delen/vistext huggingface dataset:
Chart description: In 2017 the player expenses were highest within the period shown.

Chart data: Year Player expenses in million U.S. dollars Dec 31, 2000 59 Dec 31, 2001 67 Dec 31, 2002 70 Dec 31, 2003 69 Dec 31, 2004 91 Dec 31, 2005 98 Dec 31, 2006 107 Dec 31, 2007 148 Dec 31, 2008 151 Dec 31, 2009 150 Dec 31, 2010 122 Dec 31, 2011 143 Dec 31, 2012 163 Dec 31, 2013 184 Dec 31, 2014 169 Dec 31, 2015 210 Dec 31, 2016 216 Dec 31, 2017 148 Dec 31, 2018 136

Vega-Lite specification:
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Chart description: The player expenses of the Detroit Tigers have increased since 2005. There has been a recent dip.

Chart data: Year Player expenses in million U.S. dollars Dec 31, 2000 59 Dec 31, 2001 67 Dec 31, 2002 70 Dec 31, 2003 69 Dec 31, 2004 91 Dec 31, 2005 98 Dec 31, 2006 107 Dec 31, 2007 148 Dec 31, 2008 151 Dec 31, 2009 150 Dec 31, 2010 122 Dec 31, 2011 143 Dec 31, 2012 163 Dec 31, 2013 184 Dec 31, 2014 169 Dec 31, 2015 210 Dec 31, 2016 216 Dec 31, 2017 148 Dec 31, 2018 136

Vega-Lite specification:
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Chart description: lowest expenses were in 2005, whilst highest were in 2017. from 2005 -2010 the expenses climbed steadily until a drop in 2011. They then climbed again till a slight drop in 2015 and then rose again.

Chart data: Year Player expenses in million U.S. dollars Dec 31, 2000 59 Dec 31, 2001 67 Dec 31, 2002 70 Dec 31, 2003 69 Dec 31, 2004 91 Dec 31, 2005 98 Dec 31, 2006 107 Dec 31, 2007 148 Dec 31, 2008 151 Dec 31, 2009 150 Dec 31, 2010 122 Dec 31, 2011 143 Dec 31, 2012 163 Dec 31, 2013 184 Dec 31, 2014 169 Dec 31, 2015 210 Dec 31, 2016 216 Dec 31, 2017 148 Dec 31, 2018 136

Vega-Lite specification:
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Chart description: Between 2002 to 2007 there is a steady increase in the number of people travelling (from just above 20 million to 30 million). This then slowly reduces between 2007 and 2011. From 2011 however this increases again, peaking in 2018, in which over 40 million people travelled.

Chart data: Number of tourists in millions Year 37.79 2019** 41.77 2018 38.33 2017 35.14 2016 32.79 2015 30.78 2014 29.02 2013 28.5 2012 27.02 2011 28.51 2010 30.3 2009 30.79 2008 31.23 2007 30.15 2006 28.79 2005 27.35 2004 24.45 2003 23.4 2002

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/1377.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d365ba"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Number of tourists in millions"}, "field": "Number of tourists in millions"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Number of United States residents travelling", "overseas from 2002 to 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: overall the deaths per 1000 live births shows on constant decline from approximately 65 in 2010 to 45 in 2019.

Chart data: Year Number of deaths per thousand live births Dec 31, 2009 64.4 Dec 31, 2010 61.8 Dec 31, 2011 59.3 Dec 31, 2012 57 Dec 31, 2013 54.8 Dec 31, 2014 52.7 Dec 31, 2015 50.8 Dec 31, 2016 48.1 Dec 31, 2017 46.4 Dec 31, 2018 44.7

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/13789.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of deaths per thousand live births"}, "field": "Number of deaths per thousand live births"}}, "title": ["Under-five child mortality rate in Myanmar", "from 2010 to 2019 (per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a steady decline in under five-year-old children deaths in Myanmar.

Chart data: Year Number of deaths per thousand live births Dec 31, 2009 64.4 Dec 31, 2010 61.8 Dec 31, 2011 59.3 Dec 31, 2012 57 Dec 31, 2013 54.8 Dec 31, 2014 52.7 Dec 31, 2015 50.8 Dec 31, 2016 48.1 Dec 31, 2017 46.4 Dec 31, 2018 44.7

Vega-Lite specification:
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Chart description: The chart shows steady and consistent decline in the under-five child mortality rate in Myanmar between 2010 and 2019. Despite this very good trend, the value of under-five child mortality remains high in 2019: about 55 per thousand live births.

