delen/vistext huggingface dataset:
Chart description: Production of fish sticks in the usa peaked around the mid 200s to circa 2012.

Chart data: Year Production of fish sticks in metric tons Dec 31, 1999 18110 Dec 31, 2000 19511 Dec 31, 2001 21585 Dec 31, 2002 14281 Dec 31, 2003 27078 Dec 31, 2004 28010 Dec 31, 2005 26922 Dec 31, 2006 33533 Dec 31, 2007 37404 Dec 31, 2008 36100 Dec 31, 2009 33771 Dec 31, 2010 36303 Dec 31, 2011 26406 Dec 31, 2012 26556 Dec 31, 2013 30289 Dec 31, 2014 30068 Dec 31, 2015 25128 Dec 31, 2016 25059 Dec 31, 2017 24987

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/14134.tsv"}, "mark": "area", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Production of fish sticks in metric tons"}, "field": "Production of fish sticks in metric tons"}}, "title": ["Production of fish sticks in the United", "States from 2000 to 2018 (in metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the number of people celebrating valentine's day has declined from 2007 to 2016, with small increases in 2012 and 2015. In 2007, around 0.65 of respondents were planning to celebrate valentine's day. In 2016, around 0.55 of respondents were planning to celebrate valentine's day.

Chart data: Response Share of respondents Dec 31, 2006 0.634 Dec 31, 2007 0.613 Dec 31, 2008 0.628 Dec 31, 2009 0.596 Dec 31, 2010 0.581 Dec 31, 2011 0.594 Dec 31, 2012 0.599 Dec 31, 2013 0.538 Dec 31, 2014 0.549 Dec 31, 2015 0.548

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": "data/14136.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Share of Americans planning to celebrate", "Valentine 's Day from 2007 to 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The budget in Albania was fairly evenly balanced to gdp between 2010 to 2015. It was poorly balanced between 2016 to 2020.

Chart data: Year Budget balance in relation to GDP 2025* −0.0193 2024* −0.02 2023* −0.0205 2022* −0.0259 2021* −0.0472 2020* −0.0842 2019* −0.0196 2018 −0.0135 2017 −0.0139 2016 −0.0176 2015 −0.0405 2014 −0.0546 2013 −0.0522 2012 −0.0344 2011 −0.0352 2010 −0.0352 2009 −0.0659

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/14141.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Budget balance in relation to GDP"}, "field": "Budget balance in relation to GDP"}}, "title": ["Albania : Budget balance between 2009 to", "2025 in relation to GDP"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The line chart shows the home ownership interest rate in Italy  between 2008 and 2018, and It reveals that the rate is between 0.6 and 0.8 in general.

Chart data: Year Home ownership rate Dec 31, 2007 0.728 Dec 31, 2008 0.728 Dec 31, 2009 0.726 Dec 31, 2010 0.732 Dec 31, 2011 0.742 Dec 31, 2012 0.733 Dec 31, 2013 0.731 Dec 31, 2014 0.729 Dec 31, 2015 0.723 Dec 31, 2016 0.724 Dec 31, 2017 0.724

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": "data/14144.tsv"}, "mark": "line", "encoding": {"color": {"value": "#e7cb94"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Home ownership rate"}, "field": "Home ownership rate"}}, "title": ["Home ownership rate in Italy from 2008 to", "2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a sharp decrease in production until 2004, where after production increased and remained steady until 2012.

Chart data: Year Passenger cars produced in millions Dec 31, 1998 2.23 Dec 31, 1999 2.19 Dec 31, 2000 1.93 Dec 31, 2001 1.71 Dec 31, 2002 1.62 Dec 31, 2003 1.58 Dec 31, 2004 1.54 Dec 31, 2005 1.76 Dec 31, 2006 1.99 Dec 31, 2007 1.85 Dec 31, 2008 1.96 Dec 31, 2009 1.78 Dec 31, 2010 1.8 Dec 31, 2011 1.5 Dec 31, 2012 2.16 Dec 31, 2013 1.9

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/14160.tsv"}, "mark": "line", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Passenger cars produced in millions"}, "field": "Passenger cars produced in millions"}}, "title": ["Number of passenger cars produced by Fiat", "worldwide from 1999 to 2014 (in million units)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Gradual decline to 2005 then variable amounts until 2014.

