delen/vistext huggingface dataset:
Chart description: The line shows a sharp dip in 2009 that then rises gradually. There is a sharper upward trend in around 2015.

Chart data: Year Total Dec 31, 2006 2897475 Dec 31, 2007 2833112 Dec 31, 2008 2324468 Dec 31, 2009 2651051 Dec 31, 2010 2937922 Dec 31, 2011 3152142 Dec 31, 2012 3255356 Dec 31, 2013 3380399 Dec 31, 2014 3377226 Dec 31, 2015 3363519 Dec 31, 2016 3541428 Dec 31, 2017 3794478

Vega-Lite specification:
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Chart description: The value slowly started to dip from the beginning and took a bigger dip until it reached it lowest in 2009. Things started to improve steadily through to 2014 where although it levelled out, it then continued to rise.

Chart data: Year Total Dec 31, 2006 2897475 Dec 31, 2007 2833112 Dec 31, 2008 2324468 Dec 31, 2009 2651051 Dec 31, 2010 2937922 Dec 31, 2011 3152142 Dec 31, 2012 3255356 Dec 31, 2013 3380399 Dec 31, 2014 3377226 Dec 31, 2015 3363519 Dec 31, 2016 3541428 Dec 31, 2017 3794478

Vega-Lite specification:
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Chart description: the number of fans/follower increased exponentially in the span of 8 years. the increase happened slowly until 2014 when it started increasing quite fast and continued to do so until around 2019 where there seems that it slowly decreased for some reason.

Chart data: Month Facebook fans Jul 31, 2012 0.5 Jan 31, 2013 0.56 Jul 31, 2013 0.58 Jan 31, 2014 0.9 Jul 31, 2014 1.33 Jan 31, 2015 1.61 Jul 31, 2015 1.63 Jan 31, 2016 2.26 Jul 31, 2016 2.36 Jan 31, 2017 2.39 Jul 31, 2017 2.39 Jan 31, 2018 2.39 Jul 31, 2018 2.39 Jan 31, 2019 2.39 Jul 31, 2019 2.39 Jan 31, 2020 2.31 Jul 31, 2020 2.28

Vega-Lite specification:
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Chart description: From 2012 to 2020 the amount of twitter followers has greatly increased in numbers. Figures now stand at 3 million.

Chart data: Month Twitter followers Jul 31, 2012 0.11 Jan 31, 2013 0.14 Jul 31, 2013 0.17 Jan 31, 2014 0.25 Jul 31, 2014 0.29 Jan 31, 2015 0.42 Jul 31, 2015 0.5 Jan 31, 2016 1.35 Jul 31, 2016 1.73 Jan 31, 2017 1.99 Jul 31, 2017 2.29 Jan 31, 2018 2.93 Jul 31, 2018 2.95 Jan 31, 2019 2.95 Jul 31, 2019 2.95 Jan 31, 2020 3.05 Jul 31, 2020 3

Vega-Lite specification:
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Chart description: The chart seems to indicate that all the tests are 100 % accurate because the bars are all completed to 100 per cent.

Chart data: NPV COVID-19 antibody tests 100 Abbott - Alinity i Sars-CoV-2 IgG 100 Abbott - Architect Sars-CoV-2 IgG 99.9 Autobio - Anti-Sars-CoV-2 99.6 Bio-Rad - Platelia Sars-CoV-2 total Ab 99.7 Cellex - qSars-CoV-2 IgG/IgM 99.9 Diasorin - Liaison Sars-CoV-2 S1/S2 IgG 99.9 Inbios - SCoV-2 Detect IgG Elisa 99.5 Ortho-Clinical Diagnostics - Vitros anti-Sars-CoV-2 IgG 100 Ortho-Clinical Diagnostics - Vitros anti-Sars-CoV-2 Total 100 Roche - Elecsys anti-Sars-CoV-2 100 Siemens Healthineers - Advia Centaur COV2T 100 Siemens Healthineers - Atellica COV2T 99.9 Vibrant America - Vibrant Covid-19 Ab

Vega-Lite specification:
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Chart description: there is a steady rise over the years on age of structure.

Chart data: Year 0-14 years Dec 31, 2008 0.1343 Dec 31, 2009 0.135 Dec 31, 2010 0.1366 Dec 31, 2011 0.138 Dec 31, 2012 0.1394 Dec 31, 2013 0.1409 Dec 31, 2014 0.1427 Dec 31, 2015 0.1432 Dec 31, 2016 0.1444 Dec 31, 2017 0.146 Dec 31, 2018 0.1469

Vega-Lite specification:
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Chart description: from the year 2010 to 2018 there seems to be consistency apart from a slight dip.