Chart data: Year Number of deaths per thousand live births Dec 31, 2009 64.4 Dec 31, 2010 61.8 Dec 31, 2011 59.3 Dec 31, 2012 57 Dec 31, 2013 54.8 Dec 31, 2014 52.7 Dec 31, 2015 50.8 Dec 31, 2016 48.1 Dec 31, 2017 46.4 Dec 31, 2018 44.7

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/13789.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of deaths per thousand live births"}, "field": "Number of deaths per thousand live births"}}, "title": ["Under-five child mortality rate in Myanmar", "from 2010 to 2019 (per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As the year increases the under 5 mortality rate decreases 2010 had the highest amount of still births, with it declining every year with 2018 having the lowest amount of still births, with a decrease from roughly 64 to 55 number of deaths per thousand live births respectively.

Chart data: Year Number of deaths per thousand live births Dec 31, 2009 64.4 Dec 31, 2010 61.8 Dec 31, 2011 59.3 Dec 31, 2012 57 Dec 31, 2013 54.8 Dec 31, 2014 52.7 Dec 31, 2015 50.8 Dec 31, 2016 48.1 Dec 31, 2017 46.4 Dec 31, 2018 44.7

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/13789.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of deaths per thousand live births"}, "field": "Number of deaths per thousand live births"}}, "title": ["Under-five child mortality rate in Myanmar", "from 2010 to 2019 (per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: GDP has been on an increase from 2009 to 2019 - it was on a steady increase from 2009 to 2014, then from thereon it was increasing at a quicker rate per year through to 2019.

Chart data: Year Gross domestic product in trillion euros Dec 31, 2008 10.59 Dec 31, 2009 10.98 Dec 31, 2010 11.33 Dec 31, 2011 11.39 Dec 31, 2012 11.52 Dec 31, 2013 11.78 Dec 31, 2014 12.22 Dec 31, 2015 12.55 Dec 31, 2016 13.05 Dec 31, 2017 13.5 Dec 31, 2018 13.94

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/1378.tsv"}, "mark": "area", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Gross domestic product in trillion euros"}, "field": "Gross domestic product in trillion euros"}}, "title": ["European Union : Gross domestic product", "(GDP) in current prices from 2009 to 2019", "(in trillion euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: in this graph we can see the cases of malaria in Canada which was higher in 1998.

Chart data: Year Number of cases per 100,000 population Dec 31, 1929 0.15 Dec 31, 1939 0.01 Dec 31, 1949 0 Dec 31, 1959 0.05 Dec 31, 1969 0.02 Dec 31, 1984 1.42 Dec 31, 1989 2.26 Dec 31, 1990 2.23 Dec 31, 1991 1.47 Dec 31, 1992 1.72 Dec 31, 1993 1.48 Dec 31, 1994 2.13 Dec 31, 1995 3.33 Dec 31, 1996 3.45 Dec 31, 1997 1.2 Dec 31, 1998 1.22 Dec 31, 1999 1.43 Dec 31, 2000 1.39 Dec 31, 2001 1.11 Dec 31, 2002 1.15 Dec 31, 2003 1.17 Dec 31, 2004 1.13 Dec 31, 2005 1.02 Dec 31, 2006 1.21 Dec 31, 2007 1.15 Dec 31, 2008 1.08 Dec 31, 2009 1.51 Dec 31, 2010 1.51 Dec 31, 2011 1.38 Dec 31, 2012 1.4 Dec 31, 2013 1.27 Dec 31, 2014 1.55 Dec 31, 2015 1.69 Dec 31, 2016 1.65 Dec 31, 2017 1.61

Vega-Lite specification:
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Chart description: From 1930 to 1970 there were relatively low levels of reported cases of Malaria in Canada. From 1970 onwards there were a dramatic increase in reports of malaria, peaking at just under 3.5 cases in every 100,000 of the population.