Chart data: Year Passenger cars produced in millions Dec 31, 1998 2.23 Dec 31, 1999 2.19 Dec 31, 2000 1.93 Dec 31, 2001 1.71 Dec 31, 2002 1.62 Dec 31, 2003 1.58 Dec 31, 2004 1.54 Dec 31, 2005 1.76 Dec 31, 2006 1.99 Dec 31, 2007 1.85 Dec 31, 2008 1.96 Dec 31, 2009 1.78 Dec 31, 2010 1.8 Dec 31, 2011 1.5 Dec 31, 2012 2.16 Dec 31, 2013 1.9

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/14160.tsv"}, "mark": "line", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Passenger cars produced in millions"}, "field": "Passenger cars produced in millions"}}, "title": ["Number of passenger cars produced by Fiat", "worldwide from 1999 to 2014 (in million units)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: more than half of the respondents chose "spending time with family" and "spending time with friends" showing how important these two things are in general while just under half also chose "doing well at school or university". This shows that a large number of the respondents had the same thought while choosing these or that these are just common things that would make most people in the population happy.

Chart data: Response Share of respondents Spending time with friends 0.59 Spending time with family 0.57 Doing well at school or university 0.47 Having hobbies that I enjoy 0.28 Being able to support myself 0.19 Enjoying my job 0.19 Having enough money to buy new things 0.18 Living a healthy, active life 0.18 Doing work to help people (e.g. volunteering) 0.11 Shopping 0.04 Other 0.04

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/14167.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Which , if any , of the following makes", "you most happy ? (Please select up to three)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Urbanisation has increased slightly over the course of years.

Chart data: Year Unnamed: 1 Dec 31, 2008 0.7417 Dec 31, 2009 0.7467 Dec 31, 2010 0.7519 Dec 31, 2011 0.757 Dec 31, 2012 0.762 Dec 31, 2013 0.7669 Dec 31, 2014 0.7718 Dec 31, 2015 0.7766 Dec 31, 2016 0.7813 Dec 31, 2017 0.786 Dec 31, 2018 0.7904

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/14173.tsv"}, "mark": "line", "encoding": {"color": {"value": "#decbe4"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Unnamed: 1"}, "field": "Unnamed: 1"}}, "title": ["Belarus : Urbanization from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Urbanisation has increased in Belarus over the last 20 years. It has increased by about 0.5 in this time period.

Chart data: Year Unnamed: 1 Dec 31, 2008 0.7417 Dec 31, 2009 0.7467 Dec 31, 2010 0.7519 Dec 31, 2011 0.757 Dec 31, 2012 0.762 Dec 31, 2013 0.7669 Dec 31, 2014 0.7718 Dec 31, 2015 0.7766 Dec 31, 2016 0.7813 Dec 31, 2017 0.786 Dec 31, 2018 0.7904

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/14173.tsv"}, "mark": "line", "encoding": {"color": {"value": "#decbe4"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Unnamed: 1"}, "field": "Unnamed: 1"}}, "title": ["Belarus : Urbanization from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: this bar chart shows and predicts a steady increase year on year of milk production.

Chart data: Year Volume in million metric tons 2028* 159384 2027* 158613 2026* 157808 2025* 157023 2024* 156195 2023* 155381 2022* 154545 2021* 153431 2020* 152232 2019* 151415 2018** 150142 2017 148907 2016 148606 2015 147502

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/14177.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Volume in million metric tons"}, "field": "Volume in million metric tons"}}, "title": ["Forecast volume of milk produced in the", "European Union (EU 27) from 2015 to 2028", "(in thousand metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Ice 2 had the biggest box office film release of 2020.

Chart data: Revenue in million Russian rubles film 610 Ice 2 450 Invasion 422 Sonic the Hedgehog 317 Bad Boys for Life 301 (Not) A Perfect Man 292 The Gentlemen 282 Dolittle 240 Birds of Prey and the Fantabulous Emancipation of One Harley Quinn 233 Hotel Belgrade 226 Neposredstvenno Kakha

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "data/14184.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#00796B"}, "x": {"type": "quantitative", "axis": {"title": "Revenue in million Russian rubles"}, "field": "Revenue in million Russian rubles"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "film"}}, "title": ["Ranking of most successful film releases", "of 2020 in Russia as of December 8 , 2020", ", by first weekend box office revenue (in", "million Russian rubles)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The lowest ASCI score is from 2000 being 70. It then was gradually increasing to about 78 in 2006 after which it slight ly decreased and sttayed at 76.From 2009 till 2012 it was increasing up to 82. it then decreased to 78 in 2015. It spiked up in 2016 to 81. since then it was slightly decreasing.

