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{"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... | Year Number of charter schools 2017/18 7193 2016/17 7011 2015/16 6855 2014/15 6747 2013/14 6465 2012/13 6079 2011/12 5696 2010/11 5274 2009/10 4952 2008/09 4694 2007/08 4388 2003/04 2977 2000/01 1993 | The bar diagram shows that the number of charter schools has increased continually between 2000/01 and 2017/18. The bar diagram shows in 2017/18 there were almost 3.5 times more charter schools than there were in 2000/01. |
{"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/11433.tsv"}, "mark": "area", "encoding":... | Year Sales in million Canadian dollars Dec 31, 2009 90.7 Dec 31, 2010 89 Dec 31, 2011 90.6 Dec 31, 2012 90.1 Dec 31, 2013 82.3 Dec 31, 2014 77.4 Dec 31, 2015 75 Dec 31, 2016 75.6 Dec 31, 2017 76.5 Dec 31, 2018 83.5 | The chart shows that there was a drop in sales from 2014-2017. |
{"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", "#f... | Consumer price in euros per 500 sheets Country 6.53 Norway 5.32 Luxembourg 5.22 Belgium 4.79 Slovenia 4.58 Italy 4.56 Malta 4.47 Germany 4.37 Lithuania 4.27 Cyprus 4.26 Croatia 3.83 Bulgaria 3.73 Poland 3.71 Slovakia 3.43 Romania 3.38 Czech Republic 2.58 Turkey | Norway had the most expensive a4 paper in 2014 compared to other countries on this chart, Belgium was the second leader, and Slovenia was the third. |
{"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", "#f... | Consumer price in euros per 500 sheets Country 6.53 Norway 5.32 Luxembourg 5.22 Belgium 4.79 Slovenia 4.58 Italy 4.56 Malta 4.47 Germany 4.37 Lithuania 4.27 Cyprus 4.26 Croatia 3.83 Bulgaria 3.73 Poland 3.71 Slovakia 3.43 Romania 3.38 Czech Republic 2.58 Turkey | Norway clearly has the most expensive rate for A4 paper, being over 1.5 euros more than the next most expensive. Turkey has the least expensive, being 2.5 times less than Norway. |
{"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", "#f... | Country Insurance penetration Taiwan 0.1997 Hong Kong 0.1974 South Africa 0.134 United States 0.1143 South Korea 0.1078 United Kingdom 0.103 France 0.0921 Japan 0.09 Italy 0.0833 Canada 0.0767 World 0.0723 Germany 0.0633 Australia 0.0495 PR China 0.043 Brazil 0.0403 Mexico 0.0242 | United Kingdom and honk Kong are the countries with the biggest values concerning the penetrahion of life and non life Insurances with the value of 0.20. Mexico has the lowest values withi 0.025. |
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{"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", "#f... | Country Rate per 100,000 population Guadeloupe (France) 189.1 Martinique (France) 158.4 Ireland 132.5 Barbados 129.3 Estonia 109.9 Norway 106.5 Sweden 103 Puerto Rico 101.7 France (metropolitan) 99 New Caledonia (France) 93 French Guiana 92.3 New Zealand 90.8 Czech Republic 88 Bahamas 85.8 Australia 85.6 UK 80.7 Latvi... | This bar chart explains how France both Guadeloupe and Martinique have the most cases of prostate cancer in 2018 which ranges from about 150 - 200 people. |
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e... | Year Production in thousand heads Dec 31, 2004 287.67 Dec 31, 2005 349.43 Dec 31, 2006 428.26 Dec 31, 2007 477.48 Dec 31, 2008 514.23 Dec 31, 2009 496.19 Dec 31, 2010 476.43 Dec 31, 2011 462.51 Dec 31, 2012 435 Dec 31, 2013 429.44 Dec 31, 2014 431.65 Dec 31, 2015 416.53 Dec 31, 2016 431.26 Dec 31, 2017 443.73 | The goat production in Malaysia from 2005 to 2009 jumped from less than 300 thousand to over 500 thousand and it was the biggest jump in the timeline between 2005-2018. Since 2009 it started to drop slightly, and it was at its lowest at 2016, with about 410 thousand. Then it started to grow slightly again. |
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{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e... | Year Production in thousand heads Dec 31, 2004 287.67 Dec 31, 2005 349.43 Dec 31, 2006 428.26 Dec 31, 2007 477.48 Dec 31, 2008 514.23 Dec 31, 2009 496.19 Dec 31, 2010 476.43 Dec 31, 2011 462.51 Dec 31, 2012 435 Dec 31, 2013 429.44 Dec 31, 2014 431.65 Dec 31, 2015 416.53 Dec 31, 2016 431.26 Dec 31, 2017 443.73 | Goat production increased rapidly from 2007 to 2009, from a low base, reaching a peak of over 500,000 in 2009 then declining steadily until 2016 when the trend reverses and starts to climb again. The overall production is up on 2005 from less than 300,000 head to about 430,000 head in 2017. |
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e... | Year Production in thousand heads Dec 31, 2004 287.67 Dec 31, 2005 349.43 Dec 31, 2006 428.26 Dec 31, 2007 477.48 Dec 31, 2008 514.23 Dec 31, 2009 496.19 Dec 31, 2010 476.43 Dec 31, 2011 462.51 Dec 31, 2012 435 Dec 31, 2013 429.44 Dec 31, 2014 431.65 Dec 31, 2015 416.53 Dec 31, 2016 431.26 Dec 31, 2017 443.73 | Production peaked in 2009 and then slowly declined until 2016. |
{"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": "... | Year Production value in million U.S. dollars Dec 31, 2006 46343 Dec 31, 2007 57069 Dec 31, 2008 62186 Dec 31, 2009 70830 Dec 31, 2010 85645 Dec 31, 2011 97833 Dec 31, 2012 111411 Dec 31, 2013 123832 Dec 31, 2014 126350 Dec 31, 2015 135190 Dec 31, 2016 140076 | The value of aquaculture production in China increased from just over $50 million US dollars to just under $150 million US dollars in a four year period, between 2008 and 2016. The biggest rise in value was between 2010 and 2014, as the line on the chart is completely straight with no plateaus. |
{"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... | Brand value (in million U.S. dollars) American football team 510 Dallas Cowboys 500 New England Patriots 471 New York Giants 460 Green Bay Packers 410 Pittsburgh Steelers 340 New Orleans Saints 337 Philadelphia Eagles 329 Baltimore Ravens 325 Houston Texans 325 Washington Football Team | Only one NFL football club has a brand value of more than $500 million and this is only slightly over $500 million. Half the NFL football clubs have a brand value of $300 million. No football clubs have a brand value of less than $300 million. The remaining four clubs have a brand value between $400 and $500 million. |
