delen/vistext huggingface dataset:
Chart description: The highest average daily rate of Marriott International hotels worldwide was at 203.23.

Chart data: Caribbean & Latin America North America 178.59 142.85 183.64 150 190.75 157.05 209.79 163.24 239.95 173.11 248.05 179.53 213.99 194.64 196.31 195.15 202.84 198.66 203.23 202.75

Vega-Lite specification:
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Chart description: Between 2014 and 2016, the average daily rate of Marriott International hotels worldwide remained static. 2013 was the year in which the average daily rate of Marriott International hotels worldwide was at the highest. There is no data available for 2016 to 2018.

Chart data: Year Overall worldwide Dec 31, 2009 150.46 Dec 31, 2010 158.15 Dec 31, 2011 162.39 Dec 31, 2012 185.74 Dec 31, 2013 178.96 Dec 31, 2014 178.46 Dec 31, 2015 177.11 Dec 31, 2016 0 Dec 31, 2017 182.67 Dec 31, 2018 182.6

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": "multiColumn/data/560.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Overall worldwide"}, "field": "Overall worldwide"}}, "title": ["Average daily rate of Marriott International", "hotels worldwide from 2010 to 2019 , by region", "(in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The average rate of a Marriott hotel has increased by around 16% over the last decade.

Chart data: Year Overall worldwide Dec 31, 2009 150.46 Dec 31, 2010 158.15 Dec 31, 2011 162.39 Dec 31, 2012 185.74 Dec 31, 2013 178.96 Dec 31, 2014 178.46 Dec 31, 2015 177.11 Dec 31, 2016 0 Dec 31, 2017 182.67 Dec 31, 2018 182.6

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": "multiColumn/data/560.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Overall worldwide"}, "field": "Overall worldwide"}}, "title": ["Average daily rate of Marriott International", "hotels worldwide from 2010 to 2019 , by region", "(in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Daily dollar rate in Carribean and Latin America based Marriott International hotels from 2010 to 2019 is, overall, greater than the rest of the world. C and LA rates fall into 3 groups of similar pricings between a) $248/213 b) $209/202 c) $190/178.

Chart data: Overall worldwide Caribbean & Latin America 150.46 178.59 158.15 183.64 162.39 190.75 185.74 209.79 178.96 239.95 178.46 248.05 177.11 213.99 182.67 202.84 182.6 203.23

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": "multiColumn/data/560.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "quantitative", "axis": {"title": "Overall worldwide"}, "field": "Overall worldwide"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Caribbean & Latin America"}}, "title": ["Average daily rate of Marriott International", "hotels worldwide from 2010 to 2019 , by region", "(in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2020 and 2016 average daily rate was between 150 and 200 dollars.

Chart data: Year Europe* Dec 31, 2009 161.63 Dec 31, 2010 175.2 Dec 31, 2011 170.72 Dec 31, 2012 172.01 Dec 31, 2013 193.2 Dec 31, 2014 173.07 Dec 31, 2015 173.84 Dec 31, 2016 188.69 Dec 31, 2017 205.15 Dec 31, 2018 200.21

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": "multiColumn/data/560.tsv"}, "mark": "line", "encoding": {"color": {"value": "#637939"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Europe*"}, "field": "Europe*"}}, "title": ["Average daily rate of Marriott International", "hotels worldwide from 2010 to 2019 , by region", "(in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The daily rate for the Marriott hotels peaked in 2014 however it has been on a steady decline ever since but not dipping below $150.

Chart data: Year Middle East & Africa Dec 31, 2009 133.18 Dec 31, 2010 141.22 Dec 31, 2011 133.14 Dec 31, 2012 147.63 Dec 31, 2013 190.6 Dec 31, 2014 181.16 Dec 31, 2015 164.9 Dec 31, 2016 161.95 Dec 31, 2017 154.17 Dec 31, 2018 156.43

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": "multiColumn/data/560.tsv"}, "mark": "line", "encoding": {"color": {"value": "#666666"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Middle East & Africa"}, "field": "Middle East & Africa"}}, "title": ["Average daily rate of Marriott International", "hotels worldwide from 2010 to 2019 , by region", "(in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been very little overall change in income levels between 2006 and 2018. Income did start to increase but peaked in 2012 and is now lower than it was in 2006.