Chart data: Year ACSI score Dec 31, 1999 69 Dec 31, 2000 70 Dec 31, 2001 74 Dec 31, 2002 75 Dec 31, 2004 74 Dec 31, 2005 77 Dec 31, 2006 75 Dec 31, 2007 75 Dec 31, 2008 75 Dec 31, 2009 78 Dec 31, 2010 80 Dec 31, 2011 82 Dec 31, 2012 82 Dec 31, 2013 80 Dec 31, 2014 74 Dec 31, 2015 81 Dec 31, 2016 78 Dec 31, 2017 77 Dec 31, 2018 77 Dec 31, 2019 76

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/14186.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fdcdac"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "ACSI score"}, "field": "ACSI score"}}, "title": ["American customer satisfaction index scores", "of Little Caesars restaurants in the United", "States from 2000 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: After reaching a peak number of children born in 2012, fertility is since declining. However, there is a regularity of around 3 - 4 children per woman.

Chart data: Year Number of born children per woman Dec 31, 2007 3.93 Dec 31, 2008 3.99 Dec 31, 2009 4.03 Dec 31, 2010 4.06 Dec 31, 2011 4.06 Dec 31, 2012 4.03 Dec 31, 2013 3.97 Dec 31, 2014 3.9 Dec 31, 2015 3.8 Dec 31, 2016 3.71 Dec 31, 2017 3.62

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/14191.tsv"}, "mark": "line", "encoding": {"color": {"value": "#b9cc98"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of born children per woman"}, "field": "Number of born children per woman"}}, "title": ["Zimbabwe : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a gradual increase in the number of born children per woman between 2008 and 2012. A sharper decline in the number of born children per woman each year followed, from 2012 onwards.

Chart data: Year Number of born children per woman Dec 31, 2007 3.93 Dec 31, 2008 3.99 Dec 31, 2009 4.03 Dec 31, 2010 4.06 Dec 31, 2011 4.06 Dec 31, 2012 4.03 Dec 31, 2013 3.97 Dec 31, 2014 3.9 Dec 31, 2015 3.8 Dec 31, 2016 3.71 Dec 31, 2017 3.62

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/14191.tsv"}, "mark": "line", "encoding": {"color": {"value": "#b9cc98"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of born children per woman"}, "field": "Number of born children per woman"}}, "title": ["Zimbabwe : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2005 saw the highest consumption of sour cream and dips in the United States from 2000-2009. Sour cream and dips consumption in the US has increased since 2000-2008.

Chart data: Year Per capita consumption in half pints Dec 31, 1999 6.1 Dec 31, 2000 6.5 Dec 31, 2001 6.7 Dec 31, 2002 7.5 Dec 31, 2003 7.9 Dec 31, 2004 8.3 Dec 31, 2005 7.9 Dec 31, 2006 8.2 Dec 31, 2007 7.9 Dec 31, 2008 7.8

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/14199.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Per capita consumption in half pints"}, "field": "Per capita consumption in half pints"}}, "title": ["Per capita consumption of sour cream and", "dips in the United States from 2000 to 2009", "(in 1/2 pints)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a steady climb from 2 billion rubles in 2007 until a peak of 17 million in 2014. The trend until then was steadily upwards. There was then a fairly sudden drop to 8 billion in 2016 before a slight recovery to 9 billion in 2017, then a steep climb to over 45 billion in 2018. Immediately after the sharp peak it dropped again to almost 2017 levels of around 11 million. The overall trend remains upwards, but the current trend looks less positive.

Chart data: Year Net income in billion Russian rubles Dec 31, 2006 1.52 Dec 31, 2007 2.43 Dec 31, 2008 2.01 Dec 31, 2009 3.82 Dec 31, 2010 5.77 Dec 31, 2011 8.22 Dec 31, 2012 13.47 Dec 31, 2013 17.02 Dec 31, 2014 9.68 Dec 31, 2015 6.78 Dec 31, 2016 8.66 Dec 31, 2017 44.26 Dec 31, 2018 11.2

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/14203.tsv"}, "mark": "line", "encoding": {"color": {"value": "#3690c0"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Net income in billion Russian rubles"}, "field": "Net income in billion Russian rubles"}}, "title": ["Annual net income of Yandex from 2007 to", "2019 (in billion Russian rubles)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a significant decrease in the number of shipments from six thousand in 2008 to under two thousand in 2009. After 2009, there has been a small increase in the number of shipments over the years with fluctuations between two thousand and four thousand. Overall, the number of shipments has decreased from 2008 to 2018 to under four thousand. The number of wholesale shipments of truck campers has also decreased overall from 2007 to 2019.

