delen/vistext huggingface dataset:
Chart description: The proportion of respondents stating they would vote in the Duma election fell by 2/3 over an 18 month period. The proportion of people stating they would vote in the Duma election remained constant for an initial 12 moth period and then dropped off sharply over the following 6 months. Throughout the 18 month period there are brief spikes where the proportion of people saying they would vote increases significantly.

Chart data: Response I would not go to elections Jan 26, 2019 0.14 Feb 23, 2019 0.13 Mar 30, 2019 0.12 Apr 27, 2019 0.12 May 25, 2019 0.12 Jun 29, 2019 0.12 Jul 27, 2019 0.13 Aug 24, 2019 0.12 Sep 28, 2019 0.14 Oct 26, 2019 0.13 Nov 23, 2019 0.12 Dec 21, 2019 0.13 Jan 25, 2020 0.1 Feb 22, 2020 0.1 Mar 28, 2020 0.05 Apr 25, 2020 0.05 May 30, 2020 0.08 Jun 27, 2020 0.04 Jul 25, 2020 0.04 Aug 29, 2020 0.07 Sep 26, 2020 0.05 Oct 24, 2020 0.06

Vega-Lite specification:
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Chart description: the chart shows more people are likely to go for elections between April and October.

Chart data: Response I would not go to elections Jan 26, 2019 0.14 Feb 23, 2019 0.13 Mar 30, 2019 0.12 Apr 27, 2019 0.12 May 25, 2019 0.12 Jun 29, 2019 0.12 Jul 27, 2019 0.13 Aug 24, 2019 0.12 Sep 28, 2019 0.14 Oct 26, 2019 0.13 Nov 23, 2019 0.12 Dec 21, 2019 0.13 Jan 25, 2020 0.1 Feb 22, 2020 0.1 Mar 28, 2020 0.05 Apr 25, 2020 0.05 May 30, 2020 0.08 Jun 27, 2020 0.04 Jul 25, 2020 0.04 Aug 29, 2020 0.07 Sep 26, 2020 0.05 Oct 24, 2020 0.06

Vega-Lite specification:
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Chart description: Thre x-axis covers 1 and three quarter years in total. In the second half of the time period there was a large jump in the proportion of people who thought it was difficult to answer, to about 0.20 (20%). By the most recent time, this has dropped again to the value it was for most of the first half of the time period (0.15, 15%).

Chart data: Response Difficult to answer Jan 26, 2019 0.19 Feb 23, 2019 0.16 Mar 30, 2019 0.16 Apr 27, 2019 0.17 May 25, 2019 0.16 Jun 29, 2019 0.16 Jul 27, 2019 0.15 Aug 24, 2019 0.15 Sep 28, 2019 0.16 Oct 26, 2019 0.16 Nov 23, 2019 0.15 Dec 21, 2019 0.15 Jan 25, 2020 0.19 Feb 22, 2020 0.2 Mar 28, 2020 0.19 Apr 25, 2020 0.19 May 30, 2020 0.2 Jun 27, 2020 0.2 Jul 25, 2020 0.2 Aug 29, 2020 0.19 Sep 26, 2020 0.16 Oct 24, 2020 0.16

Vega-Lite specification:
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Chart description: From October it started to increase till next october where it went back to its original position.

Chart data: Response Difficult to answer Jan 26, 2019 0.19 Feb 23, 2019 0.16 Mar 30, 2019 0.16 Apr 27, 2019 0.17 May 25, 2019 0.16 Jun 29, 2019 0.16 Jul 27, 2019 0.15 Aug 24, 2019 0.15 Sep 28, 2019 0.16 Oct 26, 2019 0.16 Nov 23, 2019 0.15 Dec 21, 2019 0.15 Jan 25, 2020 0.19 Feb 22, 2020 0.2 Mar 28, 2020 0.19 Apr 25, 2020 0.19 May 30, 2020 0.2 Jun 27, 2020 0.2 Jul 25, 2020 0.2 Aug 29, 2020 0.19 Sep 26, 2020 0.16 Oct 24, 2020 0.16

Vega-Lite specification:
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Chart description: Sales of automobiles in india was steadily going up from 2.5 million per financial year to 3.5 million and above till 2019. However sales went down by 1 million in 2020.