Chart data: Annual household income in U\.S\. dollars Under 15,000 ec 31, 2005 0.129 ec 31, 2006 0.127 ec 31, 2007 0.141 ec 31, 2008 0.137 ec 31, 2009 0.148 ec 31, 2010 0.151 ec 31, 2011 0.152 ec 31, 2012 0.138 ec 31, 2013 0.139 ec 31, 2014 0.13 ec 31, 2015 0.121 ec 31, 2016 0.121 ec 31, 2017 0.114

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": "multiColumn/data/5611.tsv"}, "mark": "line", "encoding": {"color": {"value": "#666666"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Annual household income in U\\.S\\. dollars"}, "y": {"type": "quantitative", "axis": {"title": "Under 15,000"}, "field": "Under 15,000"}}, "title": ["Percentage distribution of Hispanic household", "income in the United States from 2006 to", "2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Hispanic Income was at it's highest in 2010 and then again in 2013. There seems to be a steady decline in income since then. Income does appear to be slightly lower in 2018 than it was in 2006.

Chart data: Annual household income in U\.S\. dollars 25,000 to 34,999 ec 31, 2005 0.112 ec 31, 2006 0.115 ec 31, 2007 0.112 ec 31, 2008 0.119 ec 31, 2009 0.133 ec 31, 2010 0.132 ec 31, 2011 0.133 ec 31, 2012 0.134 ec 31, 2013 0.119 ec 31, 2014 0.126 ec 31, 2015 0.116 ec 31, 2016 0.112 ec 31, 2017 0.108

Vega-Lite specification:
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Chart description: According to the chart sporting goods stores saw the largest fall in sales during April 20, the most sales were seen in June 20.

Chart data: Month Sporting goods stores Oct20 0.141 Aug20 0.08 Jun20 0.224 Apr20 −0.487 Feb20 0.001 Dec19 −0.004 Oct19 0.004 Aug19 0.038 Jun19 −0.053 Apr19 −0.047 Feb19 −0.082

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": "multiColumn/data/5616.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Sporting goods stores"}, "field": "Sporting goods stores"}}, "title": ["Monthly year-over-year retail sales development", "in the United States from 2019 to 2020 ,", "by sector"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Transport of goods from Polamd remained consistent during the pandemic.

Chart data: Total Month 50479 October 48804 September 45074 August 46257 July 44477 June 43174 May 43379 April 47838 March 45582 February 44483 January

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": "multiColumn/data/5618.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c4c4c4"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Total"}, "field": "Total"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}}, "title": ["Transport of goods during the coronavirus", "(COVID-19) epidemic in Poland from January", "to October 2020 , by type of transport (in", "1,000 metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is very little difference in each month on this chart, with all months transporting around 45,000 metric tons. October and September were slightly higher.  To try and make much more sense of it you need to reorganise the months chronologically.

Chart data: Total Month 50479 October 48804 September 45074 August 46257 July 44477 June 43174 May 43379 April 47838 March 45582 February 44483 January

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": "multiColumn/data/5618.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c4c4c4"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Total"}, "field": "Total"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}}, "title": ["Transport of goods during the coronavirus", "(COVID-19) epidemic in Poland from January", "to October 2020 , by type of transport (in", "1,000 metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest transport done was in October -20,000 and the lowest month was May at 15,000.

Chart data: Month Railway* October 20371 September 19257 August 18499 July 18154 June 16935 May 16074 April 16281 March 18847 February 17572 January 16822

Vega-Lite specification:
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Chart description: Almost all agree that the single euro currency helped in travel in eurozone.

Chart data: Response Has made travelling easier and less costly Dec 31, 2009 0.48 Dec 31, 2010 0.5 Dec 31, 2011 0.48 Dec 31, 2012 0.48 Dec 31, 2013 0.5 Dec 31, 2014 0.51 Dec 31, 2015 0.47 Dec 31, 2016 0.5 Dec 31, 2017 0.5 Dec 31, 2018 0.52

Vega-Lite specification:
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Chart description: The industry shown represented around 0.5% of Gabons GDP in 2009. From 2009-2011, this figure grew steadily to around 0.6%. From 2011-2016, the industry steadily declined year on year to a low of around 0.45% in 2016. It grew slightly into 2017. It grew at a faster rate into 2018, almost reaching 0.5%. It fell slightly from this figure in 2019. Overall, the industry has posted a slight decline over this period.

Chart data: Year Industry Dec 31, 2008 0.5045 Dec 31, 2009 0.5519 Dec 31, 2010 0.6088 Dec 31, 2011 0.5882 Dec 31, 2012 0.5661 Dec 31, 2013 0.5272 Dec 31, 2014 0.4818 Dec 31, 2015 0.4504 Dec 31, 2016 0.4547 Dec 31, 2017 0.4878 Dec 31, 2018 0.4847

Vega-Lite specification:
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Chart description: Industry increased exponentially in 2011, however dropped to an all time low in 2016, before slowly recovering.

