delen/vistext huggingface dataset:
Chart description: There is a decrease on the chart of children born per women as the years go on. This could be due to more males being born or the general population rising.

Chart data: Year Number of children born per woman Dec 31, 2007 4.1 Dec 31, 2008 4.04 Dec 31, 2009 3.99 Dec 31, 2010 3.93 Dec 31, 2011 3.87 Dec 31, 2012 3.81 Dec 31, 2013 3.76 Dec 31, 2014 3.71 Dec 31, 2015 3.66 Dec 31, 2016 3.61 Dec 31, 2017 3.56

Vega-Lite specification:
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Chart description: There was a steady increase of visitors from 2008-2013 then a slight drop. There was a peak in 2016.

Chart data: Year Number of visitors in millions Dec 31, 2007 3.43 Dec 31, 2008 3.74 Dec 31, 2009 3.9 Dec 31, 2010 3.95 Dec 31, 2011 3.85 Dec 31, 2012 3.69 Dec 31, 2013 3.88 Dec 31, 2014 4.15 Dec 31, 2015 5.03 Dec 31, 2016 4.34 Dec 31, 2017 4 Dec 31, 2018 4.42

Vega-Lite specification:
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Chart description: The number of visitors during the period 2008-2018 to Yosemite Park, fluctuated, however there was a general upward trend. The increase in visitors over the 10 year period was 1 million (3.5 to 4.5). The highest number of visitors was 5 million in 2016. The lowest number of visitors was 3.5 million in 2008. The most recent data for number of visitors i.e. for 2018 was 4.5 million.

Chart data: Year Number of visitors in millions Dec 31, 2007 3.43 Dec 31, 2008 3.74 Dec 31, 2009 3.9 Dec 31, 2010 3.95 Dec 31, 2011 3.85 Dec 31, 2012 3.69 Dec 31, 2013 3.88 Dec 31, 2014 4.15 Dec 31, 2015 5.03 Dec 31, 2016 4.34 Dec 31, 2017 4 Dec 31, 2018 4.42

Vega-Lite specification:
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Chart description: This shows a general increase in life expectancy in the netherlands. However, there have been several decreases, notably aroud 1860, 1870, 1920 and 1940. It increased most dramatically between 1870 and 1920.

Chart data: Year Life expectancy in years Dec 31, 1849 39.86 Dec 31, 1854 38.09 Dec 31, 1859 35.26 Dec 31, 1864 37.4 Dec 31, 1869 37.7 Dec 31, 1874 37.63 Dec 31, 1879 41.17 Dec 31, 1884 42.73 Dec 31, 1889 43.99 Dec 31, 1894 45.51 Dec 31, 1899 48.94 Dec 31, 1904 50.77 Dec 31, 1909 53.84 Dec 31, 1914 56.43 Dec 31, 1919 54.45 Dec 31, 1924 61.56 Dec 31, 1929 63.27 Dec 31, 1934 65.81 Dec 31, 1939 66.85 Dec 31, 1944 62.46 Dec 31, 1949 69.98 Dec 31, 1954 71.93 Dec 31, 1959 72.94 Dec 31, 1964 73.46 Dec 31, 1969 73.64 Dec 31, 1974 74.11 Dec 31, 1979 75.17 Dec 31, 1984 76.14 Dec 31, 1989 76.72 Dec 31, 1994 77.26 Dec 31, 1999 77.84 Dec 31, 2004 78.67 Dec 31, 2009 80.18 Dec 31, 2014 81.31 Dec 31, 2019 82.06

Vega-Lite specification:
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Chart description: 1985 was the highest production year for shoes in the US, followed by 1995, and 1990.

Chart data: Year In thousands of pairs 2008* 29103 2007 30660 2006 31936 2005 34021 2004 36698 2003 39810 2002 61400 2001 79718 2000 86645 1995 220400 1990 184568 1985 336400

Vega-Lite specification:
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Chart description: 1995 was an out of trend year for footwear production in the US. Otherwise since 1985, footwear production has significantly declined, ignoring 1995. The rate of decrease in footwear production appears to be reduced by 2006. Levels of Footwear reduction appears to be steady by 2007.

Chart data: Year In thousands of pairs 2008* 29103 2007 30660 2006 31936 2005 34021 2004 36698 2003 39810 2002 61400 2001 79718 2000 86645 1995 220400 1990 184568 1985 336400

Vega-Lite specification:
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Chart description: Sports doping cases in America have increased between 2000 and 2008, from 10 cases to 90. There is an anomalous peak in 2005 with over 100 doping cases, but 2006 saw cases drop back to general increasing trend of 40 cases.

