delen/vistext huggingface dataset:
Chart description: CD albums/singles has the highest average spend at 0.3. Tickets for music concerts had the lowest average at about 0.02. With the exception of tickets for music concerts and tickets for festivals, all other music activities had an average spend of over 0.1. 4 music activities had an average spend of between 0.1 and 0.2. 4 music activities had an average spend of between 0.2 and 0.3. Only one activity had an average spend of more than 0.3.

Chart data: Response $10 to $19.99 Tickets for music concerts/gigs 0.02 Tickets for festivals 0.06 Music merchandise items 0.14 Vinyl albums 0.17 Pre-paid music voucher 0.26 Music streaming subscription gift cards 0.28 CD albums/singles 0.31 Music DVDs 0.28 MP3/download albums 0.26 Vinyl singles 0.18 MP3/download singles/tracks 0.15

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": "multiColumn/data/4438.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "$10 to $19.99"}, "field": "$10 to $19\\.99"}}, "title": ["Average spending per consumer on selected", "music activities in the United States as", "of July 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: CD albums/singles had the highest spending per consumer. Tickets for music concerts had the lowest spend pet consumer. Vinyl albums and vinyl singles are listed separately, whereas CD albums and singles are combined.

Chart data: Response $10 to $19.99 Tickets for music concerts/gigs 0.02 Tickets for festivals 0.06 Music merchandise items 0.14 Vinyl albums 0.17 Pre-paid music voucher 0.26 Music streaming subscription gift cards 0.28 CD albums/singles 0.31 Music DVDs 0.28 MP3/download albums 0.26 Vinyl singles 0.18 MP3/download singles/tracks 0.15

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": "multiColumn/data/4438.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "$10 to $19.99"}, "field": "$10 to $19\\.99"}}, "title": ["Average spending per consumer on selected", "music activities in the United States as", "of July 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Average spending per consumer is high for vinyl albums, music vouchers , DVD and streaming- all above 0.2 with vinyls albums clearly leading.  Spending for vinyl singles, festival tickets and mp3s are all low under or around 0.1.

Chart data: $20 to $39.99 Response 0.08 Tickets for music concerts/gigs 0.1 Tickets for festivals 0.26 Music merchandise items 0.29 Vinyl albums 0.28 Pre-paid music voucher 0.24 Music streaming subscription gift cards 0.23 CD albums/singles 0.21 Music DVDs 0.18 MP3/download albums 0.05 Vinyl singles 0.11 MP3/download singles/tracks

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": "multiColumn/data/4438.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "quantitative", "axis": {"title": "$20 to $39.99"}, "field": "$20 to $39\\.99"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Average spending per consumer on selected", "music activities in the United States as", "of July 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The share of GDP generated by the travel and tourism industry worldwide from 2000 to 2019 has fluctuated during this period and has resulted in a decrease overall.

Chart data: Year Total Dec 31, 1999 0.109 Dec 31, 2000 0.108 Dec 31, 2001 0.105 Dec 31, 2002 0.102 Dec 31, 2003 0.103 Dec 31, 2004 0.101 Dec 31, 2005 0.1 Dec 31, 2006 0.099 Dec 31, 2007 0.098 Dec 31, 2008 0.096 Dec 31, 2009 0.093 Dec 31, 2010 0.094 Dec 31, 2011 0.095 Dec 31, 2012 0.096 Dec 31, 2013 0.097 Dec 31, 2014 0.1 Dec 31, 2015 0.101 Dec 31, 2016 0.103 Dec 31, 2017 0.104 Dec 31, 2018 0.104

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/443.tsv"}, "mark": "line", "encoding": {"color": {"value": "#333333"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Total"}, "field": "Total"}}, "title": ["Share of GDP generated by the travel and", "tourism industry worldwide from 2000 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The distribution of the bbc network is not so equal n this chart, Between London and all the other one there is a lot of discrepancy.

Chart data: 2012 geographic region 0.458 Total nations and regions 0.542 London 0.301 Total regions excl. London 0.167 North of England 0.157 Total nations 0.076 Scotland 0.074 South of England 0.068 Wales 0.023 Multi-region** 0.013 Northern Ireland 0.037 Midlands

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": "multiColumn/data/4444.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e7cb94"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "2012"}, "field": "2012"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "geographic region"}}, "title": ["Regional distribution of BBC network TV", "programming spending in the United Kingdom", "(UK) from 2012 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: London has the highest programming spending out of all the regions listed on the x axis. I am unsure what the Y axis is measured in so can’t really comment anymore on this.

