delen/vistext huggingface dataset:
Chart description: This is a bar chart showing how much of the onshore wind farms each country has contributed to the global total, as a percentage, in one calendar year. China is way ahead, followed by the rest of the world, and then the US, then other individual countries.

Chart data: Response Share of global new installed capacity China 0.44 United States 0.17 India 0.04 Spain 0.04 Sweden 0.03 France 0.02 Germany 0.02 Argentina 0.02 Australia 0.02 Mexico 0.02 Rest of world 0.18

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/25926.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Share of global new installed capacity"}, "field": "Share of global new installed capacity"}}, "title": ["Distribution of new installed onshore wind", "capacity worldwide in 2019 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2001 and 2016, there has been an increase in the import of grain in US. 2012 had the highest amount of grain import with more than 10 million metric tons. This was a huge increase from the previous year. However, from 2012 onwards there has been a steady decline until 2016. Lowest amount of import was between 2003 and 2004 at around 4.6. After 2006, the average amount seems to be between 6 to 8 million metric tons.

Chart data: Year Imports in million metric tons Dec 31, 2000 5.8 Dec 31, 2001 4.9 Dec 31, 2002 4.6 Dec 31, 2003 4.6 Dec 31, 2004 4.8 Dec 31, 2005 6.5 Dec 31, 2006 7.3 Dec 31, 2007 7.1 Dec 31, 2008 6.4 Dec 31, 2009 6 Dec 31, 2010 6.8 Dec 31, 2011 11 Dec 31, 2012 9 Dec 31, 2013 8.5 Dec 31, 2014 8.4 Dec 31, 2015 7.4

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/25928.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Imports in million metric tons"}, "field": "Imports in million metric tons"}}, "title": ["Total U.S. grain imports from 2001 to 2016", "(in million metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Total U.S grain imports peaked in 2012, with more than 10 million metric tons imported. There are low-points in 2004 and 2010, the former being the lowest, measuring less than five million metric tons imported. On the whole, there is a rise in the amount of grain imported.

Chart data: Year Imports in million metric tons Dec 31, 2000 5.8 Dec 31, 2001 4.9 Dec 31, 2002 4.6 Dec 31, 2003 4.6 Dec 31, 2004 4.8 Dec 31, 2005 6.5 Dec 31, 2006 7.3 Dec 31, 2007 7.1 Dec 31, 2008 6.4 Dec 31, 2009 6 Dec 31, 2010 6.8 Dec 31, 2011 11 Dec 31, 2012 9 Dec 31, 2013 8.5 Dec 31, 2014 8.4 Dec 31, 2015 7.4

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/25928.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Imports in million metric tons"}, "field": "Imports in million metric tons"}}, "title": ["Total U.S. grain imports from 2001 to 2016", "(in million metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a steep increase in total U.S. grain imports from 2011 to 2012 (in million metric tons). The highest grain imports occurs in 2012.

Chart data: Year Imports in million metric tons Dec 31, 2000 5.8 Dec 31, 2001 4.9 Dec 31, 2002 4.6 Dec 31, 2003 4.6 Dec 31, 2004 4.8 Dec 31, 2005 6.5 Dec 31, 2006 7.3 Dec 31, 2007 7.1 Dec 31, 2008 6.4 Dec 31, 2009 6 Dec 31, 2010 6.8 Dec 31, 2011 11 Dec 31, 2012 9 Dec 31, 2013 8.5 Dec 31, 2014 8.4 Dec 31, 2015 7.4

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/25928.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Imports in million metric tons"}, "field": "Imports in million metric tons"}}, "title": ["Total U.S. grain imports from 2001 to 2016", "(in million metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: All of the drugs prices are between 500,000 and 1,000,000 U.S Dollars per year, apart from Zolgensma (AveXis).  Zolgensma (AveXis) is the highest priced drug. Lumizym (Sanofi Genzyme) is the lowest priced drug.

Chart data: Drug List price per year in U.S. dollars Zolgensma  (AveXis) 2125000 Myalept  (Amryt Pharma) 855678 Luxturna  (Spark Therapeutics) 850000 Folotyn  (Acrotech Biopharma) 793870 Brineura  (BioMarin Pharmaceuticals) 716040 Soliris  (Alexion Pharmaceuticals) 678392 Blincyto  (Amgen) 672968 Ravicti  (Horizon Therapeutics) 664092 Lumizyme  (Sanofi Genzyme) 643243 Actimmune  (Horizon Therapeutics) 633325

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/2592.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Drug"}, "y": {"type": "quantitative", "axis": {"title": "List price per year in U.S. dollars"}, "field": "List price per year in U\\.S\\. dollars"}}, "title": ["Most expensive drugs in the U.S. based on", "annual list price as of 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Email and Facebook are the categories which have the highest share of respondents at the maximum 0.3. Websites are the next highest category at a 0.13 - 0.14 share of respondents. Texting is the next highest category at a 0.07 - 0.09 share. All the remaining categories have a much lower share of respondents compared to the inital categories described earlier. These remaining categories do not have a share greater than roughly 0.04. YouTube and impersonations are the categories with the lowest share at roughly 0.01 - 0.02.

