number of Facebook interactions in millions"}, "field": "Number of Facebook interactions in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}}, "title": ["Selected global media and sporting events", "with the most Facebook interactions as of", "May 2017 (in million interactions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Deendayal handed by far the most cargo, approximately 118 million tonnes, 2nd was paradise with roughly 114 million tonnes. Mormugao was the port handling the least with just about 19 million tonnes.

Chart data: port Volume in million metric tons Deendayal 115.4 Paradip 109.3 J L Nehru 70.71 Visakhapatnam 65.3 Mumbai 60.63 Chennai 53.01 Haldia Dock Complex 45.21 New Mangalore 42.51 Kamarajar 34.5 Chidambaranar 34.34 Cochin 32.02 Kolkata Dock System 18.55 Mormugao 17.68

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/12275.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "port"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Volume in million metric tons"}, "field": "Volume in million metric tons"}}, "title": ["Volume of total cargo handled across India", "in financial year 2019 , by major port (in", "million metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Trading across borders has the highest EODB ranking.

Chart data: business activity EODB ranking from 1 to 190* Trading across borders 99 Protecting minority investors 72 Paying taxes 58 Resolving insolvency 57 Starting a business 40 DB rank 28 Dealing with construction permits 26 Getting credit 25 Enforcing contracts 21 Registering property 12 Getting electricity 7

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/12277.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "business activity"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "EODB ranking from 1 to 190*"}, "field": "EODB ranking from 1 to 190*"}}, "title": ["Ease of doing business (EODB) ranking of", "Russia in 2019 , by business activity"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Trading across borders is ranked the easiest business activity.

Chart data: business activity EODB ranking from 1 to 190* Trading across borders 99 Protecting minority investors 72 Paying taxes 58 Resolving insolvency 57 Starting a business 40 DB rank 28 Dealing with construction permits 26 Getting credit 25 Enforcing contracts 21 Registering property 12 Getting electricity 7

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/12277.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "business activity"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "EODB ranking from 1 to 190*"}, "field": "EODB ranking from 1 to 190*"}}, "title": ["Ease of doing business (EODB) ranking of", "Russia in 2019 , by business activity"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: in 2012/2013 and 2019/2020 the home attendance was the lowest, the other years are comparable and its about 700 000.

Chart data: Average total attendance Year 540120 2019/20 715705 2018/19 715299 2017/18 717526 2016/17 719490 2015/16 717606 2014/15 721083 2013/14 425295 2012/13* 715672 2011/12 697601 2010/11 696902 2009/10 716518 2008/09

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/12281.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#8c6d31"}, "x": {"type": "quantitative", "axis": {"title": "Average total attendance"}, "field": "Average total attendance"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}}, "title": ["Average total regular season home attendance", "in the NHL from 2008/09 to 2019/20"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of days has Decreased over the years. There has been some sharp changes in the number of days within each decade.

Chart data: Year Number of heating degree-days Dec 31, 1949 5367 Dec 31, 1959 5404 Dec 31, 1969 5218 Dec 31, 1979 5080 Dec 31, 1989 4180 Dec 31, 1999 4494 Dec 31, 2004 4348 Dec 31, 2005 4040 Dec 31, 2006 4268 Dec 31, 2007 4494 Dec 31, 2008 4481 Dec 31, 2009 4463 Dec 31, 2010 4312 Dec 31, 2011 3769 Dec 31, 2012 4465 Dec 31, 2013 4550 Dec 31, 2014 4087 Dec 31, 2015 3878 Dec 31, 2016 3828 Dec 31, 2017 4279 Dec 31, 2018 4303

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/12286.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d2d2d2"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of heating degree-days"}, "field": "Number of heating degree-days"}}, "title": ["Number of heating degree-days in the United", "States from 1950 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The prison population rate in Malaysia per 100,000 hit its peak in 2007 at roughly 175.The rate declines for a few years till 2012. From 2012, the rate starts to rise again.