Chart data: Passenger vehicles year 2.77 FY 2020 3.4 FY 2019 3.3 FY 2018 3 FY 2017 2.8 FY 2016 2.6 FY 2015 2.5 FY 2014 2.7 FY 2013 2.6 FY 2012 2.5 FY 2011

Vega-Lite specification:
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Chart description: France and Germany had the most amount of assets during 2014.

Chart data: 2014 Country 6750 Germany 6760 France 3345 Spain 2476 Italy 2359 Netherlands 751 Austria 495 Belgium 358 Greece 338 Portugal 260 Ireland 163 Finland 94 Luxembourg 49 Cyprus 27 Slovenia 15 Latvia 15 Malta 10 Slovakia 1 Estonia

Vega-Lite specification:
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Chart description: gaming revenue started to fall from 2003 to 2013 showing a downward trend before the start of a recovery which is on a trajectory to match 2000 revenue.

Chart data: Year 21 Dec 31, 199  0.3313; Year: Dec 31, 1999 Dec 31, 200  0.3467; Year: Dec 31, 2000 Dec 31, 200  0.3359; Year: Dec 31, 2001 Dec 31, 200  0.3591; Year: Dec 31, 2002 Dec 31, 200  0.3511; Year: Dec 31, 2003 Dec 31, 200  0.3201; Year: Dec 31, 2004 Dec 31, 200  0.3291; Year: Dec 31, 2005 Dec 31, 200  0.3355; Year: Dec 31, 2006 Dec 31, 200  0.3349; Year: Dec 31, 2007 Dec 31, 200  0.2828; Year: Dec 31, 2008 Dec 31, 200  0.2647; Year: Dec 31, 2009 Dec 31, 201  0.2601; Year: Dec 31, 2010 Dec 31, 201  0.2362; Year: Dec 31, 2011 Dec 31, 201  0.2459; Year: Dec 31, 2012 Dec 31, 201  0.2497; Year: Dec 31, 2013 Dec 31, 201  0.2724; Year: Dec 31, 2014 Dec 31, 201  0.2866; Year: Dec 31, 2015 Dec 31, 201  0.305; Year: Dec 31, 2016 Dec 31, 201  0.2843; Year: Dec 31, 2017 Dec 31, 201  0.2948; Year: Dec 31, 2018

Vega-Lite specification:
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Chart description: The revenue from craps in Las Vegas has decreased significantly since the year 2000. The revenue has increased since about 2013 but is not as high as in 2000.

Chart data: Year Craps Dec 31, 1999 0.1463 Dec 31, 2000 0.1476 Dec 31, 2001 0.1374 Dec 31, 2002 0.1347 Dec 31, 2003 0.1258 Dec 31, 2004 0.1222 Dec 31, 2005 0.1052 Dec 31, 2006 0.1063 Dec 31, 2007 0.1155 Dec 31, 2008 0.0931 Dec 31, 2009 0.0888 Dec 31, 2010 0.0963 Dec 31, 2011 0.0889 Dec 31, 2012 0.0762 Dec 31, 2013 0.0791 Dec 31, 2014 0.0869 Dec 31, 2015 0.088 Dec 31, 2016 0.0903 Dec 31, 2017 0.0895 Dec 31, 2018 0.1078

Vega-Lite specification:
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Chart description: Management positions are the only ones earning above £30,000. Desk/computer based positions earn more than manual work positions.

Chart data: 2011 hospitality and tourism sector 37025 Hotel and accommodation managers and proprietors 30923 Conference and exhibition managers and organisers 23623 Leisure and travel service occupations n.e.c. 24210 Restaurant and catering establishment managers and proprietors 25017 Publicans and managers of licensed premises 21517 Catering and bar managers 19813 Chefs 16446 Housekeepers and related occupations 16585 Cooks 15181 Other elementary services occupations n.e.c. 14555 Leisure and theme park attendants 12777 Kitchen and catering assistants 12722 Bar staff 12664 Waiters and waitresses 20218 Hospitality and tourism average*

Vega-Lite specification:
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Chart description: In 2006 and 2007, the revenue is at 15. There is a sharp decline in 2009, and a steady recovery until it reaches it's original figure of 15 again in 2018.