{"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, "g... | financial year Export value in billion Indian rupees FY 2020 256.51 FY 2019 231.17 FY 2018 200.2 FY 2017 191.1 FY 2016 166.3 FY 2015 148.48 FY 2014 151.46 FY 2013 151.77 FY 2012 131.03 FY 2011 78.87 | Export value of Spices from India started at a low point of 80 billion rupees in 2011. This had increased dramatically to over 250 billion rupees in 2020. Increase was quite uniformly spread, except for a stagnating period between 2013 to 2015. |
{"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... | Year Household income in current U.S. dollars Dec 31, 1989 27464 Dec 31, 1990 27868 Dec 31, 1991 29617 Dec 31, 1992 27438 Dec 31, 1993 30316 Dec 31, 1994 33858 Dec 31, 1995 34696 Dec 31, 1996 32772 Dec 31, 1997 35640 Dec 31, 1998 38862 Dec 31, 1999 37266 Dec 31, 2000 36612 Dec 31, 2001 36853 Dec 31, 2002 37113 Dec 31,... | From 1990 the data shows an overall trend of increasing. There is a near constant increase in median household income before a sudden sharp increase that occurs just before 2019. |
{"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... | Year Household income in current U.S. dollars Dec 31, 1989 27464 Dec 31, 1990 27868 Dec 31, 1991 29617 Dec 31, 1992 27438 Dec 31, 1993 30316 Dec 31, 1994 33858 Dec 31, 1995 34696 Dec 31, 1996 32772 Dec 31, 1997 35640 Dec 31, 1998 38862 Dec 31, 1999 37266 Dec 31, 2000 36612 Dec 31, 2001 36853 Dec 31, 2002 37113 Dec 31,... | Between 1990 and 2019, the median household income in Maine has almost tripled. There were periods between 1990 and 2019 where the median household income in Maine dipped following an increase in previous years. Following the current trend, it would be expected that the median household income in Maine would continue t... |
{"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... | Year Household income in current U.S. dollars Dec 31, 1989 27464 Dec 31, 1990 27868 Dec 31, 1991 29617 Dec 31, 1992 27438 Dec 31, 1993 30316 Dec 31, 1994 33858 Dec 31, 1995 34696 Dec 31, 1996 32772 Dec 31, 1997 35640 Dec 31, 1998 38862 Dec 31, 1999 37266 Dec 31, 2000 36612 Dec 31, 2001 36853 Dec 31, 2002 37113 Dec 31,... | Since around 2017 there has been a sharp increase on the medium household income. |
{"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, "g... | Year Per capita consumption in pounds Dec 31, 1999 11.12 Dec 31, 2000 11.16 Dec 31, 2001 11.1 Dec 31, 2002 10.79 Dec 31, 2003 9.81 Dec 31, 2004 9.58 Dec 31, 2005 9.25 Dec 31, 2006 9.58 Dec 31, 2007 8.87 Dec 31, 2008 9.05 Dec 31, 2009 8.54 Dec 31, 2010 8.65 Dec 31, 2011 7.51 Dec 31, 2012 8.28 Dec 31, 2013 6.6 Dec 31, 2... | Capita consumption of melons seems to show a steady decline apart from a slight rise in 2012/13. |
{"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, "g... | Year Per capita consumption in pounds Dec 31, 1999 11.12 Dec 31, 2000 11.16 Dec 31, 2001 11.1 Dec 31, 2002 10.79 Dec 31, 2003 9.81 Dec 31, 2004 9.58 Dec 31, 2005 9.25 Dec 31, 2006 9.58 Dec 31, 2007 8.87 Dec 31, 2008 9.05 Dec 31, 2009 8.54 Dec 31, 2010 8.65 Dec 31, 2011 7.51 Dec 31, 2012 8.28 Dec 31, 2013 6.6 Dec 31, 2... | Fresh cantaloupe consumption has continued to decrease over the 20 years with minor peaks and slumps in the data on the general trend of decreasing. |
{"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, "g... | Number of physicians Specialty area 2303 Psychiatry 2818 Surgery 2806 Anesthesiologists 2928 Emergency medicine 2684 Radiology 2107 Cardiology 1099 Oncology (cancer) 422 Endocrinology, diabetes, & metabolism 11936 All other specialities 29103 Total specialty | The total number of active physicians in specialities in Florida in 2020 is around 29,000. The highest proportion are in 'other' specialities (around 12,000), with the smallest amount being in 'Endocrinology, Diabetes and metab...' (around 1,000). |
{"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/11495.tsv"}, "mark": "line", "encoding":... | Year Average annual salary in U.S. dollars Dec 31, 1999 21873 Dec 31, 2000 23453 Dec 31, 2001 24359 Dec 31, 2002 24936 Dec 31, 2003 26365 Dec 31, 2004 26425 Dec 31, 2005 27022 Dec 31, 2006 29570 Dec 31, 2007 29743 Dec 31, 2008 31157 Dec 31, 2009 30825 Dec 31, 2010 41450 Dec 31, 2011 44018 Dec 31, 2012 42541 Dec 31, 20... | Overall the chart shows an increase in wages for employees. |
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e... | Number of users in millions Month 1000 Jun '18 800 Sep '17 700 Apr '17 600 Dec '16 500 Jun '16 400 Sep '15 300 Dec '14 200 Mar '14 150 Sep '13 130 Jun '13 100 Feb '13 90 Jan '13 | Twitter saw very little growth in 2013. For three years Twitter had an average growth of 200 million users. Twitter has not had a loss in users from 2013-2018. |
{"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": {... | Response Percentage of respondents Greece 0.59 Philippines 0.58 Tanzania 0.57 Albania 0.55 Iran 0.55 Sri Lanka 0.55 United States of America 0.55 Uganda 0.53 Costa Rica 0.52 Rwanda 0.52 Turkey 0.52 Venezuela 0.52 | It is only one day's data therefore trends can not be identified. Greece has the highest incidence of stress but from the highest to the lowest rates there is not a great deal of difference. |
{"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, "g... | Response Share of households Dec 31, 2006 0.38 Dec 31, 2007 0.48 Dec 31, 2008 0.55 Dec 31, 2009 0.6 Dec 31, 2010 0.65 Dec 31, 2011 0.69 Dec 31, 2012 0.71 Dec 31, 2013 0.75 Dec 31, 2014 0.76 Dec 31, 2015 0.81 Dec 31, 2016 0.82 Dec 31, 2017 0.83 | in less than 10 years, from 2007 to 2018 there has been quite a quick increase in houses with internet access in Hungary. the results seem to be climbing quickly rather than gradually. |