Chart data: geographic region 2015 Total nations and region  0.481; geographic region: Total nations and regions Londo  0.519; geographic region: London Total regions excl. Londo  0.316; geographic region: Total regions excl. London North of Englan  0.174; geographic region: North of England Total nation  0.166; geographic region: Total nations Scotlan  0.077; geographic region: Scotland South of Englan  0.093; geographic region: South of England Wale  0.071; geographic region: Wales Multi-region*  0.03; geographic region: Multi-region** Northern Irelan  0.018; geographic region: Northern Ireland Midland  0.018; geographic region: Midlands

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": "multiColumn/data/4444.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "geographic region"}, "y": {"type": "quantitative", "axis": {"title": "2015"}, "field": "2015"}}, "title": ["Regional distribution of BBC network TV", "programming spending in the United Kingdom", "(UK) from 2012 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The biggest number of BBC viewers are in London which is reflective of the population size.  But overall North of England has more viewers than the South.

Chart data: geographic region 2016 Total nations and region  0.506; geographic region: Total nations and regions Londo  0.494; geographic region: London Total regions excl. Londo  0.314; geographic region: Total regions excl. London North of Englan  0.197; geographic region: North of England Total nation  0.192; geographic region: Total nations Scotlan  0.103; geographic region: Scotland South of Englan  0.076; geographic region: South of England Wale  0.058; geographic region: Wales Multi-region*  0.026; geographic region: Multi-region** Northern Irelan  0.031; geographic region: Northern Ireland Midland  0.015; geographic region: Midlands

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": "multiColumn/data/4444.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "geographic region"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "2016"}, "field": "2016"}}, "title": ["Regional distribution of BBC network TV", "programming spending in the United Kingdom", "(UK) from 2012 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: January and April 2018 were the months where the lowest volumes of crude oil was exported. September however was the month where the highest volume of crude oil was exported at 0.10.

Chart data: Month Czechia Dec'18 0.08 Nov'18 0.08 Oct'18 0.08 Sep'18 0.1 Aug'18 0.09 Jul'18 0.09 Jun'18 0.09 May'18 0.08 Apr'18 0.06 Mar'18 0.09 Feb'18 0.09 Jan'18 0.06

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": "multiColumn/data/4450.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "Czechia"}, "field": "Czechia"}}, "title": ["Volume of crude oil exported through the", "Druzhba pipeline from Russia in 2018 , by", "country of destination (in 1,000 barrels", "per day)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The volume of crude oil exported by Czechia in 2018 throughout the year was usually 0.08 or over, with only two months being less than 0.08. The month with the highest amount exported was September, and the lowest January.

Chart data: Month Czechia Dec'18 0.08 Nov'18 0.08 Oct'18 0.08 Sep'18 0.1 Aug'18 0.09 Jul'18 0.09 Jun'18 0.09 May'18 0.08 Apr'18 0.06 Mar'18 0.09 Feb'18 0.09 Jan'18 0.06

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": "multiColumn/data/4450.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "Czechia"}, "field": "Czechia"}}, "title": ["Volume of crude oil exported through the", "Druzhba pipeline from Russia in 2018 , by", "country of destination (in 1,000 barrels", "per day)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest oil volume exported was 100 barrels per day in June. The lowest volume was 50 barrels per day in April.

Chart data: Month Hungary Dec'18 0.09 Nov'18 0.08 Oct'18 0.09 Sep'18 0.09 Aug'18 0.09 Jul'18 0.09 Jun'18 0.1 May'18 0.07 Apr'18 0.05 Mar'18 0.09 Feb'18 0.08 Jan'18 0.07

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": "multiColumn/data/4450.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Hungary"}, "field": "Hungary"}}, "title": ["Volume of crude oil exported through the", "Druzhba pipeline from Russia in 2018 , by", "country of destination (in 1,000 barrels", "per day)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Not a massive fluctuation although the graph itself is all over the place, the dates aren’t in order so quite hard to read as no effort put into providing clear data.

Chart data: Month Hungary Dec'18 0.09 Nov'18 0.08 Oct'18 0.09 Sep'18 0.09 Aug'18 0.09 Jul'18 0.09 Jun'18 0.1 May'18 0.07 Apr'18 0.05 Mar'18 0.09 Feb'18 0.08 Jan'18 0.07

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": "multiColumn/data/4450.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Hungary"}, "field": "Hungary"}}, "title": ["Volume of crude oil exported through the", "Druzhba pipeline from Russia in 2018 , by", "country of destination (in 1,000 barrels", "per day)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The net new cash flow appears to have severely decreased in the past few years - aside from the 2009 figure, these are the only years with a negative net value.