Chart data: Share of respondents Response 0.3 E-mail 0.3 Facebook 0.14 Web site 0.08 Texting 0.04 Message board (including Yahoo Groups, newsgroups) 0.03 Dating site 0.03 Twitter 0.02 Myspace 0.02 Instant messaging 0.02 Blogs 0.01 Impersonation 0.01 Youtube

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/25934.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}}, "title": ["Distribution of cyber stalking victims in", "2013 , by how harassment began"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Starting in 1999 at around 2.5 million U.S. dollars, apart from dropping in 2003 and 2009, the Foundation's  disbursements have grown each year.  Between 2004 and 2008 saw the highest growth where it rose from 600 million U.S. dollars to almost 2,000 million U.S. dollars.  By 2013 it stood at almost 2,000 million U.S. dollars.

Chart data: Year Disbursements in million U.S. dollars Dec 31, 1998 144.3 Dec 31, 1999 480.69 Dec 31, 2000 487.96 Dec 31, 2001 519.25 Dec 31, 2002 716.85 Dec 31, 2003 593.71 Dec 31, 2004 853.88 Dec 31, 2005 1123.96 Dec 31, 2006 1523.29 Dec 31, 2007 1938.92 Dec 31, 2008 1673.86 Dec 31, 2009 1665.13 Dec 31, 2010 1988.84 Dec 31, 2011 1879.45 Dec 31, 2012 2325.66

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/25941.tsv"}, "mark": "area", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Disbursements in million U.S. dollars"}, "field": "Disbursements in million U\\.S\\. dollars"}}, "title": ["Bill and Melinda Gates Foundation disbursements", "on global health from 1999 to 2013 (in million", "U.S dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Broadly there was an increase in average annual expenditure from 2007 to 2010. The years from 2010 onwards demonstrated a general steady rise until the period end other than in 2013 when there was a slight dip. From 2017 to 2019, the graph shows expenditure rising above the maximum 2,000 on the y axis.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 1797.15 Dec 31, 2007 1624.39 Dec 31, 2008 1505.57 Dec 31, 2009 1466.67 Dec 31, 2010 1513.98 Dec 31, 2011 1579.92 Dec 31, 2012 1541.64 Dec 31, 2013 1580.51 Dec 31, 2014 1818.31 Dec 31, 2015 1829.43 Dec 31, 2016 1987.12 Dec 31, 2017 2024.9 Dec 31, 2018 2098.37

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/25943.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Average annual expenditure in U.S. dollars"}, "field": "Average annual expenditure in U\\.S\\. dollars"}}, "title": ["Average annual expenditure on household", "furnishings and equipment per consumer unit", "in the United States from 2007 to 2019 (in", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: I can't really tell any trends in this graph, sorry.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 1797.15 Dec 31, 2007 1624.39 Dec 31, 2008 1505.57 Dec 31, 2009 1466.67 Dec 31, 2010 1513.98 Dec 31, 2011 1579.92 Dec 31, 2012 1541.64 Dec 31, 2013 1580.51 Dec 31, 2014 1818.31 Dec 31, 2015 1829.43 Dec 31, 2016 1987.12 Dec 31, 2017 2024.9 Dec 31, 2018 2098.37

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/25943.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Average annual expenditure in U.S. dollars"}, "field": "Average annual expenditure in U\\.S\\. dollars"}}, "title": ["Average annual expenditure on household", "furnishings and equipment per consumer unit", "in the United States from 2007 to 2019 (in", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Malaysia has the largest number of hotels with adequate wifi quality, followed by Turkey. The equal worst performers are Cambodia and Greece.