{"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/11530.tsv"}, "mark": "area", "encoding":... | Year Deaths per 1,000 live births Dec 31, 2008 25.1 Dec 31, 2009 24.1 Dec 31, 2010 23.1 Dec 31, 2011 22.2 Dec 31, 2012 21.4 Dec 31, 2013 20.6 Dec 31, 2014 19.9 Dec 31, 2015 19.2 Dec 31, 2016 18.5 Dec 31, 2017 17.9 Dec 31, 2018 17.3 | Egyptian infant mortality steadily decreases from 2009 to 2019. The rate drops from 25 deaths per 1,000 live births in 2009 to around 18 deaths per live births in 2019. |
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{"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": "... | Year Evolution of the GDP Dec 31, 1999 0.039 Dec 31, 2000 0.02 Dec 31, 2001 0.011 Dec 31, 2002 0.008 Dec 31, 2003 0.028 Dec 31, 2004 0.017 Dec 31, 2005 0.024 Dec 31, 2006 0.024 Dec 31, 2007 0.003 Dec 31, 2008 −0.029 Dec 31, 2009 0.019 Dec 31, 2010 0.022 Dec 31, 2011 0.003 Dec 31, 2012 0.006 Dec 31, 2013 0.01 Dec 31, 2... | The Gross domestic Product in France is up and down. |
{"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": "... | Year Evolution of the GDP Dec 31, 1999 0.039 Dec 31, 2000 0.02 Dec 31, 2001 0.011 Dec 31, 2002 0.008 Dec 31, 2003 0.028 Dec 31, 2004 0.017 Dec 31, 2005 0.024 Dec 31, 2006 0.024 Dec 31, 2007 0.003 Dec 31, 2008 −0.029 Dec 31, 2009 0.019 Dec 31, 2010 0.022 Dec 31, 2011 0.003 Dec 31, 2012 0.006 Dec 31, 2013 0.01 Dec 31, 2... | 2009 showed France’s lowest GDP. With a range between in GDP of 0.04 to 0.018. The GDP remained steady between 2000 to 2015 with the exception of 2009. |
{"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... | Load factor in percentage Year 0.62 2019* 0.7 2018 0.78 2017 0.79 2016 0.87 2015 0.71 2014 0.65 2013 0.4 2012 0.27 2011 0.61 2010 | There been an increase over the first 5 years reaches a peak then then starts decreasing thereafter. |
{"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, "tickCol... | Year Number of people in thousands Dec 31, 2008 104950 Dec 31, 2009 106613 Dec 31, 2010 107842 Dec 31, 2011 111239 Dec 31, 2012 114712 Dec 31, 2013 117213 Dec 31, 2014 117865 Dec 31, 2015 118524 Dec 31, 2016 122943 Dec 31, 2017 123935 Dec 31, 2018 127139 | The number of people who used marijuana in their lifetime has increased from 2010 to 2018. |
{"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": fal... | Financial year R&D spending in billion Japanese yen Dec 31, 2006 890.78 Dec 31, 2007 958.88 Dec 31, 2008 904.08 Dec 31, 2009 725.35 Dec 31, 2010 730.34 Dec 31, 2011 779.81 Dec 31, 2012 807.45 Dec 31, 2013 910.52 Dec 31, 2014 1004.55 Dec 31, 2015 1055.6 Dec 31, 2016 1037.5 Dec 31, 2017 1064.2 Dec 31, 2018 1048.8 Dec 31... | There is a 10 year difference between the lowest spending year and highest spending year. The drop in spend between 2008 and 2010 was likely due to the financial crisis. |
{"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", "t... | Year Number of wildland fires Dec 31, 1989 66481 Dec 31, 1994 82234 Dec 31, 1999 92250 Dec 31, 2000 84079 Dec 31, 2001 73457 Dec 31, 2002 63629 Dec 31, 2003 65461 Dec 31, 2004 66753 Dec 31, 2005 96385 Dec 31, 2006 85705 Dec 31, 2007 78979 Dec 31, 2008 78792 Dec 31, 2009 71971 Dec 31, 2010 74126 Dec 31, 2011 67774 Dec ... | From 1990 to 2000 there was a steady increase in wildfires. After a large spike in 2006, and despite some later peaks, the number of wildfires has continued on a downwards trend falling below 1990 levels. |
{"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", "t... | Year Number of wildland fires Dec 31, 1989 66481 Dec 31, 1994 82234 Dec 31, 1999 92250 Dec 31, 2000 84079 Dec 31, 2001 73457 Dec 31, 2002 63629 Dec 31, 2003 65461 Dec 31, 2004 66753 Dec 31, 2005 96385 Dec 31, 2006 85705 Dec 31, 2007 78979 Dec 31, 2008 78792 Dec 31, 2009 71971 Dec 31, 2010 74126 Dec 31, 2011 67774 Dec ... | There has been varying number of Number of wildland fires in the United States from 1990 to 2019 with them highest number in 2006/2007. There was a rapid decline until 2012 and then there has been an increase. |
{"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": fal... | Year Production value in million U.S. dollars Dec 31, 1999 2812.1 Dec 31, 2000 2771.3 Dec 31, 2001 2913.6 Dec 31, 2002 3439.2 Dec 31, 2003 4151.6 Dec 31, 2004 4963.7 Dec 31, 2005 6630.2 Dec 31, 2006 7121.3 Dec 31, 2007 7045.7 Dec 31, 2008 6421.9 Dec 31, 2009 7817.9 | In 2010 the production value was the highest. There was a dip in production value between 2008 and 2010. |
{"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": fal... | Year Production value in million U.S. dollars Dec 31, 1999 2812.1 Dec 31, 2000 2771.3 Dec 31, 2001 2913.6 Dec 31, 2002 3439.2 Dec 31, 2003 4151.6 Dec 31, 2004 4963.7 Dec 31, 2005 6630.2 Dec 31, 2006 7121.3 Dec 31, 2007 7045.7 Dec 31, 2008 6421.9 Dec 31, 2009 7817.9 | From 2000 to 2007, the value increases steeply before very slightly tapering off. At 2007, it begins to decline again, but this is corrected by 2009, where it recovers and increases with the same gradient as previously. |
{"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", "#f... | Year Stillborn children per thousand births Dec 31, 2008 4.02 Dec 31, 2009 3.67 Dec 31, 2010 3.82 Dec 31, 2011 3.99 Dec 31, 2012 3.87 Dec 31, 2013 3.95 Dec 31, 2014 3.72 Dec 31, 2015 3.51 Dec 31, 2016 3.45 Dec 31, 2017 3.8 Dec 31, 2018 3.19 | Generally the number of still births are going down. 2009, 2012 and 2014 had the highest amount of still births. 2019 had the lowest amount of still births recorded. |
{"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... | Year Average wage in U.S. dollars Dec 31, 1999 15904.75 Dec 31, 2000 16811.85 Dec 31, 2001 16747.59 Dec 31, 2002 17039.28 Dec 31, 2003 17139.21 Dec 31, 2004 17244.57 Dec 31, 2005 17217.98 Dec 31, 2006 17283.74 Dec 31, 2007 17150.17 Dec 31, 2008 17268.96 Dec 31, 2009 16183.11 Dec 31, 2010 16328.24 Dec 31, 2011 16050.3 ... | Between 2000 and 2010 the annual wage was consistently around 18,000 dropping to around 16,000 between 2010 and 2015. |