Chart data: Year Prison population per 100,000 population Dec 31, 2005 162.14 Dec 31, 2006 188.93 Dec 31, 2007 145.48 Dec 31, 2009 136.55 Dec 31, 2011 125.5 Dec 31, 2012 131.77 Dec 31, 2013 158.75 Dec 31, 2014 166.35 Dec 31, 2015 165.64 Dec 31, 2016 175.22

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/12294.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ff9e27"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Prison population per 100,000 population"}, "field": "Prison population per 100,000 population"}}, "title": ["Prison population rates in Malaysia from", "2006 to 2017 (per 100,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of games released on Steam increased at a steady rate from 2004 - 2013. The number has increased exponentially from 2013 to 2018, and then decreased slightly in 2019. The number of games on Steam doubled between 2014 and 2016, and then doubled again between 2016 and 2018.

Chart data: Year Number of games Dec 31, 2003 7 Dec 31, 2004 6 Dec 31, 2005 71 Dec 31, 2006 112 Dec 31, 2007 183 Dec 31, 2008 356 Dec 31, 2009 276 Dec 31, 2010 283 Dec 31, 2011 379 Dec 31, 2012 565 Dec 31, 2013 1771 Dec 31, 2014 2964 Dec 31, 2015 4207 Dec 31, 2016 7049 Dec 31, 2017 9050 Dec 31, 2018 8290

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/1229.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of games"}, "field": "Number of games"}}, "title": ["Number of games released on Steam worldwide", "from 2004 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2004 to 2006 has the least number of games released within a time period. 2018 had the record highest number of games released in that year.

Chart data: Year Number of games Dec 31, 2003 7 Dec 31, 2004 6 Dec 31, 2005 71 Dec 31, 2006 112 Dec 31, 2007 183 Dec 31, 2008 356 Dec 31, 2009 276 Dec 31, 2010 283 Dec 31, 2011 379 Dec 31, 2012 565 Dec 31, 2013 1771 Dec 31, 2014 2964 Dec 31, 2015 4207 Dec 31, 2016 7049 Dec 31, 2017 9050 Dec 31, 2018 8290

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/1229.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of games"}, "field": "Number of games"}}, "title": ["Number of games released on Steam worldwide", "from 2004 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of games released on Steam worldwide increases between the years 2004-2018. In 2018 it has the highest number of games released but then it begins to decrease after 2018.

Chart data: Year Number of games Dec 31, 2003 7 Dec 31, 2004 6 Dec 31, 2005 71 Dec 31, 2006 112 Dec 31, 2007 183 Dec 31, 2008 356 Dec 31, 2009 276 Dec 31, 2010 283 Dec 31, 2011 379 Dec 31, 2012 565 Dec 31, 2013 1771 Dec 31, 2014 2964 Dec 31, 2015 4207 Dec 31, 2016 7049 Dec 31, 2017 9050 Dec 31, 2018 8290

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/1229.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of games"}, "field": "Number of games"}}, "title": ["Number of games released on Steam worldwide", "from 2004 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows an increase in investment trend between 2004 and 2018. In 2004, investment stood at circa £600 billion, rising steadily to 2008, when investment stood at approximately £1,100 billion.  2009 saw a reduction to 1,000 billion, with a steady state from 2010 to 2015, holding at just over 1,000 billion. Between 2015 and 2018, investment increased to 1,400 billion.

Chart data: Year Foreign direct investment in billion GBP Dec 31, 2003 645.74 Dec 31, 2004 696.11 Dec 31, 2005 741.16 Dec 31, 2006 921.83 Dec 31, 2007 1119.25 Dec 31, 2008 1014.4 Dec 31, 2009 1077.14 Dec 31, 2010 1118.03 Dec 31, 2011 1073.46 Dec 31, 2012 1090.64 Dec 31, 2013 1078.69 Dec 31, 2014 1083.96 Dec 31, 2015 1274.6 Dec 31, 2016 1369.14 Dec 31, 2017 1408.72

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/12305.tsv"}, "mark": "area", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Foreign direct investment in billion GBP"}, "field": "Foreign direct investment in billion GBP"}}, "title": ["Global foreign direct investment (FDI) position", "of the United Kingdom (UK) from 2004 to 2018", "(in billion GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Global Foreign Investment in the UK has grown from 600 to 1400 billion GBP over the period 2014 to 2018.