Chart data: Year Number of shipments in thousands Dec 31, 2006 7.5 Dec 31, 2007 4.7 Dec 31, 2008 1.9 Dec 31, 2009 2.9 Dec 31, 2010 2.8 Dec 31, 2011 3.5 Dec 31, 2012 3.8 Dec 31, 2013 3.2 Dec 31, 2014 3.3 Dec 31, 2015 3.1 Dec 31, 2016 3.2 Dec 31, 2017 3.8 Dec 31, 2018 3.4

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/14205.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Number of shipments in thousands"}, "field": "Number of shipments in thousands"}}, "title": ["Number of wholesale shipments of truck campers", "in the United States from 2007 to 2019 (in", "thousands)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There are a lot of fluctuations on this graph. From 1993 to 2017 the operating income has grown from 0 to over 400 million euros. However there is a steep rise in 2000 -2005 from approx 20 million to 380 million euros and a steeper drop 2011-2012 from 340 to 100 million euros. The income then recovers in 2013 to 200 million drops again in 2015 before becoming 400 million in 2019.

Chart data: Year Operating income in million euros Dec 31, 1992 −26.2 Dec 31, 1994 31 Dec 31, 1999 22.8 Dec 31, 2004 379.7 Dec 31, 2005 368 Dec 31, 2006 372 Dec 31, 2007 350.4 Dec 31, 2008 299.7 Dec 31, 2009 306.8 Dec 31, 2010 333.2 Dec 31, 2011 113.2 Dec 31, 2012 191.4 Dec 31, 2013 128 Dec 31, 2014 96.3 Dec 31, 2015 127.6 Dec 31, 2016 244.6 Dec 31, 2017 337.4 Dec 31, 2018 440.2

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/14206.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Operating income in million euros"}, "field": "Operating income in million euros"}}, "title": ["Puma 's operating income (EBIT) worldwide", "from 1993 to 2019 (in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The lowest expenditure was in 2010. The highest expenditure was in 2018. Mostly expenditure lies within 6000 and 8000.

Chart data: Year Expenditure in million GBP Dec 31, 2004 7202 Dec 31, 2005 7842 Dec 31, 2006 7769 Dec 31, 2007 8151 Dec 31, 2008 6875 Dec 31, 2009 6724 Dec 31, 2010 7165 Dec 31, 2011 8020 Dec 31, 2012 7854 Dec 31, 2013 8459 Dec 31, 2014 8336 Dec 31, 2015 8464 Dec 31, 2016 8612 Dec 31, 2017 9550 Dec 31, 2018 11007

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/14207.tsv"}, "mark": "area", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Expenditure in million GBP"}, "field": "Expenditure in million GBP"}}, "title": ["Annual expenditure on household appliances", "in the United Kingdom (UK) from 2005 to 2019", ", based on volume (in million GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between February 2019 and December 2020, the Consumer Price Index in Kenya rose from 100 to 110There were small, but steady increases from February 2019 to April 2020 when it remained relatively stable for the quarter before beginning to rise again.

Chart data: Month Consumer price index (February 2019 = 100) Jan 31, 2019 100 Feb 28, 2019 101.54 Mar 31, 2019 102.34 Apr 30, 2019 103.11 May 31, 2019 103.52 Jun 30, 2019 103.83 Jul 31, 2019 104.04 Aug 31, 2019 104.2 Sep 30, 2019 104.54 Oct 31, 2019 105.17 Nov 30, 2019 105.92 Dec 31, 2019 106.51 Jan 31, 2020 107.17 Feb 29, 2020 107.47 Mar 31, 2020 108.49 Apr 30, 2020 108.6 May 31, 2020 108.27 Jun 30, 2020 108.35 Jul 31, 2020 108.57 Aug 31, 2020 108.57 Sep 30, 2020 109.6 Oct 31, 2020 110.78 Nov 30, 2020 111.87

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "data/14215.tsv"}, "mark": "area", "encoding": {"color": {"value": "#545454"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "Consumer price index (February 2019 = 100)"}, "field": "Consumer price index (February 2019 = 100)"}}, "title": ["Consumer price index in Kenya from February", "2019 to December 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Canada and the UAE are marked with an asterix, but it is not clear why. China, the USA and the EU are the largest importers by a considerable margin, with the US being the largest overall.