{"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... | Year Average wage in U.S. dollars Dec 31, 1999 15904.75 Dec 31, 2000 16811.85 Dec 31, 2001 16747.59 Dec 31, 2002 17039.28 Dec 31, 2003 17139.21 Dec 31, 2004 17244.57 Dec 31, 2005 17217.98 Dec 31, 2006 17283.74 Dec 31, 2007 17150.17 Dec 31, 2008 17268.96 Dec 31, 2009 16183.11 Dec 31, 2010 16328.24 Dec 31, 2011 16050.3 ... | You can see that the annual wage stays on a pretty steady track, there is a slight dip in 2010 but it then remains on a consistent track. |
{"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": {... | Rushing yards Atlanta Falcons all-time rushing leader 6631 Gerald Riggs 6081 Michael Turner 5986 William Andrews 5981 Warrick Dunn 5336 Jamal Anderson 3972 Devonta Freeman 3859 Michael Vick 3482 Dave Hampton 2662 Haskel Stanback 2340 Tevin Coleman 2263 Lynn Cain 2250 Cannonball Butler 2183 Craig Heyward 2175 T.J. Duck... | Warrick Dunn and William Andrews are equal with 6000, the majority of them have under 3000, Gerard Riggs has had the most. |
{"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", "#f... | Month Number of new cases Mar 03, 2020 1 Mar 04, 2020 0 Mar 05, 2020 0 Mar 06, 2020 0 Mar 07, 2020 1 Mar 08, 2020 0 Mar 09, 2020 3 Mar 10, 2020 2 Mar 11, 2020 0 Mar 12, 2020 9 Mar 13, 2020 2 Mar 14, 2020 0 Mar 15, 2020 2 Mar 16, 2020 4 Mar 17, 2020 5 Mar 18, 2020 10 Mar 19, 2020 15 Mar 20, 2020 6 Mar 21, 2020 15 Mar 2... | the number of cases was low and steady, until september 2020, at which point there was a large spike in cases which peaked in mid october. there was then a decline in cases. |
{"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", "t... | Year Real GDP in billion U.S. dollars Dec 31, 1999 56.11 Dec 31, 2000 58.88 Dec 31, 2001 56.81 Dec 31, 2002 57.96 Dec 31, 2003 60.68 Dec 31, 2004 59.97 Dec 31, 2005 61.5 Dec 31, 2006 61.24 Dec 31, 2007 58.66 Dec 31, 2008 60.4 Dec 31, 2009 60.02 Dec 31, 2010 62.02 Dec 31, 2011 61.98 Dec 31, 2012 59.16 Dec 31, 2013 63.5... | Overall the GDP of Delaware has increased from around $55 billion in the year 2000 to over $60 billion in 2015. Generally the increase in GDP saw some small rises and dips over the 15 year period. The largest dip was in 2012 followed by the steepest rise in 2013-2015. |
{"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", "t... | Year Real GDP in billion U.S. dollars Dec 31, 1999 56.11 Dec 31, 2000 58.88 Dec 31, 2001 56.81 Dec 31, 2002 57.96 Dec 31, 2003 60.68 Dec 31, 2004 59.97 Dec 31, 2005 61.5 Dec 31, 2006 61.24 Dec 31, 2007 58.66 Dec 31, 2008 60.4 Dec 31, 2009 60.02 Dec 31, 2010 62.02 Dec 31, 2011 61.98 Dec 31, 2012 59.16 Dec 31, 2013 63.5... | Between 2000 and 2019, Delaware's GDP increased. This increase was not a steady one, with dips and increases occurring alone the way. The largest peak/growth in Delaware's GDP took place in 2014. Between 2016 and 2019, there was a relative plateau in their GDP. |
{"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"... | Year Inhabitants in millions 2025* 106.24 2024* 104.56 2023* 102.92 2022* 101.3 2021* 99.7 2020* 98.13 2019* 96.59 2018* 94.14 2017* 92.66 2016 91.2 2015 89.76 | The population is growing each year at a steady rate. There has been an increase from approximately 90 million in 2015 to 110 million in 2025. |
{"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", "#f... | Company (Country of origin) Retail revenue in billion U.S. dollars Amazon.com (United States) 79.27 JD.com Inc. (China) 26.99 Apple Inc. (United States) 24.37 Walmart Stores, Inc. (United States) 13.7 Suning Commerce Group Co. Ltd. (China) 8.1 Otto GmbH & Co KG (Germany) 7.18 Tesco PLC (UK) 6.54 Vipshop Holdings (Chin... | In 2015 and in relation to E commerce the USA produced over 3 times more than its nearest rival. The top 4 countries produced over 3 times as much as the total of all the other countries. |
{"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}, "g... | Personnel per 10,000 population Country 202.6 Monaco 181.2 Norway 172.8 Switzerland 156.8 Iceland 147.2 Finland 142.9 Ireland 132 Germany 126.6 Australia 123.5 Luxembourg 120.7 Uzbekistan | Monaco was the only country to have over 200 personal per every 10,000 population in the period of 2009-2018. Ireland and Finland score similarly and so did Australia and Luxemburg. |
{"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": "... | Year Employment in millions 2020* 2.33 2019* 2.3 2018 2.26 2017 2.2 2016 2.13 2015 2.06 2014 1.99 2013 1.94 2012 1.88 2011 1.87 2010 1.88 | A bar chart about employment in Ireland from 2010-2020 in millions. Axis Y shows the range of employment from 0-2 (million). Axis X shoes the year from 2010-2020. |
{"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", "#f... | Year FIFA ranking position Dec 31, 2008 81 Dec 31, 2009 58 Dec 31, 2010 54 Dec 31, 2011 56 Dec 31, 2012 80 Dec 31, 2013 75 Dec 31, 2014 54 Dec 31, 2015 77 Dec 31, 2016 54 Dec 31, 2017 54 Dec 31, 2018 56 Dec 31, 2019 48 | between 2009 and 2020 there are many peaks and troughs in the trend regarding the jamaican men's soccer team's FIFA ranking. the prominent peaks include 2009, 2013 and 2016, and the prominent lowest points include 2011, 2015 and 2020. |
{"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/11603.tsv"}, "mark": "bar", "encoding": ... | Year Budget balance in relation to GDP 2025* 0.0005 2024* −0.0005 2023* −0.0025 2022* −0.0062 2021* −0.0142 2020* −0.0421 2019* 0.0147 2018 0.0132 2017 0.0116 2016 0.0024 2015 0.0056 | something horrible happened in 2020 that destroyed the budget and it slowly recovered but is still not where it used to be. |