Chart data: Response Share of hotels with adequate Wi-Fi quality Cambodia 0.207 Greece 0.208 Indonesia 0.217 Philippines 0.233 Portugal 0.258 Dominican Republic 0.28 France 0.296 Spain 0.321 Turkey 0.327 Malaysia 0.342

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/25954.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Share of hotels with adequate Wi-Fi quality"}, "field": "Share of hotels with adequate Wi-Fi quality"}}, "title": ["Countries with the worst hotel Wi-Fi quality", "worldwide as of January 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows that the most popular type of camping trip in North America in 2015 was "weekend getaways" with "a family vacation" being a close second. The least common type is shown as "business".

Chart data: Share of respondents Response 0.54 Weekend getaways 0.51 A family vacation 0.37 Recreation* 0.27 Visiting friends or relatives 0.14 Back country 0.14 A reunion or group event 0.1 Shopping 0.1 Traveling cross-country 0.07 Church/city group camp 0.07 Casino/gambling 0.06 Summer camps** 0.07 Sporting events 0.06 Bike events 0.05 Boy scouts 0.05 Child-related events*** 0.04 NASCAR or other racing events 0.03 Business

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/25962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdcdac"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Most popular types of camping trip in North", "America in 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Some of the most popular types of camping trips are typically a family vacation, has some type of recreational activity involved and is a weekend getaway. Camping trips are least likely to be for a business trip.

Chart data: Share of respondents Response 0.54 Weekend getaways 0.51 A family vacation 0.37 Recreation* 0.27 Visiting friends or relatives 0.14 Back country 0.14 A reunion or group event 0.1 Shopping 0.1 Traveling cross-country 0.07 Church/city group camp 0.07 Casino/gambling 0.06 Summer camps** 0.07 Sporting events 0.06 Bike events 0.05 Boy scouts 0.05 Child-related events*** 0.04 NASCAR or other racing events 0.03 Business

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/25962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdcdac"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Most popular types of camping trip in North", "America in 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There were more sales in 2018 than any year since 2010. 2019 had a slight decline in net sales but still more than 2017.

Chart data: Net sales in million Brazilian reals Year 39644.01 2019 46159.48 2018 36917.62 2017 37651.67 2016 43581.24 2015* 42546.34 2014 39863.04 2013 37981.67 2012 35406.78 2011 31393.21 2010

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/25968.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#a55194"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Net sales in million Brazilian reals"}, "field": "Net sales in million Brazilian reals"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}}, "title": ["Net sales of Gerdau S.A. from FY 2010 to", "FY 2019 (in million Brazilian reals)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The period of time between 1960 and 1995 showed a sharp decline in the birth rate in Bulgaria.

Chart data: Year Birth rate per thousand population Dec 31, 1959 17.8 Dec 31, 1969 16.3 Dec 31, 1979 14.5 Dec 31, 1989 12.1 Dec 31, 1999 9 Dec 31, 2009 10.2 Dec 31, 2010 9.6 Dec 31, 2011 9.5 Dec 31, 2012 9.2 Dec 31, 2013 9.4 Dec 31, 2014 9.2 Dec 31, 2015 9.1 Dec 31, 2016 9 Dec 31, 2017 8.9

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/25973.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Birth rate per thousand population"}, "field": "Birth rate per thousand population"}}, "title": ["Crude rate of birth in Bulgaria from 1960", "to 2018 (per 1,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows that the birth rate in Bulgaria decreased from over 15 per 1000 people in 1960 down to just below 10 in 2018. The steepest decline was observed between 1960 and the late 1990s. After this point, the birth rate briefly increased above 10 per 1000 people before reducing again.

Chart data: Year Birth rate per thousand population Dec 31, 1959 17.8 Dec 31, 1969 16.3 Dec 31, 1979 14.5 Dec 31, 1989 12.1 Dec 31, 1999 9 Dec 31, 2009 10.2 Dec 31, 2010 9.6 Dec 31, 2011 9.5 Dec 31, 2012 9.2 Dec 31, 2013 9.4 Dec 31, 2014 9.2 Dec 31, 2015 9.1 Dec 31, 2016 9 Dec 31, 2017 8.9

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/25973.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Birth rate per thousand population"}, "field": "Birth rate per thousand population"}}, "title": ["Crude rate of birth in Bulgaria from 1960", "to 2018 (per 1,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has not been much change between 2008 and 2018 in terms of the annual turn over.

Chart data: Annual turnover in million euros Year 10436.3 2018 10255 2017 9681.8 2016 10306.4 2015 9864.1 2014 9931.8 2013 10234.4 2012 10529.5 2011 9873.3 2010 10048.3 2009 11046.3 2008*

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/25974.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ff9e27"}, "x": {"type": "quantitative", "axis": {"title": "Annual turnover in million euros"}, "field": "Annual turnover in million euros"}, "y": {"type": "nominal", "axis": {"labelAngle": 0}, "bin": false, "field": "Year"}}, "title": ["Annual turnover of the waste collection", "industry in Italy from 2008 to 2018 (in million", "euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph fluctuates, taking a dip from 2008-2011 and rising again afterwards where it reaches 80,000. it then falls again to just above 20,000 until 2019 where it increases to just above 60,000.