Chart data: Equity, bond, and hybrid funds Year −99 2019 −191 2018 72 2017 −197 2016 −120 2015 100 2014 163 2013 200 2012* 28 2011 244 2010 393 2009 −211 2008 224 2007 227 2006 192 2005 210 2004 216 2003 121 2002 129 2001 229 2000

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": "multiColumn/data/4455.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ff9d98"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Equity, bond, and hybrid funds"}, "field": "Equity, bond, and hybrid funds"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}}, "title": ["Net new cash flow to mutual funds in the", "United States from 2000 to 2019 , by fund", "type (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The distribution of employment in the agricultural sector in the Phillipines in 2010 was around 0.33. This figure has declined over the years until 2020 when it was 0.23. The steepest decline appears to be between 2014 and 2016.

Chart data: Year Agriculture Dec 31, 2009 0.3284 Dec 31, 2010 0.3269 Dec 31, 2011 0.3216 Dec 31, 2012 0.3105 Dec 31, 2013 0.3042 Dec 31, 2014 0.2919 Dec 31, 2015 0.2703 Dec 31, 2016 0.2544 Dec 31, 2017 0.2429 Dec 31, 2018 0.2341 Dec 31, 2019 0.2252

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/446.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6bddb"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Philippines : Distribution of employment", "by economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the graph shows an overall increase in employment within the industrual sector. there is a very small decline between 2010 and 2012 but this quickly recovers and increases from almost 0.15 to 0.20 by 2020.

Chart data: Year Industry Dec 31, 2009 0.1554 Dec 31, 2010 0.1531 Dec 31, 2011 0.1527 Dec 31, 2012 0.1558 Dec 31, 2013 0.1594 Dec 31, 2014 0.1619 Dec 31, 2015 0.1745 Dec 31, 2016 0.1827 Dec 31, 2017 0.1906 Dec 31, 2018 0.1944 Dec 31, 2019 0.1985

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "multiColumn/data/446.tsv"}, "mark": "line", "encoding": {"color": {"value": "#c4c4c4"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Industry"}, "field": "Industry"}}, "title": ["Philippines : Distribution of employment", "by economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: there was a steady rise in the Philippines : Distribution of employment by economic sector from 2010 to 2020.,.

Chart data: Year Services Dec 31, 2009 0.5163 Dec 31, 2010 0.5201 Dec 31, 2011 0.5256 Dec 31, 2012 0.5338 Dec 31, 2013 0.5365 Dec 31, 2014 0.5462 Dec 31, 2015 0.5552 Dec 31, 2016 0.5629 Dec 31, 2017 0.5664 Dec 31, 2018 0.5716 Dec 31, 2019 0.5764

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": "multiColumn/data/446.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Services"}, "field": "Services"}}, "title": ["Philippines : Distribution of employment", "by economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Services are at peak just under 0.6 in the year 2020 while the lowest distribution of employment in services was in the year 2010 just at 0.5.

Chart data: Year Services Dec 31, 2009 0.5163 Dec 31, 2010 0.5201 Dec 31, 2011 0.5256 Dec 31, 2012 0.5338 Dec 31, 2013 0.5365 Dec 31, 2014 0.5462 Dec 31, 2015 0.5552 Dec 31, 2016 0.5629 Dec 31, 2017 0.5664 Dec 31, 2018 0.5716 Dec 31, 2019 0.5764

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": "multiColumn/data/446.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Services"}, "field": "Services"}}, "title": ["Philippines : Distribution of employment", "by economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of Facebook fans of the Charlotte Hornets peaked towards the end of 2016 at around 1.7 million fans. There is a declining trend in the number of fans since 2019.

Chart data: Month Facebook fans Aug 31, 2012 0.13 Jan 31, 2013 0.16 Aug 31, 2013 0.2 Feb 28, 2014 0.6 Aug 31, 2014 0.93 Feb 28, 2015 1.25 Aug 31, 2015 1.42 Feb 29, 2016 1.61 Aug 31, 2016 1.73 Feb 28, 2017 1.74 Aug 31, 2017 1.74 Feb 28, 2018 1.74 Aug 31, 2018 1.74 Feb 28, 2019 1.74 Aug 31, 2019 1.74 Feb 29, 2020 1.72 Aug 31, 2020 1.7

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": "multiColumn/data/4470.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Facebook fans"}, "field": "Facebook fans"}}, "title": ["Number of Facebook fans/twitter followers", "of the Charlotte Hornets (NBA) from 2012", "to 2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The following has been growing consistently since 2014. It levelled off around 2018 and began growing again in 2020.