Chart data: Year Number of cases per 100,000 population Dec 31, 1929 0.15 Dec 31, 1939 0.01 Dec 31, 1949 0 Dec 31, 1959 0.05 Dec 31, 1969 0.02 Dec 31, 1984 1.42 Dec 31, 1989 2.26 Dec 31, 1990 2.23 Dec 31, 1991 1.47 Dec 31, 1992 1.72 Dec 31, 1993 1.48 Dec 31, 1994 2.13 Dec 31, 1995 3.33 Dec 31, 1996 3.45 Dec 31, 1997 1.2 Dec 31, 1998 1.22 Dec 31, 1999 1.43 Dec 31, 2000 1.39 Dec 31, 2001 1.11 Dec 31, 2002 1.15 Dec 31, 2003 1.17 Dec 31, 2004 1.13 Dec 31, 2005 1.02 Dec 31, 2006 1.21 Dec 31, 2007 1.15 Dec 31, 2008 1.08 Dec 31, 2009 1.51 Dec 31, 2010 1.51 Dec 31, 2011 1.38 Dec 31, 2012 1.4 Dec 31, 2013 1.27 Dec 31, 2014 1.55 Dec 31, 2015 1.69 Dec 31, 2016 1.65 Dec 31, 2017 1.61

Vega-Lite specification:
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Chart description: Cases started to increase dramatically from the year 1970, from 0.1 to 1.0 cased per 100,000 citizens. The highest spike was around 1998 with 3.5 cases per 100,000 citizens. There were around 0.2 cases per 100,000 citizens in 1930. The lowest number of cases was the period of 1940-50 with 0.0 cases per 100,000 citizens.

Chart data: Year Number of cases per 100,000 population Dec 31, 1929 0.15 Dec 31, 1939 0.01 Dec 31, 1949 0 Dec 31, 1959 0.05 Dec 31, 1969 0.02 Dec 31, 1984 1.42 Dec 31, 1989 2.26 Dec 31, 1990 2.23 Dec 31, 1991 1.47 Dec 31, 1992 1.72 Dec 31, 1993 1.48 Dec 31, 1994 2.13 Dec 31, 1995 3.33 Dec 31, 1996 3.45 Dec 31, 1997 1.2 Dec 31, 1998 1.22 Dec 31, 1999 1.43 Dec 31, 2000 1.39 Dec 31, 2001 1.11 Dec 31, 2002 1.15 Dec 31, 2003 1.17 Dec 31, 2004 1.13 Dec 31, 2005 1.02 Dec 31, 2006 1.21 Dec 31, 2007 1.15 Dec 31, 2008 1.08 Dec 31, 2009 1.51 Dec 31, 2010 1.51 Dec 31, 2011 1.38 Dec 31, 2012 1.4 Dec 31, 2013 1.27 Dec 31, 2014 1.55 Dec 31, 2015 1.69 Dec 31, 2016 1.65 Dec 31, 2017 1.61

Vega-Lite specification:
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Chart description: There very few reported cases of malaria in Canada from 1930 to around 1970. During this time there are fewer than 0.2 cases per 100,000 population. Between 1970 and 1990 there was a constant and rapid increase to the number of cases, reaching 2.25 per 100,000 population in 1990. From 1990 to 2018 the trend is a fluctuating decrease to a low around 1.0 cases per 100,000 population in 2005 then a fluctuating increase to around 1.6 cases per 100,000 population in 2018. A notable exception to the trend is a sudden high of almost 3.5 cases per 100,000 population around 1996-1997.

Chart data: Year Number of cases per 100,000 population Dec 31, 1929 0.15 Dec 31, 1939 0.01 Dec 31, 1949 0 Dec 31, 1959 0.05 Dec 31, 1969 0.02 Dec 31, 1984 1.42 Dec 31, 1989 2.26 Dec 31, 1990 2.23 Dec 31, 1991 1.47 Dec 31, 1992 1.72 Dec 31, 1993 1.48 Dec 31, 1994 2.13 Dec 31, 1995 3.33 Dec 31, 1996 3.45 Dec 31, 1997 1.2 Dec 31, 1998 1.22 Dec 31, 1999 1.43 Dec 31, 2000 1.39 Dec 31, 2001 1.11 Dec 31, 2002 1.15 Dec 31, 2003 1.17 Dec 31, 2004 1.13 Dec 31, 2005 1.02 Dec 31, 2006 1.21 Dec 31, 2007 1.15 Dec 31, 2008 1.08 Dec 31, 2009 1.51 Dec 31, 2010 1.51 Dec 31, 2011 1.38 Dec 31, 2012 1.4 Dec 31, 2013 1.27 Dec 31, 2014 1.55 Dec 31, 2015 1.69 Dec 31, 2016 1.65 Dec 31, 2017 1.61

Vega-Lite specification:
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Chart description: In this bar chat you can clearly see that Malawi has the highest revenue in the Pharmaceuticals, with Senegal just under and then the lowest country recorded on this chart would be Nigeria. All of theses were recorded in 2014.