{"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", "t... | Year Net income in million U.S. dollars Dec 31, 2008 49.44 Dec 31, 2009 21.21 Dec 31, 2010 19.23 Dec 31, 2011 36.09 Dec 31, 2012 36.7 Dec 31, 2013 47.92 Dec 31, 2014 64.49 Dec 31, 2015 64.07 Dec 31, 2016 63.66 Dec 31, 2017 71.21 | There is generally a positive correlation between recent history and income. |
{"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": {... | Year Birth rate per thousand population Dec 31, 2007 41.87 Dec 31, 2008 41.62 Dec 31, 2009 41.34 Dec 31, 2010 41.03 Dec 31, 2011 40.67 Dec 31, 2012 40.27 Dec 31, 2013 39.83 Dec 31, 2014 39.36 Dec 31, 2015 38.87 Dec 31, 2016 38.38 Dec 31, 2017 37.91 | The birth rate in Nigeria has been decreasing since the start of the information and seems to be decreasing at a faster ratee as time goes by. |
{"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": {... | Year Birth rate per thousand population Dec 31, 2007 41.87 Dec 31, 2008 41.62 Dec 31, 2009 41.34 Dec 31, 2010 41.03 Dec 31, 2011 40.67 Dec 31, 2012 40.27 Dec 31, 2013 39.83 Dec 31, 2014 39.36 Dec 31, 2015 38.87 Dec 31, 2016 38.38 Dec 31, 2017 37.91 | The birth rate has been going down since the start of the chart. |
{"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", "#f... | Year Ratio Dec 31, 2004 1.07 Dec 31, 2005 1.08 Dec 31, 2006 1.06 Dec 31, 2007 1 Dec 31, 2008 0.95 Dec 31, 2009 0.94 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.91 Dec 31, 2013 0.89 Dec 31, 2014 0.88 Dec 31, 2015 0.87 | As the years pass by the number of administrative staff in comparison to lawyers in law firms proportionally decreases. |
{"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", "#f... | Year Ratio Dec 31, 2004 1.07 Dec 31, 2005 1.08 Dec 31, 2006 1.06 Dec 31, 2007 1 Dec 31, 2008 0.95 Dec 31, 2009 0.94 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.91 Dec 31, 2013 0.89 Dec 31, 2014 0.88 Dec 31, 2015 0.87 | A slight decline from 2006 to 2014 but not dramatic. |
{"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", "#f... | Year Direct investments in billion U.S. dollars Dec 31, 1999 10.86 Dec 31, 2000 13.21 Dec 31, 2001 15.16 Dec 31, 2002 16.89 Dec 31, 2003 18.96 Dec 31, 2004 21.12 Dec 31, 2005 24.21 Dec 31, 2006 28.45 Dec 31, 2007 31.29 Dec 31, 2008 33.78 Dec 31, 2009 34.43 Dec 31, 2010 35.95 Dec 31, 2011 40.31 Dec 31, 2012 45.4 Dec 31... | there has been a large and rapid increase in the Direct investment position of the United States in the Middle East from 2000 to 2019. There was a slight decrease around 2015. After that, it began to increase once more. |
{"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", "#f... | Year Direct investments in billion U.S. dollars Dec 31, 1999 10.86 Dec 31, 2000 13.21 Dec 31, 2001 15.16 Dec 31, 2002 16.89 Dec 31, 2003 18.96 Dec 31, 2004 21.12 Dec 31, 2005 24.21 Dec 31, 2006 28.45 Dec 31, 2007 31.29 Dec 31, 2008 33.78 Dec 31, 2009 34.43 Dec 31, 2010 35.95 Dec 31, 2011 40.31 Dec 31, 2012 45.4 Dec 31... | There has generally been steady growth in investment over the last nine years. There was a dip in investment between 2014 to 2017. Following this dip invest shot up at a much faster rate than previously. |
{"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": fal... | Twitter followers in millions World leader 81.1 Donald J. Trump, United States @RealDonaldTrump 57.9 Narendra Modi, India @NarendraModi (personal account) 51.2 Pope Francis, Vatican @Pontifex* 35.9 Narendra Modi, India @PMOIndia (institutional account) 30.2 President Trump, United States @POTUS 22.8 The White Hous... | Donald J. Trump has the most Twitter followers with over 80 million followers. Narenda Modi has the second most Twitter followers, with almost 60 million. Pope Francis has the third most followers with approximately 50 million. Queen Rania has the fewest followers, with around 10 million. Imran Khan, Joko Widodo, and R... |
{"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", "t... | Month Number of deaths January 177 February 162 March 212 April 247 May 390 June 543 July 667 August 463 September 305 October 241 Novermeber 154 December 149 | Most deaths from drowning are in July. Fewest deaths from drowning occur during November and December. |
{"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, "tickCol... | Year Unemployment rate Dec 31, 1998 0.0758 Dec 31, 1999 0.0683 Dec 31, 2000 0.0722 Dec 31, 2001 0.0767 Dec 31, 2002 0.0757 Dec 31, 2003 0.0719 Dec 31, 2004 0.0676 Dec 31, 2005 0.0632 Dec 31, 2006 0.0604 Dec 31, 2007 0.0614 Dec 31, 2008 0.0834 Dec 31, 2009 0.0806 Dec 31, 2010 0.0751 Dec 31, 2011 0.0729 Dec 31, 2012 0.0... | unemployment rates have fluctuated between 1999 and 2020, the lowest in 2020 and the highest in 2009. |
{"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, "tickCol... | Year Unemployment rate Dec 31, 1998 0.0758 Dec 31, 1999 0.0683 Dec 31, 2000 0.0722 Dec 31, 2001 0.0767 Dec 31, 2002 0.0757 Dec 31, 2003 0.0719 Dec 31, 2004 0.0676 Dec 31, 2005 0.0632 Dec 31, 2006 0.0604 Dec 31, 2007 0.0614 Dec 31, 2008 0.0834 Dec 31, 2009 0.0806 Dec 31, 2010 0.0751 Dec 31, 2011 0.0729 Dec 31, 2012 0.0... | Unemployment rate has dipped to its lowest recorded since 2000. The highest recorded was in 2009. The x-axis measures year in 5 year increments. |
{"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, "tickCol... | Year Unemployment rate Dec 31, 1998 0.0758 Dec 31, 1999 0.0683 Dec 31, 2000 0.0722 Dec 31, 2001 0.0767 Dec 31, 2002 0.0757 Dec 31, 2003 0.0719 Dec 31, 2004 0.0676 Dec 31, 2005 0.0632 Dec 31, 2006 0.0604 Dec 31, 2007 0.0614 Dec 31, 2008 0.0834 Dec 31, 2009 0.0806 Dec 31, 2010 0.0751 Dec 31, 2011 0.0729 Dec 31, 2012 0.0... | The unemployment rate has defined peaks and troughs. 2020 has the lowest rate of unemployment with 2003 being the previous low. Unemployment was at it's highest in 2009. Unemployment rates in Canada appear to stay within a margin of 0.08 - 0.06. |