Chart data: Year Industry Dec 31, 2008 0.5045 Dec 31, 2009 0.5519 Dec 31, 2010 0.6088 Dec 31, 2011 0.5882 Dec 31, 2012 0.5661 Dec 31, 2013 0.5272 Dec 31, 2014 0.4818 Dec 31, 2015 0.4504 Dec 31, 2016 0.4547 Dec 31, 2017 0.4878 Dec 31, 2018 0.4847

Vega-Lite specification:
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Chart description: GDP peaked in 2011 then continued to fall until 2016. It then slightly increased upto 2019.

Chart data: Year Industry Dec 31, 2008 0.5045 Dec 31, 2009 0.5519 Dec 31, 2010 0.6088 Dec 31, 2011 0.5882 Dec 31, 2012 0.5661 Dec 31, 2013 0.5272 Dec 31, 2014 0.4818 Dec 31, 2015 0.4504 Dec 31, 2016 0.4547 Dec 31, 2017 0.4878 Dec 31, 2018 0.4847

Vega-Lite specification:
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Chart description: A sharp increase from 2009 to 2011 but that leads to a slow decline over the next five years which plateaus and starts to rise again into 2018.

Chart data: Year Industry Dec 31, 2008 0.5045 Dec 31, 2009 0.5519 Dec 31, 2010 0.6088 Dec 31, 2011 0.5882 Dec 31, 2012 0.5661 Dec 31, 2013 0.5272 Dec 31, 2014 0.4818 Dec 31, 2015 0.4504 Dec 31, 2016 0.4547 Dec 31, 2017 0.4878 Dec 31, 2018 0.4847

Vega-Lite specification:
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Chart description: There is a steady increase up to 2011 then a decrease up to 2016 then levels out in 2018.

Chart data: Year Industry Dec 31, 2008 0.5045 Dec 31, 2009 0.5519 Dec 31, 2010 0.6088 Dec 31, 2011 0.5882 Dec 31, 2012 0.5661 Dec 31, 2013 0.5272 Dec 31, 2014 0.4818 Dec 31, 2015 0.4504 Dec 31, 2016 0.4547 Dec 31, 2017 0.4878 Dec 31, 2018 0.4847

Vega-Lite specification:
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Chart description: this graph shows the share of gabons gdp the services is taking is increasing over the years. in the first few years it was falling. however from 2011 onwards it as been on an upwards trend.

Chart data: Year Services Dec 31, 2008 0.3682 Dec 31, 2009 0.3243 Dec 31, 2010 0.2752 Dec 31, 2011 0.2957 Dec 31, 2012 0.3186 Dec 31, 2013 0.3535 Dec 31, 2014 0.3903 Dec 31, 2015 0.4174 Dec 31, 2016 0.4265 Dec 31, 2017 0.4063 Dec 31, 2018 0.4011

Vega-Lite specification:
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Chart description: There are fewer people between the ages of 0-14 years in Canada in 2019, than there were in 2009.

Chart data: Year 0-14 years Dec 31, 2008 0.1668 Dec 31, 2009 0.1649 Dec 31, 2010 0.1642 Dec 31, 2011 0.163 Dec 31, 2012 0.1617 Dec 31, 2013 0.1606 Dec 31, 2014 0.1599 Dec 31, 2015 0.159 Dec 31, 2016 0.1587 Dec 31, 2017 0.1587 Dec 31, 2018 0.1585

Vega-Lite specification:
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Chart description: The most popular being 0.6 and least popular is social medial at 0.05.

Chart data: Response Traditional agencies with $3m to $10m revenue Familiarization trips 0.58 Educational programs 0.48 Email updates on special offers 0.51 Overrides / incentives 0.57 Agent portion of websites 0.34 Consumer referrals 0.2 Co-op marketing efforts 0.29 Co-op advertising 0.34 Trade publication offers 0.12 Mail updates on special offers 0.1 Social media co-op 0.07

Vega-Lite specification:
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Chart description: The support service with the highest agency size is 'Familiarization trips' with agency size of 0.65. The support service with the lowest agency size is 'Social Media Co-op' with an agency size of approximately 0.08. This is an extremely badly arranged chart. The units on the x axis have not been clearly defined.