Chart data: Fiscal year Domestic 2020* 16.51 2019* 16.2 2018 15.76 2017 14.6 2016 13.4 2015 13.1 2014 12.7 2013 12.4 2012 12.3 2011 12 2010 12.8 2009 11.9 2008 14.4 2007 15.8 2006 15.7

Vega-Lite specification:
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Chart description: Retail has the highest online advertising revenue of 0.21. Entertainment and Media had the lowest revenue of 0.04.

Chart data: 2010 industry 0.21 Retail 0.12 Financial services 0.11 Auto 0.13 Telecom 0.07 Leisure travel 0.08 Consumer Electronics & Computers 0.07 Consumer packaged goods 0.05 Pharma & healthcare 0.04 Media 0.04 Entertainment

Vega-Lite specification:
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Chart description: Retail makes up the highest online advertising revenue. Entertainment has the lowest. The next highest is at least a third smaller than Retail.

Chart data: 2012 industry 0.2 Retail 0.13 Financial services 0.12 Auto 0.11 Telecom 0.09 Leisure travel 0.08 Consumer Electronics & Computers 0.07 Consumer packaged goods 0.06 Pharma & healthcare 0.05 Media 0.04 Entertainment

Vega-Lite specification:
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Chart description: There was a steady decline in number of households with 6 people from 1970 to 1990, and then there was a steady increase from 1990 to 2020.Overall, between 1970 to 2020, there has been a decrease, with 1970 having the highest number of households with 6 people at 3.5 million, and 2020 having roughly 2.8 milliion; 1990 had the lowest at around 2.1 million. Over the 50 year period, the number of houshouse has been in between 2-3 million.

Chart data: Year Six persons Dec 31, 1969 3.5 Dec 31, 1974 3.1 Dec 31, 1979 2.5 Dec 31, 1984 2.3 Dec 31, 1989 2.1 Dec 31, 1994 2.28 Dec 31, 1999 2.4 Dec 31, 2004 2.5 Dec 31, 2008 2.6 Dec 31, 2009 2.8 Dec 31, 2011 2.73 Dec 31, 2012 2.74 Dec 31, 2013 2.77 Dec 31, 2014 2.82 Dec 31, 2015 2.81 Dec 31, 2016 2.8 Dec 31, 2017 2.85 Dec 31, 2018 2.91 Dec 31, 2019 2.92

Vega-Lite specification:
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Chart description: The all time lowest was in the year 1990. The highest was in 1970. After 1990, the number of household increase.

Chart data: Year Six persons Dec 31, 1969 3.5 Dec 31, 1974 3.1 Dec 31, 1979 2.5 Dec 31, 1984 2.3 Dec 31, 1989 2.1 Dec 31, 1994 2.28 Dec 31, 1999 2.4 Dec 31, 2004 2.5 Dec 31, 2008 2.6 Dec 31, 2009 2.8 Dec 31, 2011 2.73 Dec 31, 2012 2.74 Dec 31, 2013 2.77 Dec 31, 2014 2.82 Dec 31, 2015 2.81 Dec 31, 2016 2.8 Dec 31, 2017 2.85 Dec 31, 2018 2.91 Dec 31, 2019 2.92

Vega-Lite specification:
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Chart description: There is a spike of increase at 1860 and 1937. It is probably due to immigration or war in another country.

Chart data: Three persons Five persons 19.34 7.45 19.37 7.43 19.33 7.44 19.51 7.32 19.42 7.55 19.31 7.52 19.37 7.45 19.28 7.43 19.24 7.27 18.6 7.4 18.6 7.1 18.29 7.17 17.2 7 16.83 6.62 16.1 6.2 15.5 6.1 14.1 6.1 12.4 6.4 10.9 6.5

Vega-Lite specification:
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Chart description: The number of two person households in the US has risen steadily year on year from 1970 to 2020. The lowest number of two person households in the US was in 1970, at just under 20 million. The highest number of two person households in the US was in 2020, where it reached in excess of 40 million.

Chart data: Year Two persons Dec 31, 1969 18.3 Dec 31, 1974 21.8 Dec 31, 1979 25.3 Dec 31, 1984 27.4 Dec 31, 1989 30.1 Dec 31, 1994 31.83 Dec 31, 1999 34.7 Dec 31, 2004 37.45 Dec 31, 2008 39.2 Dec 31, 2009 39.5 Dec 31, 2011 40.98 Dec 31, 2012 41.5 Dec 31, 2013 41.59 Dec 31, 2014 41.88 Dec 31, 2015 42.79 Dec 31, 2016 43.51 Dec 31, 2017 44.04 Dec 31, 2018 44.37 Dec 31, 2019 44.74

Vega-Lite specification:
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Chart description: Transportation equipment manufacture had the greatest value over the time frame covered. Food manufacture had the second greatest value although this was roughly three quarters of the value of transportation equipment manufacture. All other sectors covered by the chart were less than half the value of food manufacture.