Chart data: Revenue as percentage of health expenditure Country 0.466 Malawi 0.423 Senegal 0.33 Algeria 0.277 Tunisia 0.262 Egypt 0.252 Cote d'Ivoire 0.25 Ghana 0.231 Morocco 0.223 Uganda 0.208 Kenya 0.18 Tanzania 0.176 Ethiopia 0.119 South Africa 0.092 Sudan 0.052 Nigeria

Vega-Lite specification:
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Chart description: Colston got the most yards at nearly 10,000. The people that got the least yards are Hilliard, Parks and Haynes. Most Orleans saints got 4,000 yard or less. Most of them received less than half the yards of the highest receiver. The second most yards received was by Martin.

Chart data:  New Orleans Saints all-time receiving leaders Receiving yards Marques Colston 9759 Eric Martin 7854 Joe Horn 7622 Michael Thomas 5529 Danny Abramowicz 4875 Jimmy Graham 4752 Devery Henderson 4377 Lance Moore 4281 Hoby Brenner 3849 Quinn Early 3758 Henry Childs 3224 Brandin Cooks 2861 Wes Chandler 2801 Donte' Stallworth 2791 Robert Meachem 2707 Alvin Kamara 2624 Pierre Thomas 2608 Michael Haynes 2368 Dave Parks 2254 Dalton Hilliard 2233

Vega-Lite specification:
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Chart description: Based on the visualisation, I can see that as the years go on, personal income in USA dollars increases.

Chart data: years Income in U.S. dollars '19 69754 '18 67507 '17 64549 '16 62293 '15 60563 '14 57892 '13 55440 '12 55761 '11 54105 '10 52094 '09 50133 '08 51026 '07 49086 '06 46636 '05 43534 '04 41747 '03 39693 '02 38916 '01 38901 '00 37362

Vega-Lite specification:
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Chart description: The highest paid by quite a long way appears to be a woman. The vast majority of the CEOs are men. The CEOs who are generally higher paid are from entertainment companies.

Chart data: Compensation in million U.S. dollars highest-paid CEOs  58.53 Lisa T. Su (AMD) 45.84 David M. Zaslav (Discovery) 45.55 Robert A. Iger (Walt Disney) 39.15 Shantanu Narayen (Adobe) 38.58 Reed Hastings (Netflix) 36.45 Larry J. Merlo (CVS Health) 36.37 Brian L. Roberts (Comcast) 31.62 James P. Gorman (Morgan Stanley) 31.58 James Dimon (JPMorgan Chase) 30.38 Prologis (Hamid Moghadam)

Vega-Lite specification:
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Chart description: In the bigger cities unemployment for the younger generation seems to be a lot higher.

Chart data: region of Italy Average annual percentage Sicily 0.38 Calabria 0.351 Campania 0.343 Apulia 0.297 Sardinia 0.277 Basilicata 0.26 Molise 0.247 Abruzzo 0.225 Lazio 0.207 Liguria 0.177 Piedmont 0.166 Tuscany 0.157 Marche 0.154 Umbria 0.151 Lombardy 0.148 Aosta Valley 0.147 Emilia-Romagna 0.143 Friuli-Venezia Giulia 0.137 Veneto 0.124 Trentino-South Tyrol 0.111

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Chart description: The chart indicates that Russia has shown a steady decline in the amount of inhabitants incarcerated over the period of 11 years.

Chart data: Year Incarceration rate per 100,000 inhabitants Dec 31, 2007 619.1 Dec 31, 2008 604.8 Dec 31, 2009 574.8 Dec 31, 2010 527 Dec 31, 2011 489.1 Dec 31, 2012 470.3 Dec 31, 2013 466.3 Dec 31, 2014 450.1 Dec 31, 2017 418.3 Dec 31, 2018 386.1

Vega-Lite specification:
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Chart description: Incarceration rate decreased from 610 in 2008 to 390 in 2019.