Chart data: Home-based agents with $250,000 plus revenue Response 0.65 Familiarization trips 0.56 Educational programs 0.46 Email updates on special offers 0.49 Overrides / incentives 0.39 Agent portion of websites 0.3 Consumer referrals 0.19 Co-op marketing efforts 0.14 Co-op advertising 0.13 Trade publication offers 0.12 Mail updates on special offers 0.08 Social media co-op

Vega-Lite specification:
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Chart description: July had the highest rise in value exceeding 250. March has the lowest drop in value falling under 200.

Chart data: Month 2016 De  223.1; Month: Dec No  222.8; Month: Nov Oc  201.9; Month: Oct Se  232.3; Month: Sep Au  248.5; Month: Aug Ju  263.6; Month: Jul Ju  228.1; Month: Jun Ma  210.3; Month: May Ap  203.8; Month: Apr Ma  194.3; Month: Mar Fe  203.7; Month: Feb Ja  208.2; Month: Jan

Vega-Lite specification:
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Chart description: Sicily is way ahead of the other areas . campanula and Mombardy are close followers.

Chart data: Operational capacity region of Italy 6156 Lombardy 6050 Campania 6446 Sicily 5213 Lazio 3938 Piedmont 2683 Apulia 3100 Tuscany 2995 Emilia-Romagna 2710 Calabria 1915 Veneto 2611 Sardinia 1655 Abruzzo 1120 Liguria 1323 Umbria 846 Marche 464 Friuli-Venezia Giulia 497 Trentino-South Tyrol 407 Basilicata 268 Molise 177 Aosta Valley

Vega-Lite specification:
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Chart description: In 2020, Sicily had the highest prison capacity in Italy, followed closely by Lombardy and Campania. These regions each had a capacity of over 6000.  The Aosta Valley had the lowest prison capacity. Ten regions had a prison capacity of over 2000.  Six regions had a capacity of under 1000.

Chart data: Operational capacity region of Italy 6156 Lombardy 6050 Campania 6446 Sicily 5213 Lazio 3938 Piedmont 2683 Apulia 3100 Tuscany 2995 Emilia-Romagna 2710 Calabria 1915 Veneto 2611 Sardinia 1655 Abruzzo 1120 Liguria 1323 Umbria 846 Marche 464 Friuli-Venezia Giulia 497 Trentino-South Tyrol 407 Basilicata 268 Molise 177 Aosta Valley

Vega-Lite specification:
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Chart description: The Lombardy region has the most prison capacity and population at nearly 8000. This contrasts with Aosta valley which seems to have substantially less than 1000. It does show that each region showed has a prison population and capacity.

Chart data: Current population region of Italy 7569 Lombardy 6422 Campania 5816 Sicily 5803 Lazio 4235 Piedmont 3463 Apulia 3229 Tuscany 3071 Emilia-Romagna 2603 Calabria 2286 Veneto 2051 Sardinia 1753 Abruzzo 1443 Liguria 1361 Umbria 875 Marche 612 Friuli-Venezia Giulia 392 Trentino-South Tyrol 387 Basilicata 372 Molise 178 Aosta Valley

Vega-Lite specification:
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Chart description: pasta sales were highest in russia in march 16 22 lowest in feb 10 16.

Chart data: Month Pasta Apr 6-12 1.4 Mar 30-Apr 5 1.76 Mar 23-29 2.67 Mar 16-22 3.5 Mar 9-15 2.73 Mar 2-8 2.09 Feb 24-Mar 1 0.7 Feb 17-23 0.21 Feb 10-16 0.48 Feb 3-9 0.61

Vega-Lite specification:
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Chart description: Overall, March had the highest online sales for toilet paper during the COVID-19 pandemic. March 16-22nd shows the highest spike for online sales overall from dates Feb 3 - April 12th 2020.

Chart data: Toilet paper Month 0.58 Apr 6-12 1.11 Mar 30-Apr 5 1.62 Mar 23-29 2.78 Mar 16-22 1.85 Mar 9-15 1.25 Mar 2-8 0.34 Feb 24-Mar 1 0.19 Feb 17-23 0.21 Feb 10-16 0.22 Feb 3-9

Vega-Lite specification:
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Chart description: The only trend I can observe is that from March onwards Laundry Detergents was sold as a much higher rate from this point onwards reach over 2.0, and kept higher than the months before March which was low than 1.0 so you can notice the 100% increase after March.

Chart data: Month Laundry detergents Apr 6-12 0.91 Mar 30-Apr 5 1.28 Mar 23-29 1.59 Mar 16-22 2.11 Mar 9-15 1.48 Mar 2-8 1.11 Feb 24-Mar 1 0.57 Feb 17-23 0.57 Feb 10-16 0.94 Feb 3-9 0.9

Vega-Lite specification:
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