Chart data: Year Transport volume in million tonne-kilometres 2019 65906 2018 32699 2017 31287 2016* 29042 2015* 63620 2014 72317 2013 80101 2012* 80762 2011 59144 2010 53955 2009 52686 2008 63705 2007 86027 2006 86727

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/25977.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d365ba"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Transport volume in million tonne-kilometres"}, "field": "Transport volume in million tonne-kilometres"}}, "title": ["Amount of freight transported by inland", "waterway in Russia from 2006 to 2019 (in", "million tonne-kilometres)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy in Uganda has been on the rise since 2008.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 54.98 Dec 31, 2008 56.06 Dec 31, 2009 57.1 Dec 31, 2010 58.09 Dec 31, 2011 59.02 Dec 31, 2012 59.88 Dec 31, 2013 60.67 Dec 31, 2014 61.37 Dec 31, 2015 61.99 Dec 31, 2016 62.52 Dec 31, 2017 62.97

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/25981.tsv"}, "mark": "line", "encoding": {"color": {"value": "#71598e"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Uganda : Life expectancy at birth from 2008", "to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The life expectancy rate has continues to rise slowly over the past ten years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 74.71 Dec 31, 2008 74.9 Dec 31, 2009 75.09 Dec 31, 2010 75.29 Dec 31, 2011 75.5 Dec 31, 2012 75.71 Dec 31, 2013 75.92 Dec 31, 2014 76.14 Dec 31, 2015 76.37 Dec 31, 2016 76.58 Dec 31, 2017 76.8

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/25983.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7ba52"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Ecuador : Life expectancy at birth from", "2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The CPI of beer in the Netherlands stays fairly consistent throughout 2009-2019. It begins to increase but then decreases back again after 2014. The CPI is the lowest in 2009 at 85 and is the highest in 2014.

Chart data: Consumer price index (2015=100)* Year 103.4 2019** 102.72 2018 100.87 2017 100.69 2016 100 2015 101.64 2014 99 2013 93.12 2012 89.74 2011 90.16 2010 89.29 2009

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/25984.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#51b2e5"}, "x": {"type": "quantitative", "axis": {"title": "Consumer price index (2015=100)*"}, "field": "Consumer price index (2015=100)*"}, "y": {"type": "nominal", "axis": {"labelAngle": 0}, "bin": false, "field": "Year"}}, "title": ["Consumer price index (CPI) of beer annually", "in the Netherlands from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: It shows Italy has the most non performing loans. The graph shows Sweden has the least non performing loans.

Chart data: Non-performing loan value in billion euros Country 276 Italy 148 France 141 Spain 115 Greece 91 United Kingdom 68 Germany 45 Netherlands 41 Portugal 33 Ireland 25 Austria 21 Belgium 21 Cyprus 20 Denmark 11 Sweden

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/25991.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f4cae4"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Non-performing loan value in billion euros"}, "field": "Non-performing loan value in billion euros"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Value of total non-performing loans in Europe", "as of June 2016 , by country (in billion", "euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Company has made money in all years apart from 2012. Company has made a similar amount of money in each of the other years.

Chart data: Fiscal year Net earnings in million U.S. dollars Dec 31, 2010 4119 Dec 31, 2011 −14761 Dec 31, 2012 2051 Dec 31, 2013 1648 Dec 31, 2014 2461 Dec 31, 2015 3161 Dec 31, 2016 344 Dec 31, 2017 1908 Dec 31, 2018 1049 Dec 31, 2019 −322

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/25992.tsv"}, "mark": "area", "encoding": {"color": {"value": "#30a2da"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Fiscal year"}, "y": {"type": "quantitative", "axis": {"title": "Net earnings in million U.S. dollars"}, "field": "Net earnings in million U\\.S\\. dollars"}}, "title": ["HPE 's (Hewlett Packard Enterprise 's) net", "earnings from 2011 to 2020 (in million U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most frequent age for marriage in Sweden in 2019 was the 30-34 age bracket, with frequency steadily declining after this.