Chart data: Year Number of cases Dec 31, 1999 9 Dec 31, 2000 13 Dec 31, 2001 16 Dec 31, 2002 30 Dec 31, 2003 28 Dec 31, 2004 108 Dec 31, 2005 51 Dec 31, 2006 74 Dec 31, 2007 85 Dec 31, 2008 97 Dec 31, 2009 89

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/17565.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d190b6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Number of cases"}, "field": "Number of cases"}}, "title": ["Number of sports doping cases in North America", "from 2000 to 2010"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a spike in cases in 2005. Generally speaking the cases went up gradually year on year.

Chart data: Year Number of cases Dec 31, 1999 9 Dec 31, 2000 13 Dec 31, 2001 16 Dec 31, 2002 30 Dec 31, 2003 28 Dec 31, 2004 108 Dec 31, 2005 51 Dec 31, 2006 74 Dec 31, 2007 85 Dec 31, 2008 97 Dec 31, 2009 89

Vega-Lite specification:
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Chart description: The number of visitors to the Lake Mead National Recreation Area in 2008 was around 7.5 million. The number of visitors declined throughout the years until 2015 where they saw an increase of just under 7.5 million which puts the number of visitors back to a similar position in 2008. The highest number of visitors was just under 8 million in 2017.

Chart data: Year Number of visitors in millions Dec 31, 2007 7.6 Dec 31, 2008 7.67 Dec 31, 2009 7.08 Dec 31, 2010 6.4 Dec 31, 2011 6.29 Dec 31, 2012 6.34 Dec 31, 2013 6.94 Dec 31, 2014 7.3 Dec 31, 2015 7.18 Dec 31, 2016 7.88 Dec 31, 2017 7.58 Dec 31, 2018 7.5

Vega-Lite specification:
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Chart description: the number of children borne by women has shown a steady decline from 3 at the start of 2018 to less than 2.5 at the end of 2018.

Chart data: Year Children born per woman Dec 31, 2007 2.19 Dec 31, 2008 2.17 Dec 31, 2009 2.15 Dec 31, 2010 2.14 Dec 31, 2011 2.13 Dec 31, 2012 2.12 Dec 31, 2013 2.11 Dec 31, 2014 2.1 Dec 31, 2015 2.09 Dec 31, 2016 2.08 Dec 31, 2017 2.07

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/17568.tsv"}, "mark": "line", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Children born per woman"}, "field": "Children born per woman"}}, "title": ["Turkey : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The fertility rate has slowly decreased since 2008. In 2008 it was at about 2.25 and by 2018 it is closer to 2.0.

Chart data: Year Children born per woman Dec 31, 2007 2.19 Dec 31, 2008 2.17 Dec 31, 2009 2.15 Dec 31, 2010 2.14 Dec 31, 2011 2.13 Dec 31, 2012 2.12 Dec 31, 2013 2.11 Dec 31, 2014 2.1 Dec 31, 2015 2.09 Dec 31, 2016 2.08 Dec 31, 2017 2.07

Vega-Lite specification:
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Chart description: Between 1960 and 2010 the graph shows a steady decline in the birth rates per thousand population in Austria. In 1960 there 17.5 births per thousand compared to around 9 in 2010. There is a slight increase between 2010 and 2018 in the number of births which rises from around 9 per thousand to 10 per thousand.

Chart data: Year Birth rate per thousand population Dec 31, 1959 17.9 Dec 31, 1969 15 Dec 31, 1979 12 Dec 31, 1989 11.8 Dec 31, 1999 9.8 Dec 31, 2009 9.4 Dec 31, 2010 9.3 Dec 31, 2011 9.4 Dec 31, 2012 9.4 Dec 31, 2013 9.6 Dec 31, 2014 9.8 Dec 31, 2015 10 Dec 31, 2016 10 Dec 31, 2017 9.7

Vega-Lite specification:
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Chart description: people perceived adverts to be mostly found on busses and bus stops, as well as billboards. Airports had the fewest and trains was amongst the lowest also.