Chart data: Year 15-64 years Dec 31, 2008 0.6871 Dec 31, 2009 0.6843 Dec 31, 2010 0.6792 Dec 31, 2011 0.6738 Dec 31, 2012 0.6681 Dec 31, 2013 0.6624 Dec 31, 2014 0.6571 Dec 31, 2015 0.6525 Dec 31, 2016 0.648 Dec 31, 2017 0.6438 Dec 31, 2018 0.6406

Vega-Lite specification:
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Chart description: Mauritius gdp output for agriculture is steadily  failing.

Chart data: Year Agriculture Dec 31, 2008 0.0388 Dec 31, 2009 0.0364 Dec 31, 2010 0.037 Dec 31, 2011 0.0366 Dec 31, 2012 0.0338 Dec 31, 2013 0.0326 Dec 31, 2014 0.0315 Dec 31, 2015 0.0319 Dec 31, 2016 0.031 Dec 31, 2017 0.0278 Dec 31, 2018 0.0286

Vega-Lite specification:
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Chart description: this graphs shows the share of economic services in gdp is steadily rising in mauritius.

Chart data: Year Services Dec 31, 2008 0.6223 Dec 31, 2009 0.6286 Dec 31, 2010 0.6319 Dec 31, 2011 0.6362 Dec 31, 2012 0.6437 Dec 31, 2013 0.6567 Dec 31, 2014 0.663 Dec 31, 2015 0.67 Dec 31, 2016 0.6741 Dec 31, 2017 0.6742 Dec 31, 2018 0.6725

Vega-Lite specification:
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Chart description: The fastest growing household products online sales growth during the coronavirus (COVID-19) outbreak in Russia from January to March 2020 were fabric softeners, bleach and pipe cleaners.

Chart data: household products 06.01-01.03 Bathroom cleaning products 0.69 Toilet paper 0.29 Multipurpose cleaning products 0.66 Fabric softeners 0.92 Laundry detergents 0.71 Kitchen paper 0.19 Floor cleaning products 0.61 Pipe cleaners 0.76 Bleach 0.8 Hygiene products 0.5

Vega-Lite specification:
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Chart description: The chart shows that surprisingly fabric softener was the fastest growing household product during the pandemic from Jan - March 2020. One would have assumed it would be disinfectant type products - bleach was the second fastest growing product.

Chart data: household products 06.01-01.03 Bathroom cleaning products 0.69 Toilet paper 0.29 Multipurpose cleaning products 0.66 Fabric softeners 0.92 Laundry detergents 0.71 Kitchen paper 0.19 Floor cleaning products 0.61 Pipe cleaners 0.76 Bleach 0.8 Hygiene products 0.5

Vega-Lite specification:
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Chart description: Bathroom cleaning products had the highest growth whilst hygiene products had the least.

Chart data: 09.03-15.03 household products 1.97 Bathroom cleaning products 1.85 Toilet paper 1.71 Multipurpose cleaning products 1.52 Fabric softeners 1.48 Laundry detergents 1.37 Kitchen paper 1.36 Floor cleaning products 1.36 Pipe cleaners 1.32 Bleach 0.97 Hygiene products

Vega-Lite specification:
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Chart description: 60% of the largest wind turbines produce more than 150m in rotor diameters.

Chart data: Largest wind turbines Rotor diameter (in meters) MHI Vestas V164 8MW 164 Siemens-Gamesa SG 8.0-167 DD 167 Goldwind GW154 6.7MW 154 Senvion 6.2M152** 152 GE Haliade 150-6MW 150 Ming Yang SCD 6.0 140 Doosan WindS500 140 Hitachi HTW5.2-136*** 136 CSIC Haizhuang H151-5.0MW 151 Adwen AD5-135 135

Vega-Lite specification:
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Chart description: According to the bar chart the largest wind turbine in the world as of September 2018 is the MHI Vestas V164 8MW turbine. Along with the Siemens Gamesa SG 8.00-167 DD it is the only wind turbine in the world to have a power rating of 8 megswatts or more. All of the top 10 largest wind turbines worldwide have at least a power rating of 5 megawatts.

Chart data: Power rating (in megawatts) Largest wind turbines 9.5 MHI Vestas V164 8MW 8 Siemens-Gamesa SG 8.0-167 DD 6.7 Goldwind GW154 6.7MW 6.15 Senvion 6.2M152** 6 GE Haliade 150-6MW 6 Ming Yang SCD 6.0 5.5 Doosan WindS500 5.2 Hitachi HTW5.2-136*** 5 CSIC Haizhuang H151-5.0MW 5 Adwen AD5-135

Vega-Lite specification:
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Chart description: the proportion of GDP from agriculture fluctuates from year to year but tends to average at around 0.015. There appears to be no consistent upwards or downward trend.