Chart data: Year Number of people 85 years and older 38 80-84 years 109 75-79 years 352 70-74 years 834 65-69 years 1582 60-64 years 2739 55-59 years 4077 50-54 years 5887 45-49 years 6617 40-44 years 8390 35-39 years 12784 30-34 years 20987 25-29 years 19248 20-24 years 5056 19 years and younger 488

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/25994.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3690c0"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of people"}, "field": "Number of people"}}, "title": ["Number of newlyweds in Sweden in 2019 ,", "by age group"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is no clear trend in the area of land burned by forest fires in Canada over the period 2000 to 2019. The smallest area of land burned by forest fires in Canada was in 2001. The largest area of land burned by forest fires in Canada was in 2014.

Chart data: Year Area burned in hectares Dec 31, 1999 665331 Dec 31, 2000 626420 Dec 31, 2001 2770408 Dec 31, 2002 1743436 Dec 31, 2003 3183814 Dec 31, 2004 1671524 Dec 31, 2005 2250815 Dec 31, 2006 1542202 Dec 31, 2007 1712056 Dec 31, 2008 775025 Dec 31, 2009 3052473 Dec 31, 2010 2428798 Dec 31, 2011 2003270 Dec 31, 2012 4210137 Dec 31, 2013 4563327 Dec 31, 2014 3861647 Dec 31, 2015 1311636 Dec 31, 2016 3419856 Dec 31, 2017 2278081 Dec 31, 2018 1842612

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/25997.tsv"}, "mark": "line", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Area burned in hectares"}, "field": "Area burned in hectares"}}, "title": ["Area of land burned by forest fires in Canada", "from 2000 to 2019 (in hectares)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: production averaged about 3.1 million tonnes over the period. Production was at its highest of 3.5 million tonnes in 2010. Production was lowest in 2012 at 2.9 million tonnes. Production has generally been lower since 2011 hovering around 3 million tonnes.

Chart data: Year Production in metric tons Dec 31, 2003 3200 Dec 31, 2004 3431 Dec 31, 2005 3262 Dec 31, 2006 3413 Dec 31, 2007 3521 Dec 31, 2008 3564 Dec 31, 2009 3562 Dec 31, 2010 2993 Dec 31, 2011 2872 Dec 31, 2012 3135 Dec 31, 2013 2990 Dec 31, 2014 3055 Dec 31, 2015 3004 Dec 31, 2016 2917 Dec 31, 2017 2904 Dec 31, 2018 2911

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/25998.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Production in metric tons"}, "field": "Production in metric tons"}}, "title": ["Russia 's uranium mine production from 2004", "to 2019 (in metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: this graph shows that the most popular dating app in the us is tinder. the second most popular is bumble.

Chart data: Audience size in millions online dating service 7.86 tinder 5.03 Bumble 4.28 POF (main) 1.95 Match.com (main) 1.79 OkCupid (main) 1.64 Grindr 1.21 Hinge 0.91 Zoosk 0.91 MeetMe 0.85 Ashley Madison

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/259.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#cccccc"}, "x": {"type": "quantitative", "axis": {"title": "Audience size in millions"}, "field": "Audience size in millions"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "online dating service"}}, "title": ["Most popular online dating apps in the United", "States as of September 2019 , by audience", "size (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: It shows a quick turn around has developed over the years.

Chart data: Average pre-berthing time in days year 1.07 FY 2019 0.96 FY 2018 0.46 FY 2017 1.27 FY 2016 1.69 FY 2015 1.18 FY 2014 1.62 FY 2013 1.37 FY 2012 1.23 FY 2011 1.06 FY 2010 1.26 FY 2001 3.4 FY 1991

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/26014.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e6f5c9"}, "x": {"type": "quantitative", "axis": {"title": "Average pre-berthing time in days"}, "field": "Average pre-berthing time in days"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "year"}}, "title": ["Average pre-berthing time at Mumbai Port", "in India from financial year 1991 to 2019", "(in days)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The quantity of coal imported to the UK from Columbia peaked in 2013 after a steap incline. However the quantity has subsequently dropped significantly, nearing nil in 2017-2019.

Chart data: Year Import volume in thousand metric tons 2019* 1135 2018 635 2017 731 2016 2667 2015 7070 2014 9700 2013 11494 2012 11749 2011 8010 2010 6317 2009 5233 2008 5294 2007 3855 2006 3883 2005 3369 2004 3610 2003 3098 2002 3802

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/26016.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#a6bddb"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Import volume in thousand metric tons"}, "field": "Import volume in thousand metric tons"}}, "title": ["Coal imported in to the United Kingdom (UK)", "from Colombia from 2002 to 2019 (in 1,000", "metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}