Chart data: Number of respondents in thousands Advertisement Type 23851 Bus 20635 Bus stops 19848 Billboards 13643 Urban signs/bright urban signs 13396 Outdoor/street clocks 12034 Single-pole billboard 9355 Newsstands 8110 Containers 7940 Urban furniture 7936 Morris columns 7884 Shopping centers 7414 Building banner 7108 Neon signs on buildings 6501 Advertising flag 5345 Screens in lottery/gambling establishments 3413 Subway 2756 Subway screens 1953 Trains 1594 Bicycles 1181 Airports

Vega-Lite specification:
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Chart description: The most popular domain is .icu by approx. 3 million. the least popular is .app.

Chart data: Website Domain Number of domains in millions .icu 6 .xyz 3.3 .top 2.94 .site 1.75 .online 1.74 .wang 1.38 .club 1.31 .vip 1.14 .shop 0.76 .app 0.71

Vega-Lite specification:
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Chart description: .icu and .xyz were the most popular generic domains. .icu has 6,000,000 domains in use, where as xyz has around 3.5 million. The least popular domains were that of .app and .shop with less than 1 million uses.

Chart data: Website Domain Number of domains in millions .icu 6 .xyz 3.3 .top 2.94 .site 1.75 .online 1.74 .wang 1.38 .club 1.31 .vip 1.14 .shop 0.76 .app 0.71

Vega-Lite specification:
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Chart description: Just over 15000 cannabis related crimes were reported in Italy in 2010, staying around the same until 2015 when the numbers took a sharp dive to 14000. Numbers increased to around 18000 by 2017 but have been dropping rapidly ever since.

Chart data: Year Number of people Dec 31, 2009 15886 Dec 31, 2010 15288 Dec 31, 2011 15531 Dec 31, 2012 15476 Dec 31, 2013 14728 Dec 31, 2014 13434 Dec 31, 2015 16430 Dec 31, 2016 18278 Dec 31, 2017 17237 Dec 31, 2018 15299

Vega-Lite specification:
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Chart description: The crime rate per 100000 from the year 2018 has lowered compared to the year 2010.

Chart data: Year Crimes rate per 100,000 population Dec 31, 2009 653 Dec 31, 2010 608 Dec 31, 2011 584 Dec 31, 2012 555 Dec 31, 2013 591 Dec 31, 2014 611 Dec 31, 2015 590 Dec 31, 2016 582 Dec 31, 2017 587 Dec 31, 2018 617

Vega-Lite specification:
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Chart description: The trend is increasing.  The number of youth unemployed has almost doubled in the period between 1999-2020. The number of unemployed among young people was systematically decreasing between the period of 2012-2018.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1079 Dec 31, 1999 0.1159 Dec 31, 2000 0.1237 Dec 31, 2001 0.1288 Dec 31, 2002 0.1331 Dec 31, 2003 0.1368 Dec 31, 2004 0.1395 Dec 31, 2005 0.14 Dec 31, 2006 0.1412 Dec 31, 2007 0.143 Dec 31, 2008 0.1528 Dec 31, 2009 0.1572 Dec 31, 2010 0.1602 Dec 31, 2011 0.1838 Dec 31, 2012 0.185 Dec 31, 2013 0.1837 Dec 31, 2014 0.183 Dec 31, 2015 0.1805 Dec 31, 2016 0.1786 Dec 31, 2017 0.1765 Dec 31, 2018 0.1813 Dec 31, 2019 0.1856

Vega-Lite specification:
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Chart description: Unemployment has shown a continual upward trend with a high increase in 2012.after 2012 there was a slight decrease but the trend remains upwards.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1079 Dec 31, 1999 0.1159 Dec 31, 2000 0.1237 Dec 31, 2001 0.1288 Dec 31, 2002 0.1331 Dec 31, 2003 0.1368 Dec 31, 2004 0.1395 Dec 31, 2005 0.14 Dec 31, 2006 0.1412 Dec 31, 2007 0.143 Dec 31, 2008 0.1528 Dec 31, 2009 0.1572 Dec 31, 2010 0.1602 Dec 31, 2011 0.1838 Dec 31, 2012 0.185 Dec 31, 2013 0.1837 Dec 31, 2014 0.183 Dec 31, 2015 0.1805 Dec 31, 2016 0.1786 Dec 31, 2017 0.1765 Dec 31, 2018 0.1813 Dec 31, 2019 0.1856