Chart data: Year Foreign direct investment in billion GBP Dec 31, 2003 645.74 Dec 31, 2004 696.11 Dec 31, 2005 741.16 Dec 31, 2006 921.83 Dec 31, 2007 1119.25 Dec 31, 2008 1014.4 Dec 31, 2009 1077.14 Dec 31, 2010 1118.03 Dec 31, 2011 1073.46 Dec 31, 2012 1090.64 Dec 31, 2013 1078.69 Dec 31, 2014 1083.96 Dec 31, 2015 1274.6 Dec 31, 2016 1369.14 Dec 31, 2017 1408.72

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/12305.tsv"}, "mark": "area", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Foreign direct investment in billion GBP"}, "field": "Foreign direct investment in billion GBP"}}, "title": ["Global foreign direct investment (FDI) position", "of the United Kingdom (UK) from 2004 to 2018", "(in billion GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a big jump in 2016/2017. Other then one peak in 2011 investments stayed the same from 2010-2015.

Chart data: Year Foreign direct investment in billion GBP Dec 31, 2003 645.74 Dec 31, 2004 696.11 Dec 31, 2005 741.16 Dec 31, 2006 921.83 Dec 31, 2007 1119.25 Dec 31, 2008 1014.4 Dec 31, 2009 1077.14 Dec 31, 2010 1118.03 Dec 31, 2011 1073.46 Dec 31, 2012 1090.64 Dec 31, 2013 1078.69 Dec 31, 2014 1083.96 Dec 31, 2015 1274.6 Dec 31, 2016 1369.14 Dec 31, 2017 1408.72

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/12305.tsv"}, "mark": "area", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Foreign direct investment in billion GBP"}, "field": "Foreign direct investment in billion GBP"}}, "title": ["Global foreign direct investment (FDI) position", "of the United Kingdom (UK) from 2004 to 2018", "(in billion GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Numbers of vehicles produces by Fiat increased between 2006 and 2007, but then steadily decreased from 2007 to 2012. After 2012, Fiat production skyrocketed, which more than doubled, reaching almost 500,000 units. In the following years, Fiat production remained roughly at that level.

Chart data: Year Production in thousand units Dec 31, 2005 2319.64 Dec 31, 2006 2679.45 Dec 31, 2007 2524.33 Dec 31, 2008 2460.22 Dec 31, 2009 2410.02 Dec 31, 2010 2399.83 Dec 31, 2011 2127.3 Dec 31, 2012 4681.7 Dec 31, 2013 4865.76 Dec 31, 2014 4865.23 Dec 31, 2015 4681.46

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/12315.tsv"}, "mark": "line", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Production in thousand units"}, "field": "Production in thousand units"}}, "title": ["Number of motor vehicles produced by Fiat", "worldwide from 2006 to 2016 (in 1,000s units)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2008 to 2019, the Net income of Duke Energy has increased from just over 1000 millions USD to approximately 3500 millions USD. From 2012, the increase in net income from Duke Energy is marked by year-on-year increase followed by year-on-year decrease.