Chart data: 2017 machinery manufacturing 520966 Food manufacturing 122729 Beverage and tobacco product manufacturing 19411 Textile mills 15260 Textile product mills 5268 Apparel manufacturing 2282 Leather and allied product manufacturing 52297 Wood product manufacturing 134911 Paper manufacturing 154616 Primary metals manufacturing 221805 Machinery manufacturing 193199 Computer and electronic products manufacturing 81132 Electrical equipment, appliances and components 778432 Transportation equipment manufacturing 41785 Furniture and related products manufacturing

Vega-Lite specification:
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Chart description: The highest value shipments from the US in 2017 was transport equipment. It appears, from the chart, the there was no production or at least no value from leather and allied product manufacture or apparal. It shows a diversified range of shipments with a wide range of value.

Chart data: 2017 machinery manufacturing 520966 Food manufacturing 122729 Beverage and tobacco product manufacturing 19411 Textile mills 15260 Textile product mills 5268 Apparel manufacturing 2282 Leather and allied product manufacturing 52297 Wood product manufacturing 134911 Paper manufacturing 154616 Primary metals manufacturing 221805 Machinery manufacturing 193199 Computer and electronic products manufacturing 81132 Electrical equipment, appliances and components 778432 Transportation equipment manufacturing 41785 Furniture and related products manufacturing

Vega-Lite specification:
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Chart description: Transportation equipment manufacturing had the highest value where as leather and allied products had the least.

Chart data: machinery manufacturing 2018 Food manufacturin  786991; machinery manufacturing: Food manufacturing Beverage and tobacco product manufacturin  156193; machinery manufacturing: Beverage and tobacco product manufacturing Textile mill  28158; machinery manufacturing: Textile mills Textile product mill  22786; machinery manufacturing: Textile product mills Apparel manufacturin  9874; machinery manufacturing: Apparel manufacturing Leather and allied product manufacturin  4530; machinery manufacturing: Leather and allied product manufacturing Wood product manufacturin  114845; machinery manufacturing: Wood product manufacturing Paper manufacturin  191119; machinery manufacturing: Paper manufacturing Primary metals manufacturin  182929; machinery manufacturing: Primary metals manufacturing Machinery manufacturin  250022; machinery manufacturing: Machinery manufacturing Computer and electronic products manufacturin  207218; machinery manufacturing: Computer and electronic products manufacturing Electrical equipment, appliances and component  88433; machinery manufacturing: Electrical equipment, appliances and components Transportation equipment manufacturin  826847; machinery manufacturing: Transportation equipment manufacturing Furniture and related products manufacturin  43197; machinery manufacturing: Furniture and related products manufacturing

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/2591.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "machinery manufacturing"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "2018"}, "field": "2018"}}, "title": ["U.S. manufacturing shipments e-commerce", "value from 2003 to 2018 , by sector (in millions", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: E-commerce value is below 100,000,000,000 dollars for most sectors. Transportation equipment manufacturing is an outlier and has approximately 4x the value of the other sectors.

Chart data: machinery manufacturing 2005 Food manufacturin  99090; machinery manufacturing: Food manufacturing Beverage and tobacco product manufacturin  60651; machinery manufacturing: Beverage and tobacco product manufacturing Textile mill  7512; machinery manufacturing: Textile mills Textile product mill  7189; machinery manufacturing: Textile product mills Apparel manufacturin  8908; machinery manufacturing: Apparel manufacturing Leather and allied product manufacturin  826; machinery manufacturing: Leather and allied product manufacturing Wood product manufacturin  12248; machinery manufacturing: Wood product manufacturing Paper manufacturin  30579; machinery manufacturing: Paper manufacturing Primary metals manufacturin  47608; machinery manufacturing: Primary metals manufacturing Machinery manufacturin  72390; machinery manufacturing: Machinery manufacturing Computer and electronic products manufacturin  113704; machinery manufacturing: Computer and electronic products manufacturing Electrical equipment, appliances and component  30602; machinery manufacturing: Electrical equipment, appliances and components Transportation equipment manufacturin  381600; machinery manufacturing: Transportation equipment manufacturing Furniture and related products manufacturin  16233; machinery manufacturing: Furniture and related products manufacturing

Vega-Lite specification:
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Chart description: Transport equipment was the most valuable type of machinery manufacturing in the US in 2006.