Vega-Lite specification:
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Chart description: Youth empolyment is increasing year by year since 2000.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1079 Dec 31, 1999 0.1159 Dec 31, 2000 0.1237 Dec 31, 2001 0.1288 Dec 31, 2002 0.1331 Dec 31, 2003 0.1368 Dec 31, 2004 0.1395 Dec 31, 2005 0.14 Dec 31, 2006 0.1412 Dec 31, 2007 0.143 Dec 31, 2008 0.1528 Dec 31, 2009 0.1572 Dec 31, 2010 0.1602 Dec 31, 2011 0.1838 Dec 31, 2012 0.185 Dec 31, 2013 0.1837 Dec 31, 2014 0.183 Dec 31, 2015 0.1805 Dec 31, 2016 0.1786 Dec 31, 2017 0.1765 Dec 31, 2018 0.1813 Dec 31, 2019 0.1856

Vega-Lite specification:
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Chart description: US imports of television and radio equipment reached a peak of $40billion+ in 2006 and remained above $40billion throughout 2007 and 2008. Imports have since dropped overall to a low of $24billion in 2019 which matches those imports in 2005.

Chart data: Year Import value in billion U.S. dollars Dec 31, 2001 23.11 Dec 31, 2002 25.39 Dec 31, 2003 30.87 Dec 31, 2004 35.08 Dec 31, 2005 41.78 Dec 31, 2006 39.79 Dec 31, 2007 40.98 Dec 31, 2008 36.13 Dec 31, 2009 37.78 Dec 31, 2010 33.5 Dec 31, 2011 32.86 Dec 31, 2012 28.76 Dec 31, 2013 28.21 Dec 31, 2014 28.35 Dec 31, 2015 24.01 Dec 31, 2016 25.59 Dec 31, 2017 25.24 Dec 31, 2018 23.67

Vega-Lite specification:
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Chart description: There appears to be 3 main reasons given amongst responders for why they keep coming back to use the health club; staying in shape, overall health and convienient location with around 60% of responders choosing these reasons.

Chart data: Response Percentage of respondents To get in shape/stay in shape/stay healthy 0.63 For overall health/well-being 0.6 It's at a convenient location to me 0.59 The variety of equipment, strength and cardiovascular equipment 0.42 To get my workout in, rather than to socialize 0.37 To make progress with my personal goals 0.36 Access to group exercise classes 0.29 To have fun 0.25 My friends and family work out at the health club 0.23 Access to fitness professionals 0.21 The social aspects of the health club 0.2 I feel obligated to go to the health club because of the money I spend on my membership 0.12

Vega-Lite specification:
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Chart description: It seems proximity, wellbeing and overall body shape still dictate the main needs for wanting to use a gym or health facility to work out in .

Chart data: Response Percentage of respondents To get in shape/stay in shape/stay healthy 0.63 For overall health/well-being 0.6 It's at a convenient location to me 0.59 The variety of equipment, strength and cardiovascular equipment 0.42 To get my workout in, rather than to socialize 0.37 To make progress with my personal goals 0.36 Access to group exercise classes 0.29 To have fun 0.25 My friends and family work out at the health club 0.23 Access to fitness professionals 0.21 The social aspects of the health club 0.2 I feel obligated to go to the health club because of the money I spend on my membership 0.12

Vega-Lite specification:
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Chart description: The average ratio of government to GDP expenditure in Chile from 2015 to 2025* is 0.25. However, there was a slight increase in the expenditure ratio in 2020 and 2021 and it reached to 0.3. The ratio number is not easy to read because the number is shown in x axis. I need to turn my head to the right in order to read the numbers and compare them. The chart doesn't illustrate the meaning of the * marked in some of the years. This has been confusing.

Chart data: Ratio of government expenditure to GDP Year 0.2536 2025* 0.263 2024* 0.2719 2023* 0.2771 2022* 0.2983 2021* 0.2935 2020* 0.2585 2019 0.2536 2018 0.2544 2017 0.2526 2016 0.2489 2015

Vega-Lite specification:
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Chart description: 2015 - 2019 show similar levels of government expenditure to gdp. There is an expected increase in 2020 and further increase 2021before reducing. 2025 sees levels return to pre 2020 levels.

Chart data: Ratio of government expenditure to GDP Year 0.2536 2025* 0.263 2024* 0.2719 2023* 0.2771 2022* 0.2983 2021* 0.2935 2020* 0.2585 2019 0.2536 2018 0.2544 2017 0.2526 2016 0.2489 2015

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