Chart data: Year Net income in million U.S. dollars Dec 31, 2007 1358 Dec 31, 2008 1085 Dec 31, 2009 1323 Dec 31, 2010 1714 Dec 31, 2011 1782 Dec 31, 2012 2676 Dec 31, 2013 1889 Dec 31, 2014 2831 Dec 31, 2015 2170 Dec 31, 2016 3064 Dec 31, 2017 2644 Dec 31, 2018 3571

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/12317.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Net income in million U.S. dollars"}, "field": "Net income in million U\\.S\\. dollars"}}, "title": ["Net income of Duke Energy from FY 2008 to", "FY 2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2008 and 2018 the change in life expectancy in Indonesia has been small.  In 2008 life expectancy was around 68 years.  Life expectancy has risen at steady but slow rate since then reaching 72 in 2018.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 68.49 Dec 31, 2008 68.85 Dec 31, 2009 69.21 Dec 31, 2010 69.54 Dec 31, 2011 69.87 Dec 31, 2012 70.18 Dec 31, 2013 70.48 Dec 31, 2014 70.77 Dec 31, 2015 71.04 Dec 31, 2016 71.28 Dec 31, 2017 71.51

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/12323.tsv"}, "mark": "line", "encoding": {"color": {"value": "#182429"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Indonesia : Life expectancy at birth from", "2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population of Peru has risen steadily from around 31 million in 2009 to  around 32.5 million in 2019.  It is expected to continue rising year-on-year and reach 25 million in 2025.

Chart data: Inhabitants in millions Year 35.2 2025* 34.85 2024* 34.51 2023* 34.17 2022* 33.83 2021* 33.49 2020* 33.16 2019* 32.16 2018 31.83 2017 31.49 2016 31.15 2015

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/12326.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ff9e27"}, "x": {"type": "quantitative", "axis": {"title": "Inhabitants in millions"}, "field": "Inhabitants in millions"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Peru : Total population from 2015 to 2025", "(in million inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: from 2005 it was increasing till 2010 where it decreased for a bit then it started increasing again but up and down.

Chart data: Year Revenue per employee in 1,000 U.S. dollars Dec 31, 2001 426 Dec 31, 2002 465 Dec 31, 2003 523 Dec 31, 2004 606 Dec 31, 2005 668 Dec 31, 2006 743 Dec 31, 2007 810 Dec 31, 2008 706 Dec 31, 2009 806 Dec 31, 2010 830 Dec 31, 2011 940 Dec 31, 2012 950 Dec 31, 2013 948 Dec 31, 2014 824 Dec 31, 2015 810 Dec 31, 2016 840 Dec 31, 2017 787 Dec 31, 2018 795

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/12343.tsv"}, "mark": "area", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Revenue per employee in 1,000 U.S. dollars"}, "field": "Revenue per employee in 1,000 U\\.S\\. dollars"}}, "title": ["Revenue per employee of the United States", "chemical industry from 2002 to 2019 (in 1,000", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Over the period 2008 to 2013 overall sales of both Cranberries and Blueberries increased. Projected overall sales of both fruits shows a steady increase  from 2008 to 2018.

Chart data: Sales volume in thousand tonnes Year 24.2 2018* 21.2 2017* 18.8 2016* 16.8 2015 * 15.1 2014 * 13.8 2013 12.6 2012 11.5 2011 10.2 2010 8.4 2009 6.6 2008

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/12346.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d67195"}, "x": {"type": "quantitative", "axis": {"title": "Sales volume in thousand tonnes"}, "field": "Sales volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Annual volume of cranberries and blueberries", "sold in the United Kingdom (UK) from 2008", "to 2018 (in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Sales for annual volume in cranberries and blueberries in the UK from 2008 to 2018 are increasing year on year, peaking at 2018, the last year recorded, nearly reaching 25 tonnes.

Chart data: Sales volume in thousand tonnes Year 24.2 2018* 21.2 2017* 18.8 2016* 16.8 2015 * 15.1 2014 * 13.8 2013 12.6 2012 11.5 2011 10.2 2010 8.4 2009 6.6 2008

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/12346.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d67195"}, "x": {"type": "quantitative", "axis": {"title": "Sales volume in thousand tonnes"}, "field": "Sales volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Annual volume of cranberries and blueberries", "sold in the United Kingdom (UK) from 2008", "to 2018 (in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}