Chart data: 2006 machinery manufacturing 153996 Food manufacturing 68046 Beverage and tobacco product manufacturing 12377 Textile mills 11588 Textile product mills 9182 Apparel manufacturing 926 Leather and allied product manufacturing 14960 Wood product manufacturing 40842 Paper manufacturing 59376 Primary metals manufacturing 93763 Machinery manufacturing 120947 Computer and electronic products manufacturing 34211 Electrical equipment, appliances and components 383560 Transportation equipment manufacturing 18187 Furniture and related products manufacturing

Vega-Lite specification:
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Chart description: The transportation equipment manufacturing has the biggest U.S. manufacturing shipments e-commerce value from 2003 to 2018.

Chart data: 2008 machinery manufacturing 247132 Food manufacturing 67894 Beverage and tobacco product manufacturing 13186 Textile mills 11723 Textile product mills 5938 Apparel manufacturing 1095 Leather and allied product manufacturing 19375 Wood product manufacturing 67810 Paper manufacturing 109316 Primary metals manufacturing 129569 Machinery manufacturing 148576 Computer and electronic products manufacturing 44442 Electrical equipment, appliances and components 378464 Transportation equipment manufacturing 24722 Furniture and related products manufacturing

Vega-Lite specification:
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Chart description: Overall, the value of Transportation Equipment Manufacturing has increased the most above all other manufacturing industries since 2003, whilst Leather and Allied Product Manufacturing has seen the least.

Chart data: 2008 machinery manufacturing 247132 Food manufacturing 67894 Beverage and tobacco product manufacturing 13186 Textile mills 11723 Textile product mills 5938 Apparel manufacturing 1095 Leather and allied product manufacturing 19375 Wood product manufacturing 67810 Paper manufacturing 109316 Primary metals manufacturing 129569 Machinery manufacturing 148576 Computer and electronic products manufacturing 44442 Electrical equipment, appliances and components 378464 Transportation equipment manufacturing 24722 Furniture and related products manufacturing

Vega-Lite specification:
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Chart description: Hit generation/validation has increased year on year from 2016 to 2025, roughly improving by the same amount each year.

Chart data: Year Hit Generation/Validation 2025 2999.04 2024 2738.47 2023 2489.14 2022 2251 2021 2024.01 2020 1808.11 2019 1603.27 2018 1409.44 2017 * 1226.55 2016 1054.58

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/2594.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab5787"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Hit Generation/Validation"}, "field": "Hit Generation/Validation"}}, "title": ["Global biologics drug discovery market worldwide", "by phase from 2016 to 2025 (in million U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: lead identification has been steadily increasing each year since 2016 reaching its peak in 2025 at aroud 4000.

Chart data: Year Lead Identification 2025 4089.6 2024 3760.72 2023 3442.42 2022 3134.95 2021 2838.55 2020 2553.44 2019 2279.88 2018 2018.1 2017 * 1768.34 2016 1530.84

Vega-Lite specification:
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Chart description: From 2016 to 2025 the Lead Optimization has been going up by around 1,000 each year.

Chart data: Year Lead Optimization 2025 12041.6 2024 10991.27 2023 9986.8 2022 9027.97 2021 8114.54 2020 7246.26 2019 6422.9 2018 5644.22 2017 * 4909.97 2016 4219.93

Vega-Lite specification:
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Chart description: After dropping sharply for many years Scotlands crime rate has  plateaued.

Chart data: Year Scotland 2019/20 45.1 2018/19 45.3 2017/18 45.1 2016/17 44.2 2015/16 45.8 2014/15 47.9 2013/14 50.8 2012/13 51.4 2011/12 59.3 2010/11 61.4 2009/10 64.6 2008/09 72.5 2007/08 74.6 2006/07 81.7 2005/06 81.8 2004/05 86.2 2003/04 81.7 2002/03 82.6

Vega-Lite specification:
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