Chart data: Year Agriculture Dec 31, 2008 0.0132 Dec 31, 2009 0.016 Dec 31, 2010 0.0165 Dec 31, 2011 0.0163 Dec 31, 2012 0.0146 Dec 31, 2013 0.0156 Dec 31, 2014 0.0161 Dec 31, 2015 0.0144 Dec 31, 2016 0.0154 Dec 31, 2017 0.0165 Dec 31, 2018 0.016

Vega-Lite specification:
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Chart description: Distribution of households in the United States stayed the same between 1970 to 1990. In 1990 it started to decline.

Chart data: Year Four persons Dec 31, 1969 0.16 Dec 31, 1974 0.16 Dec 31, 1979 0.16 Dec 31, 1984 0.16 Dec 31, 1989 0.16 Dec 31, 1994 0.15 Dec 31, 1999 0.15 Dec 31, 2004 0.14 Dec 31, 2008 0.14 Dec 31, 2009 0.14 Dec 31, 2011 0.1325 Dec 31, 2012 0.1336 Dec 31, 2013 0.1318 Dec 31, 2014 0.1321 Dec 31, 2015 0.1293 Dec 31, 2016 0.1284 Dec 31, 2017 0.1291 Dec 31, 2018 0.1276 Dec 31, 2019 0.1266

Vega-Lite specification:
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Chart description: The number of five person households showed a drop from 0.1 in 1970 to 0.07 in 1985. The number then plateaus until 2000 when it drops again to 0.06 in 2005.

Chart data: Year Five persons Dec 31, 1969 0.1 Dec 31, 1974 0.09 Dec 31, 1979 0.08 Dec 31, 1984 0.07 Dec 31, 1989 0.07 Dec 31, 1994 0.07 Dec 31, 1999 0.07 Dec 31, 2004 0.06 Dec 31, 2008 0.06 Dec 31, 2009 0.06 Dec 31, 2011 0.06 Dec 31, 2012 0.0606 Dec 31, 2013 0.0605 Dec 31, 2014 0.0603 Dec 31, 2015 0.06 Dec 31, 2016 0.058 Dec 31, 2017 0.0583 Dec 31, 2018 0.0578 Dec 31, 2019 0.058

Vega-Lite specification:
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Chart description: Between 1970 and 1990 there has been a sharp decline in the number of people in the household. It then steady's out until 2010 with a small increase seen after this.

Chart data: Year Seven persons or more Dec 31, 1969 0.05 Dec 31, 1974 0.04 Dec 31, 1979 0.02 Dec 31, 1984 0.02 Dec 31, 1989 0.01 Dec 31, 1994 0.01 Dec 31, 1999 0.01 Dec 31, 2004 0.01 Dec 31, 2008 0.01 Dec 31, 2009 0.01 Dec 31, 2011 0.013 Dec 31, 2012 0.0129 Dec 31, 2013 0.0131 Dec 31, 2014 0.0139 Dec 31, 2015 0.0127 Dec 31, 2016 0.0128 Dec 31, 2017 0.0134 Dec 31, 2018 0.0125 Dec 31, 2019 0.012

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/368.tsv"}, "mark": "line", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Seven persons or more"}, "field": "Seven persons or more"}}, "title": ["Distribution of households in the United", "States from 1970 to 2020 , by household size"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the graph illustrates a sharp decline from 1970-1990 whereby households with seven people or more in the US fell from 0.05 to 0.01. Between 1990 and 2010 this figure remained consistent at 0.01 and began to increase from there to around 0.015.

Chart data: Year Seven persons or more Dec 31, 1969 0.05 Dec 31, 1974 0.04 Dec 31, 1979 0.02 Dec 31, 1984 0.02 Dec 31, 1989 0.01 Dec 31, 1994 0.01 Dec 31, 1999 0.01 Dec 31, 2004 0.01 Dec 31, 2008 0.01 Dec 31, 2009 0.01 Dec 31, 2011 0.013 Dec 31, 2012 0.0129 Dec 31, 2013 0.0131 Dec 31, 2014 0.0139 Dec 31, 2015 0.0127 Dec 31, 2016 0.0128 Dec 31, 2017 0.0134 Dec 31, 2018 0.0125 Dec 31, 2019 0.012

Vega-Lite specification:
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Chart description: The age structure in Serbia has decreased between the years 2010 and 2018.