{"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"... | Receiving yards New York Giants players 9497 Amani Toomer 5476 Odell Beckham 5434 Frank Gifford 5183 Tiki Barber 4993 Joe Morrison 4845 Homer Jones 4797 Kyle Rote 4710 Chris Calloway 4676 Hakeem Nicks 4630 Ike Hilliard 4549 Victor Cruz 4376 Bob Tucker 4315 Del Shofner 4253 Aaron Thomas 4228 Jeremy Shockey 3941 Lionel ... | From 1925 to 2020 the New York Giants all time receivers trend in yards, is around 5000 per 20 receiver's. Only Armani Toomer, broke the 5000 mark and managed nearly 10000. |
{"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": fal... | Year Per capita real GDP in chained 2012 U.S. dollars Dec 31, 1999 46491 Dec 31, 2000 45695 Dec 31, 2001 46718 Dec 31, 2002 48626 Dec 31, 2003 50981 Dec 31, 2004 53039 Dec 31, 2005 53754 Dec 31, 2006 54110 Dec 31, 2007 53812 Dec 31, 2008 51306 Dec 31, 2009 52059 Dec 31, 2010 52257 Dec 31, 2011 52755 Dec 31, 2012 52745... | There has been a consistent in crease in gdp since 2000 with the exception of approx 2008 where there was a small drop and a very minor one approx. 2014. |
{"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, "tickCol... | Receiving yards Indianapolis Colts players 14580 Marvin Harrison 14345 Reggie Wayne 9275 Raymond Berry 8849 T.Y. Hilton 6039 Lenny Moore 5859 Jimmy Orr 5818 Bill Brooks 5126 John Mackey 4887 Dallas Clark 4770 Roger Carr 3684 Jim Mutscheller 3547 Glenn Doughty 3511 Sean Dawkins 3391 Marcus Pollard 3304 Jessie Hester 31... | Marvin Harrison and Reggie Wayne are the all-time receiving leaders. |
{"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": {... | Year Live births per thousand people Dec 31, 1799 37.98 Dec 31, 1804 37.91 Dec 31, 1809 37.74 Dec 31, 1814 37.59 Dec 31, 1819 39.26 Dec 31, 1824 39.42 Dec 31, 1829 36.94 Dec 31, 1834 36.04 Dec 31, 1839 36.4 Dec 31, 1844 36.94 Dec 31, 1849 37.24 Dec 31, 1854 34.2 Dec 31, 1859 34.72 Dec 31, 1864 37.12 Dec 31, 1869 38.14... | The birthrate in Germany has decreased drmatically over the past 200 years, with only slight blips upward. In 1800, there were approximately 38 births per 100,000; as of 2000, there were 10. |
{"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": {... | inflation-adjusted RevPAR (in 2005 U.S. dollars) Year 71.68 2014** 68.74 2013** 66.15 2012 63.27 2011 60.36 2010 58.19 2009 69.58 2008 73.71 2007 71.45 2006 68.48 2005 65.15 2004 61.96 2003 63.11 2002 | Revenue has on the whole been rising but suffered a dramatic decrease in 2007/2008. |
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{"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": fal... | Year Percent change Dec 31, 2000 0.0332 Dec 31, 2001 0.0161 Dec 31, 2002 0.0103 Dec 31, 2003 0.0143 Dec 31, 2004 0.033 Dec 31, 2005 0.0497 Dec 31, 2006 0.0452 Dec 31, 2007 0.0124 Dec 31, 2008 0.0015 Dec 31, 2009 0.0003 Dec 31, 2010 0.0006 Dec 31, 2011 0.0008 Dec 31, 2012 0.0005 Dec 31, 2013 0.0003 Dec 31, 2014 0.0006 ... | The highest percent change of 0.05 occurred in 2006. There was a very low rate of change between 2009 and 2015. After 2015 the rate began to rise again. The rises and falls are all relatively rapid. |
{"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": fal... | Year Percent change Dec 31, 2000 0.0332 Dec 31, 2001 0.0161 Dec 31, 2002 0.0103 Dec 31, 2003 0.0143 Dec 31, 2004 0.033 Dec 31, 2005 0.0497 Dec 31, 2006 0.0452 Dec 31, 2007 0.0124 Dec 31, 2008 0.0015 Dec 31, 2009 0.0003 Dec 31, 2010 0.0006 Dec 31, 2011 0.0008 Dec 31, 2012 0.0005 Dec 31, 2013 0.0003 Dec 31, 2014 0.0006 ... | There has been a very small change in total return of treasury bills between the year 2010 and 2015. The highest change occurred in 2006/2007. |
{"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/11710.tsv"}, "mark": "bar", "encoding": ... | Number of affected people Country 4000000 Brazil (January 11, 1966) 2500000 India (July 1986) 2100000 China (May 2010) 1100000 India (September 12, 1995) 700000 Peru (January 1983) 300000 Afghanistan (January 13, 2006) 265865 Nepal (July 15, 2002) 237600 China (May 4, 2016) 229548 Indonesia (March 31, 2003) 217988 Phi... | The country with the largest number of people affected by mudslide incidents is Brazil, at 4million. China and India are the only countries shown on the graph to have had 2 mudslide incidents. Half of the mudslides shown affected less than 300,000 people. |
{"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/11710.tsv"}, "mark": "bar", "encoding": ... | Number of affected people Country 4000000 Brazil (January 11, 1966) 2500000 India (July 1986) 2100000 China (May 2010) 1100000 India (September 12, 1995) 700000 Peru (January 1983) 300000 Afghanistan (January 13, 2006) 265865 Nepal (July 15, 2002) 237600 China (May 4, 2016) 229548 Indonesia (March 31, 2003) 217988 Phi... | Brazil had the largest number of effected peopleThere are 10 countries been effected by majore mudslides. |
{"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/11710.tsv"}, "mark": "bar", "encoding": ... | Number of affected people Country 4000000 Brazil (January 11, 1966) 2500000 India (July 1986) 2100000 China (May 2010) 1100000 India (September 12, 1995) 700000 Peru (January 1983) 300000 Afghanistan (January 13, 2006) 265865 Nepal (July 15, 2002) 237600 China (May 4, 2016) 229548 Indonesia (March 31, 2003) 217988 Phi... | the graph shows that in areas of major population that there has ben an increase in the number of effected people. |
{"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": "... | Mortality rate per 100,000 population Country 202.6 Slovakia 174.7 USA: Black 154.2 Denmark 153.9 Spain 151.4 China 136.7 Japan 134.7 Australia 126.8 USA: White 100 Colombia 99.3 Costa Rica | Slovakian men have the highest mortality rate for cancer, accounting for 200 deaths in 100,000. In the USA, black men are significantly at risk than white men. Colombia and Costa Rica have the lowest mortality rates. |