Chart data: Month Twitter followers Aug 31, 2012 0.07 Jan 31, 2013 0.12 Aug 31, 2013 0.15 Feb 28, 2014 0.19 Aug 31, 2014 0.26 Feb 28, 2015 0.36 Aug 31, 2015 0.4 Feb 29, 2016 0.48 Aug 31, 2016 0.58 Feb 28, 2017 0.68 Aug 31, 2017 0.8 Feb 28, 2018 0.87 Aug 31, 2018 0.88 Feb 28, 2019 0.88 Aug 31, 2019 0.95 Feb 29, 2020 0.98 Aug 31, 2020 0.98

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": "multiColumn/data/4470.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Twitter followers"}, "field": "Twitter followers"}}, "title": ["Number of Facebook fans/twitter followers", "of the Charlotte Hornets (NBA) from 2012", "to 2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From the above chart you can see they hot a plateaux in 2018-2019 .

Chart data: Month Twitter followers Aug 31, 2012 0.13 Jan 31, 2013 0.17 Aug 31, 2013 0.23 Feb 28, 2014 0.29 Aug 31, 2014 0.36 Feb 28, 2015 0.45 Aug 31, 2015 0.52 Feb 29, 2016 0.59 Aug 31, 2016 0.71 Feb 28, 2017 0.87 Aug 31, 2017 1.14 Feb 28, 2018 1.45 Aug 31, 2018 1.46 Feb 28, 2019 1.46 Aug 31, 2019 1.8 Feb 29, 2020 1.89 Aug 31, 2020 1.9

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": "multiColumn/data/4471.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fdbf11"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "Twitter followers"}, "field": "Twitter followers"}}, "title": ["Number of Facebook fans/twitter followers", "of the Philadelphia 76ers (NBA) from 2012", "to 2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of followers has been rising since 2012, it levelled around 2018 till 2019 then grow again only to level again around 2021.

Chart data: Month Twitter followers Aug 31, 2012 0.13 Jan 31, 2013 0.17 Aug 31, 2013 0.23 Feb 28, 2014 0.29 Aug 31, 2014 0.36 Feb 28, 2015 0.45 Aug 31, 2015 0.52 Feb 29, 2016 0.59 Aug 31, 2016 0.71 Feb 28, 2017 0.87 Aug 31, 2017 1.14 Feb 28, 2018 1.45 Aug 31, 2018 1.46 Feb 28, 2019 1.46 Aug 31, 2019 1.8 Feb 29, 2020 1.89 Aug 31, 2020 1.9

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": "multiColumn/data/4471.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fdbf11"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "Twitter followers"}, "field": "Twitter followers"}}, "title": ["Number of Facebook fans/twitter followers", "of the Philadelphia 76ers (NBA) from 2012", "to 2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a sharp increase in the number of failed, foiled or completed terrorist attack in the EU from 2012 to 2014. The incidences went from just over 20 to just under 120 in the two year period between 2012 to 2014. In contrast there was a sharp decrease in incidences between 2014 and 2016. The incidences decreased from just under 120 to just over 0 in this two year period. The incidences remain low compared with the early years of the data shown, with just over 0 incidences in 2016 and 2018. From 2018 to 2019 the chart shows the incidences are on the rise again.

Chart data: Year Other Dec 31, 2009 41 Dec 31, 2010 26 Dec 31, 2011 26 Dec 31, 2012 44 Dec 31, 2013 117 Dec 31, 2014 107 Dec 31, 2015 2 Dec 31, 2016 6 Dec 31, 2017 1 Dec 31, 2018 9

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/4475.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Other"}, "field": "Other"}}, "title": ["Number of failed , foiled or completed terrorist", "attacks in the European Union (EU) from 2010", "to 2019 , by affiliation"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a higher number of failed, foiled or completed terrorist attacks in the EU from 2010-2015 than there was in 2016-2019. The hugest number of failed, foiled it completed terrorist attacks in the EU was in 2014. The lowest number of attacks was in 2016 and 2018.

Chart data: Year Other Dec 31, 2009 41 Dec 31, 2010 26 Dec 31, 2011 26 Dec 31, 2012 44 Dec 31, 2013 117 Dec 31, 2014 107 Dec 31, 2015 2 Dec 31, 2016 6 Dec 31, 2017 1 Dec 31, 2018 9

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/4475.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Other"}, "field": "Other"}}, "title": ["Number of failed , foiled or completed terrorist", "attacks in the European Union (EU) from 2010", "to 2019 , by affiliation"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}