Chart data: Importing nation Import share United States 0.162 Extra-EU (28) 0.136 China 0.131 Japan 0.045 United Kingdom 0.044 Hong Kong, China 0.036 Republic of Korea 0.032 India 0.03 Canada* 0.029 Mexico 0.029 Singapore 0.023 Chinese Taipei 0.018 Switzerland 0.017 United Arab Emirates* 0.016 Russian Federation 0.016

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/14217.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#D9B300"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Importing nation"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Import share"}, "field": "Import share"}}, "title": ["Share of the leading merchandise importers", "worldwide in 2019 , by importing nation"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Us has the largest import share, both China and EU (extra) where the only 2 others to have shares above 0.10.

Chart data: Importing nation Import share United States 0.162 Extra-EU (28) 0.136 China 0.131 Japan 0.045 United Kingdom 0.044 Hong Kong, China 0.036 Republic of Korea 0.032 India 0.03 Canada* 0.029 Mexico 0.029 Singapore 0.023 Chinese Taipei 0.018 Switzerland 0.017 United Arab Emirates* 0.016 Russian Federation 0.016

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/14217.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#D9B300"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Importing nation"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Import share"}, "field": "Import share"}}, "title": ["Share of the leading merchandise importers", "worldwide in 2019 , by importing nation"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: April 2020 saw the greatest percentage positive change (and overall change) in disposable income. May 2020 saw the greatest percentage negative change in disposable income.

Chart data: Month Monthly percentage of change Nov '20* −0.012 Oct '20 −0.007 Sep '20 0.008 Aug '20 −0.031 Jul '20 0.008 Jun '20 −0.014 May '20 −0.048 Apr '20 0.148 Mar '20 −0.017 Feb '20 0.007 Jan '20 0.009 Dec '19 0 Nov '19 0.005

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": "data/1421.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Monthly percentage of change"}, "field": "Monthly percentage of change"}}, "title": ["Monthly percentage of change in disposable", "personal income (DPI) in the United States", "from November 2019 to November 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The monthly percentage of change in disposable income in the US from November 2019 to November 2020 fluctuates very rapidly. The largest change is between April and August, where the percentage drops around 0.18. There is no visual data for December, meaning the percentage was not recorded, or at 0. Since December, the percentage fluctuates between being positive for a few months, to negative. The lowest percentage is in may 2020 at almost -0.05. The percentage does not rise to the original again at all on the chart, showing a significant decrease overall.

Chart data: Month Monthly percentage of change Nov '20* −0.012 Oct '20 −0.007 Sep '20 0.008 Aug '20 −0.031 Jul '20 0.008 Jun '20 −0.014 May '20 −0.048 Apr '20 0.148 Mar '20 −0.017 Feb '20 0.007 Jan '20 0.009 Dec '19 0 Nov '19 0.005

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": "data/1421.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Monthly percentage of change"}, "field": "Monthly percentage of change"}}, "title": ["Monthly percentage of change in disposable", "personal income (DPI) in the United States", "from November 2019 to November 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: General government budget deficit as ratio to GDP has started decreasing after 2008. It was the lowest in 2014 at -0.04.

Chart data: Year Ratio to GDP Dec 31, 2004 0.027 Dec 31, 2005 0.04 Dec 31, 2006 0.051 Dec 31, 2007 0.042 Dec 31, 2008 −0.025 Dec 31, 2009 −0.025 Dec 31, 2010 −0.01 Dec 31, 2011 −0.022 Dec 31, 2012 −0.025 Dec 31, 2013 −0.03 Dec 31, 2014 −0.024 Dec 31, 2015 −0.017 Dec 31, 2016 −0.007 Dec 31, 2017 −0.009 Dec 31, 2018 −0.011

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/14224.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b3cde3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Ratio to GDP"}, "field": "Ratio to GDP"}}, "title": ["General government budget deficit in Finland", "from 2005 to 2019 as ratio to GDP (in percent)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall dog ownership has increased, and is at its highest level.

Chart data: Year Penetration rates Dec 31, 1987 0.37 Dec 31, 1989 0.38 Dec 31, 1991 0.38 Dec 31, 1993 0.36 Dec 31, 1995 0.37 Dec 31, 1997 0.39 Dec 31, 1999 0.39 Dec 31, 2001 0.39 Dec 31, 2003 0.39 Dec 31, 2005 0.39 Dec 31, 2007 0.456 Dec 31, 2009 0.463 Dec 31, 2011 0.467 Dec 31, 2013 0.44 Dec 31, 2015 0.48

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/14239.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Penetration rates"}, "field": "Penetration rates"}}, "title": ["Household penetration rates for dog-ownership", "in the United States from 1988 to 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}