Chart data: Year Incarceration rate per 100,000 inhabitants Dec 31, 2007 619.1 Dec 31, 2008 604.8 Dec 31, 2009 574.8 Dec 31, 2010 527 Dec 31, 2011 489.1 Dec 31, 2012 470.3 Dec 31, 2013 466.3 Dec 31, 2014 450.1 Dec 31, 2017 418.3 Dec 31, 2018 386.1

Vega-Lite specification:
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Chart description: Year on year, personal income has a tendency to either remain the same or increase by approximately anywhere between 0-1000 U.S Dollars. Income has increased from approx 23,000 U. S Dollars in 2000 to 43,000 by 2019.

Chart data: Income in U.S. dollars years 42315 '19 41192 '18 38927 '17 37099 '16 37061 '15 36152 '14 34945 '13 35116 '12 34127 '11 32319 '10 31361 '09 31258 '08 29513 '07 28554 '06 26839 '05 25587 '04 24759 '03 24504 '02 23749 '01 22331 '00

Vega-Lite specification:
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Chart description: From 2000 the per capita income in the U.S. increased steadily reaching more than 40,000 U.S dollars in 2019. Per capita income in the U.S almost doubled from 2000 to 2019.

Chart data: Income in U.S. dollars years 42315 '19 41192 '18 38927 '17 37099 '16 37061 '15 36152 '14 34945 '13 35116 '12 34127 '11 32319 '10 31361 '09 31258 '08 29513 '07 28554 '06 26839 '05 25587 '04 24759 '03 24504 '02 23749 '01 22331 '00

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Chart description: Mill use has seen a consistent down trend, starting off sharply until around 2008 when the rate flattened off.

Chart data: Year Mill use in thousand 480-pound bales Dec 31, 1989 8657 Dec 31, 1994 10647 Dec 31, 1999 8862 Dec 31, 2004 5871 Dec 31, 2005 4935 Dec 31, 2006 4584 Dec 31, 2007 3541 Dec 31, 2008 3550 Dec 31, 2009 3900 Dec 31, 2010 3300 Dec 31, 2011 3500 Dec 31, 2012 3550 Dec 31, 2013 3575 Dec 31, 2014 3550 Dec 31, 2015 3250 Dec 31, 2016 3350 Dec 31, 2017 3200

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Chart description: YouTube and Any Amazon service seem to have the most share of respondents. Similarly, Sky go and ITV hub are illustrated as having the least amount of share of respondents.

Chart data: Share of respondents Response 0.54 YouTube 0.43 NET: Any Amazon service 0.38 Amazon / Amazon MP3 / Kindle / Amazon Prime 0.38 Netflix 0.31 BBC iPlayer 0.27 NET: Any Apple service 0.27 Spotify 0.22 Google (search engine) 0.21 Facebook 0.18 iTunes / App Store 0.14 Email 0.13 ITV Hub / ITV Player 0.11 Sky Go

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Chart description: Infant mortality has fallen from almost 6 per 1000 in 2009 to 3 per 1000 in 2019. The sharpest falls were between 2009-2012 and between 2016-2019.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 5.4 Dec 31, 2009 4.9 Dec 31, 2010 4.5 Dec 31, 2011 4.2 Dec 31, 2012 4.1 Dec 31, 2013 4 Dec 31, 2014 4 Dec 31, 2015 3.9 Dec 31, 2016 3.6 Dec 31, 2017 3.3 Dec 31, 2018 3

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Chart description: The issue felt to be the most important one facing women and girls in Brazil as of 2019 by the largest proportion of respondents was sexual violence. Issues felt to be the second and third most important facing women and girls in Brazil as of 2019 were sexual harassment and physical violence.

Chart data: Response Share of respondents Sexual violence 0.39 Physical violence 0.34 Sexual harassment 0.28 Domestic abuse 0.19 Equal pay 0.17 Sexualization of women and girls in the media 0.13 Access to employment 0.1 Lack of financial/economic independence 0.08 Lack of women in leadership roles in business and public life 0.08 The amount of unpaid work that women do (e.g. cooking, cleaning, childcare) 0.07 Gender stereotyping 0.07 Abuse on Social Media 0.07 Workplace discrimination 0.06 Balancing work and caring responsibilities 0.05 Support for pregnant women and new mothers 0.02

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