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{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e... | Country Mortality rate Nunavut 21.4 Manitoba 5.9 New Brunswick 5.7 Newfoundland and Labrador 5.5 Saskatchewan 5.5 Quebec 5 Ontario 4.9 Nova Scotia 4.6 Northwest Territories 4.4 Alberta 4.3 British Columbia 3.8 Prince Edward Island 3.5 Yukon 2.2 Canada 4.8 | The bar chart showing rates of infant mortality in 2012 by Provence/Territory. Yukon being the lowest recorded and Nunuvat being the highest by a large margin. |
{"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": fal... | Year Population in thousands Dec 31, 1817 852 Dec 31, 1818 853 Dec 31, 1819 855 Dec 31, 1820 858 Dec 31, 1821 862 Dec 31, 1822 868 Dec 31, 1823 873 Dec 31, 1824 878 Dec 31, 1825 884 Dec 31, 1826 889 Dec 31, 1827 895 Dec 31, 1828 900 Dec 31, 1829 906 Dec 31, 1830 911 Dec 31, 1831 917 Dec 31, 1832 923 Dec 31, 1833 928 D... | In 1818 the population of Bosnia and Herzegovina was around 900000, there is an upward trend which increases more quickly, reaching a peak of around 4500000 in around 1990. By 2020 population had fallen to around 3300000. |
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{"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/11747.tsv"}, "mark": "bar", "encoding": ... | Export value in million SEK Country 162524 Norway 159149 Germany 120872 United States 108865 Finland 105248 Denmark 81959 United Kingdom 79623 Netherlands 71593 China 61466 France 60830 Belgium 49306 Poland 41598 Italy 30280 Spain 24973 Japan 21903 Russia 17641 Australia 17240 Switzerland 14819 Austria 14055 Korea 131... | Norway is the main export partner of Sweden closely followed by Germany. Turkey, Korea and Austria had very low export values. A countries proximity to Sweden does not seem to directly affect its export value. |
{"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", "t... | National debt in relation to GDP Year 0.3533 2025* 0.3695 2024* 0.4074 2023* 0.475 2022* 0.5675 2021* 0.7174 2020* 0.6543 2019 0.4819 2018 0.6521 2017 1.1425 2016 0.5937 2015 | the national debt in relation to GDP was highest in 2016. It was lowest in 2018. Bar chart also has listings for 2020-2025, showing projections for national debt in the future. It is predicted that by 2025, the national debt will be the lowest in 10 years. |
{"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", "t... | Year Per capita consumption in pounds Dec 31, 1999 5.9 Dec 31, 2000 5.6 Dec 31, 2001 4.8 Dec 31, 2002 5.3 Dec 31, 2003 6 Dec 31, 2004 6.5 Dec 31, 2005 6.4 Dec 31, 2006 6 Dec 31, 2007 5.6 Dec 31, 2008 5.6 Dec 31, 2009 5.5 Dec 31, 2010 5.5 Dec 31, 2011 5.2 Dec 31, 2012 5.3 Dec 31, 2013 5.2 Dec 31, 2014 5.3 | The consumption of cocoa beans pere capitar in the US decreased between the years 2000 and 2002. Between the years 2002 and 2005 there was a sharp increase of 1.5lbs per capitar consumed. This pattern changed after 2005 and saw a gradual decline in consumption year on year until 2015 with a fall of approximately 1lb ... |
{"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", "t... | Budget balance in relation to GDP Year −0.004 2025* −0.0163 2024* −0.0287 2023* −0.0404 2022* −0.0597 2021* −0.1056 2020* −0.0445 2019 −0.0587 2018 −0.0924 2017 −0.172 2016 −0.1584 2015 | The budget balance on the whole will reduce between 2015 and 2025. |
{"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": "... | Year Number of residents per square mile Dec 31, 1959 252.6 Dec 31, 1969 263.7 Dec 31, 1979 265.2 Dec 31, 1989 265.6 Dec 31, 1999 274.5 Dec 31, 2009 283.9 Dec 31, 2011 285.3 Dec 31, 2012 285.5 Dec 31, 2013 285.8 Dec 31, 2014 286.1 Dec 31, 2015 285.7 Dec 31, 2016 286.2 Dec 31, 2017 286.2 | The population density in Pennsylvania has experienced a steady growth from 1960 to 2020, increasing from 250 million to just below 300 million. |
{"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": "... | Year Mortage originations in billion U.S. dollars Dec 31, 1999 1139 Dec 31, 2004 2908 Dec 31, 2009 1698 Dec 31, 2011 2044 Dec 31, 2012 1845 Dec 31, 2013 1261 Dec 31, 2014 1679 Dec 31, 2015 2051 Dec 31, 2016 1710 Dec 31, 2017 1250 | Between 2000 and 2010 the mortgage organisation rises high and then falls back down again. |
{"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": "... | Year Mortage originations in billion U.S. dollars Dec 31, 1999 1139 Dec 31, 2004 2908 Dec 31, 2009 1698 Dec 31, 2011 2044 Dec 31, 2012 1845 Dec 31, 2013 1261 Dec 31, 2014 1679 Dec 31, 2015 2051 Dec 31, 2016 1710 Dec 31, 2017 1250 | The visualisation shows mortgage originations to fluctuate from year to year. The peak in mortgate originations from the range shown in the visualisation was in 2005. |
{"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/11796.tsv"}, "mark": "bar", "encoding": ... | Period of drought Economic loss in billion U.S. dollars June to December 2012(South-West regions, Mid-West) 20 January to November 2011(Texas, Oklahoma, New Mexico, Arizona, Kansas, Louisiana) 8 July to August 2002(Midwest) 3.3 January to December 2014(San Joaquin Valley in California) 2.2 January to September 2015(Ca... | The economic loss due to droughts in the US was lowest in Oct 2007-June 2009 in California and July 1991 in Maryland, the highest loss was June to December 2012 in the south, at 20 billion dollars. This was the highest loss by a great extent. |
{"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", "#f... | Population in thousands state of Germany 17947 North Rhine-Westphalia 13125 Bavaria 11100 Baden-Württemberg 7994 Lower Saxony 6288 Hesse 4094 Rhineland-Palatinate 4072 Saxony 3669 Berlin 2904 Schleswig-Holstein 2522 Brandenburg 2195 Saxony-Anhalt 2133 Thuringia 1847 Hamburg 1608 Mecklenburg-Western Pomerania 987 Saarl... | The largest populated area of Germany is the North Rhine- West Phalia with Bavaria and Baden Wurtemberg being second and third most heavily populated. Least populated is Bremen. |