Chart data: Year 15-64 years Dec 31, 2008 0.6786 Dec 31, 2009 0.6792 Dec 31, 2010 0.6789 Dec 31, 2011 0.6775 Dec 31, 2012 0.6752 Dec 31, 2013 0.6722 Dec 31, 2014 0.6688 Dec 31, 2015 0.666 Dec 31, 2016 0.6628 Dec 31, 2017 0.6596 Dec 31, 2018 0.6572

Vega-Lite specification:
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Chart description: The age structure is ever so slightly decreasing.

Chart data: Year 15-64 years Dec 31, 2008 0.6786 Dec 31, 2009 0.6792 Dec 31, 2010 0.6789 Dec 31, 2011 0.6775 Dec 31, 2012 0.6752 Dec 31, 2013 0.6722 Dec 31, 2014 0.6688 Dec 31, 2015 0.666 Dec 31, 2016 0.6628 Dec 31, 2017 0.6596 Dec 31, 2018 0.6572

Vega-Lite specification:
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Chart description: Overall, the age structure from 2009 to 2019 increased.

Chart data: Year 65 years and older Dec 31, 2008 0.1458 Dec 31, 2009 0.1474 Dec 31, 2010 0.1505 Dec 31, 2011 0.1544 Dec 31, 2012 0.1591 Dec 31, 2013 0.1642 Dec 31, 2014 0.1696 Dec 31, 2015 0.1742 Dec 31, 2016 0.1789 Dec 31, 2017 0.1835 Dec 31, 2018 0.1874

Vega-Lite specification:
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Chart description: There is an increase in the sale of imported beer between 2008 and 2018. There is a decline in sales after 2018.

Chart data: Year Imported beer Dec 31, 2007 490.97 Dec 31, 2008 528 Dec 31, 2009 548.11 Dec 31, 2010 551.17 Dec 31, 2011 569.91 Dec 31, 2012 589.64 Dec 31, 2013 595.61 Dec 31, 2014 617.02 Dec 31, 2015 670.27 Dec 31, 2016 716.94 Dec 31, 2017 717.04 Dec 31, 2018 707.29

Vega-Lite specification:
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Chart description: The amount of domestic beer sold in Canada has grown each year between 2008 and 2019. The rate of growth has increased significantly since 2015.

Chart data: Year Domestic beer Dec 31, 2007 311.03 Dec 31, 2008 322.48 Dec 31, 2009 341.93 Dec 31, 2010 388.34 Dec 31, 2011 410.82 Dec 31, 2012 429.81 Dec 31, 2013 443.27 Dec 31, 2014 471 Dec 31, 2015 518.55 Dec 31, 2016 572 Dec 31, 2017 646.08 Dec 31, 2018 742.99

Vega-Lite specification:
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Chart description: The number of single women households in the Netherlands has steady increased with no drops from 2009 to 2019.

Chart data: Year Women Dec 31, 2008 1401693 Dec 31, 2009 1422091 Dec 31, 2010 1434090 Dec 31, 2011 1456936 Dec 31, 2012 1475099 Dec 31, 2013 1470918 Dec 31, 2014 1498470 Dec 31, 2015 1510735 Dec 31, 2016 1532368 Dec 31, 2017 1545744 Dec 31, 2018 1562463

Vega-Lite specification:
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Chart description: APM-Maersk has the highest number of owned ships with 305~. Zhonggu Logistics Corp has the lowest number of owned ships with ~35.

Chart data: Owned Container ship operator 308 APM-Maersk 139 Mediterranean Shg Co 116 CMA CGM Group 173 COSCO Group 112 Hapag-Lloyd 71 ONE (Ocean Network Express) 106 Evergreen Line 34 Zhonggu Logistics Corp. 58 Antong Holdings (QASC) 67 Wan Hai Lines

Vega-Lite specification:
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Chart description: Out of all of the chosen countries, Canada had the least amount of social network users for this period. United States had the 3rd highest users for social networks, tailing behind China and India, who's populations are well in the billions.

Chart data: Country 2020 China (mainland  926.84; Country: China (mainland) Indi  349.97; Country: India Indonesi  198.96; Country: Indonesia United State  223.03; Country: United States Brazi  141.45; Country: Brazil Banglades  58.77; Country: Bangladesh Mexic  80.88; Country: Mexico Vietna  73.56; Country: Vietnam Philippine  79.58; Country: Philippines Japa  86.06; Country: Japan Russi  72.81; Country: Russia Turke  54.34; Country: Turkey Thailan  52.72; Country: Thailand United Kingdo  48.63; Country: United Kingdom South Kore  44.47; Country: South Korea German  44.48; Country: Germany Nigeri  28.15; Country: Nigeria Franc  36.92; Country: France Ital  34.02; Country: Italy Canad  25.35; Country: Canada

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