{"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... | Year Number of enterprises 2017 251 2016 244 2015 238 2014 242 2013* 234 2012 241 2011 241 2010 228 2009 217 2008 214 | Overall, the number of entreprises increased between 2008 and 2017. The increase in the number of enterprises was not constant, with some years seeing small decreases. More than 200 entreprises were identified every year since 2008, with only 2017 having over 250 entreprises identified. |
{"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... | Year Number of enterprises 2017 251 2016 244 2015 238 2014 242 2013* 234 2012 241 2011 241 2010 228 2009 217 2008 214 | The number of enterprises in sector has steadily increased year on year. |
{"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": fal... | Year Number of participants Dec 31, 2000 253931 Dec 31, 2001 288104 Dec 31, 2002 301560 Dec 31, 2003 351852 Dec 31, 2004 381568 Dec 31, 2005 426022 Dec 31, 2006 480627 Dec 31, 2007 524230 Dec 31, 2008 568021 Dec 31, 2009 624593 Dec 31, 2010 684730 Dec 31, 2011 722205 Dec 31, 2012 746859 Dec 31, 2013 772772 Dec 31, 201... | The graph shows an increase from 250,000 lacrosse players in 2001, increasing year on year with a slight plateau between 2017 and 2018 showing there were approximately 810,000 lacrosse players in those years. |
{"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}, "g... | Year Youth unemployment rate Dec 31, 2010 0.177 Dec 31, 2011 0.152 Dec 31, 2012 0.155 Dec 31, 2013 0.154 Dec 31, 2014 0.169 Dec 31, 2015 0.157 Dec 31, 2016 0.153 Dec 31, 2017 0.158 Dec 31, 2018 0.161 Dec 31, 2019 0.165 | Unemployments rates have on the whole dropped between 2011 and 2020. There was a slight peak in 2015, however not to 2011 levels. Unemployment has been rising since 2017 yet not back to 2011 levels. |
{"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, "g... | Volume in thousand tonnes Year 110965 2029* 110616 2028* 110262 2027* 109921 2026* 109405 2025* 109167 2024* 108967 2023* 108663 2022* 108872 2021* 109298 2020* 112146 2019* 112630 2018** 112775 2017 111906 2016 | The volume of wheat consumed was constant during the period 2016-20. In 2020 the volume consumed dropped by around 10000 tonnes and there will be only a very slight increase during the 20s decade by about 5000 tonnes over the period. |
{"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": "... | Year Net profit margin Dec 31, 2001 0.06 Dec 31, 2002 0.11 Dec 31, 2003 0.15 Dec 31, 2004 0.2 Dec 31, 2005 0.27 Dec 31, 2006 0.26 Dec 31, 2007 0.16 Dec 31, 2008 0.15 Dec 31, 2009 0.25 Dec 31, 2010 0.24 Dec 31, 2011 0.13 Dec 31, 2012 0.04 Dec 31, 2013 0.07 Dec 31, 2014 −0.07 Dec 31, 2015 0.06 Dec 31, 2016 0.1 Dec 31, 2... | From 2010-2015 there was a relatively sharp decrease in net profit margin from around 0.25 to -0.1. Roughly every 5 years the top mining companies have an increase in net profit. |
{"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/11847.tsv"}, "mark": "bar", "encoding": ... | Relationship to child Number of victims Mother 263370 Father 143703 Mother and father 142329 Mother and Nonparent(s) 47343 Relative 31456 Unmarried partner of parent 18787 Other 18546 Father and Nonparent(s) 8556 More than one nonparental perpetrator 7711 Mother, Father, and Nonparent 7229 Friend and neighbor 5547 Chi... | The chart shows that the majority of cases it is one or both patents that are the abuser(s) with thd higher rate being the mother. |
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e... | Year Number of agents Dec 31, 1997 263 Dec 31, 1998 249 Dec 31, 1999 380 Dec 31, 2000 340 Dec 31, 2001 320 Dec 31, 2002 338 Dec 31, 2003 328 Dec 31, 2004 492 Dec 31, 2005 454 Dec 31, 2006 398 Dec 31, 2007 385 Dec 31, 2008 420 Dec 31, 2009 365 Dec 31, 2010 375 Dec 31, 2011 471 Dec 31, 2012 451 Dec 31, 2013 315 Dec 31, ... | x-axis goes up by increments of 5 years. y-axis goes up by increments of 100. The most immigrants deaths were in 2005. The least deaths were in 1999 & 2015. |
{"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": "... | Year Export value in thousand GBP Dec 31, 2000 549556 Dec 31, 2001 558718 Dec 31, 2002 644367 Dec 31, 2003 731987 Dec 31, 2004 882588 Dec 31, 2005 1204142 Dec 31, 2006 1491591 Dec 31, 2007 1794928 Dec 31, 2008 1976496 Dec 31, 2009 2915007 Dec 31, 2010 3931827 Dec 31, 2011 4892251 Dec 31, 2012 5414018 Dec 31, 2013 6088... | Overall the price has increased exponentially, with a particularly sharp price increase in 2015. |
{"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": "... | Year Export value in thousand GBP Dec 31, 2000 549556 Dec 31, 2001 558718 Dec 31, 2002 644367 Dec 31, 2003 731987 Dec 31, 2004 882588 Dec 31, 2005 1204142 Dec 31, 2006 1491591 Dec 31, 2007 1794928 Dec 31, 2008 1976496 Dec 31, 2009 2915007 Dec 31, 2010 3931827 Dec 31, 2011 4892251 Dec 31, 2012 5414018 Dec 31, 2013 6088... | I can observe on this line graph that there was a steep incline in the amount in GBP over 5 years but the last few years shown it has been a little up and down. |
{"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/11859.tsv"}, "mark": "line", "encoding":... | Year Number of inhabitants (in millions) Dec 31, 2015 5.21 Dec 31, 2016 5.27 Dec 31, 2017 5.33 Dec 31, 2018 5.38 Dec 31, 2019 5.44 Dec 31, 2020 5.48 Dec 31, 2021 5.53 Dec 31, 2022 5.58 Dec 31, 2023 5.63 Dec 31, 2024 5.68 Dec 31, 2025 5.73 Dec 31, 2026 5.77 | An entry figure in 2016 or above 5 million inhabitants in Norway. A steady and consistent rise over 11 years. Approximately an extra 700,000+/- inhabitants over that time. |
{"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}, "g... | Consumption per capita in kilograms Year 5.21 2025* 5.36 2019 5.38 2018 5.49 2017 6.15 2016 5.91 2015 5.91 2014 6.02 2013 6.19 2012 6.83 2011 5.85 2010 5.71 2009 5.92 2008 6.55 2007 6.45 2006 | The data shows that the consumption of pork has been fairly stable over the years, however, it is beginning to decline. By 2025 there will be the lowest consumption rate. Whilst there is a decline it is slow. |
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