| license: mit |
Second-to-last version of this graph.
Next iteration will include:
Site: danaoira.com | Twitter: @danaoira
Built with blockbuilder.org
forked from danaoira's block: nations-colored
forked from danaoira's block: nations-scatterplot-v4
| <!DOCTYPE html> | |
| <head> | |
| <script src="https://d3js.org/d3.v4.min.js"></script> | |
| <style> | |
| body { | |
| margin: 0; | |
| position: fixed; | |
| top: 0; | |
| right: 0; | |
| bottom: 0; | |
| left: 0; | |
| } | |
| .title { | |
| font-family: "Georgia"; | |
| font-size: 32px; | |
| fill: #000; | |
| } | |
| .axis { | |
| font-family: "Arial"; | |
| font-size: 11px; | |
| fill: #808080; | |
| } | |
| .circle { | |
| fill-opacity: 0.75; | |
| stroke: #c0c0c0; | |
| } | |
| .domain { | |
| stroke: #c0c0c0; | |
| } | |
| .tick > line { | |
| stroke: #c0c0c0; | |
| } | |
| .year { | |
| font-family: "Georgia"; | |
| font-size: 100px; | |
| fill: #d0d0d0; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <script> | |
| /* Input: nations.json | |
| Output: x-axis = income | |
| y-axis = lifeExpectancy | |
| radius = population | |
| color = region | |
| Bonus: use the raw data from class 3 and create the final dataset yourself. Add axes and labels. | |
| For extra practice: visualize the barley yield data. */ | |
| var scales = {}; | |
| var year = 1950; | |
| var filterByYear = function(input, year) { | |
| var result = []; | |
| input.forEach(function(i) { | |
| var country = { | |
| year: null, | |
| country: null, | |
| region: null, | |
| income: null, | |
| lifeExpectancy: null, | |
| population: null | |
| } | |
| var getIncome = getAttrByYear(i, country, year, "income"); | |
| var getLifeExpectancy = getAttrByYear(i, country, year, "lifeExpectancy"); | |
| var getPopulation = getAttrByYear(i, country, year, "population"); | |
| country.country = i.name; | |
| country.region = i.region; | |
| country.year = year; | |
| result.push(country); | |
| }); | |
| return result; | |
| }; | |
| var getAttrByYear = function(input, output, year, attr) { | |
| input[attr].forEach(function(d) { | |
| if (d[0] === year) { | |
| return output[attr] = d[1]; | |
| } | |
| }); | |
| }; | |
| var getMinMax = function(input, attr) { | |
| var min = 99999999; | |
| var max = 0; | |
| input.forEach(function(d) { | |
| d[attr].forEach(function(i) { | |
| if (i[1] < min) { | |
| min = i[1]; | |
| } | |
| if (i[1] > max) { | |
| max = i[1]; | |
| } | |
| }); | |
| }); | |
| return [min, max]; | |
| }; | |
| var update = function(data, svg, scales, year) { | |
| var newData = filterByYear(data, year); | |
| var selection = svg.selectAll("circle") | |
| .data(newData); | |
| selection.enter() | |
| .append("circle") | |
| .merge(selection) | |
| .transition() | |
| .attr("cx", function(d) { | |
| if (d.income != null) { | |
| return scales.xSca(d.income) | |
| }}) | |
| .attr("cy", function(d) { | |
| if (d.lifeExpectancy != null) { | |
| return scales.ySca(d.lifeExpectancy) | |
| } | |
| }) | |
| .attr("r", function(d) { | |
| if ((d.income && d.lifeExpectancy && d.population) != null) { | |
| return scales.rSca(d.population) | |
| } | |
| }) | |
| .attr("id", function(d) { return d.country }) | |
| .attr("fill", function(d) { return scales.cSca(d.region) }) | |
| .attr("class", "circle"); | |
| d3.select(".year").text(year); | |
| selection.exit().remove(); | |
| }; | |
| d3.json("nations.json", function(error, data) { | |
| if (error) return error; | |
| console.log(data); // original data | |
| // data | |
| // var year = 1950; | |
| newData = filterByYear(data, year); | |
| console.log(newData); // filtered data | |
| // vars ----------------------------------------------------------- | |
| var margin = { top: 20, right: 20, bottom: 20, left: 20 }; | |
| var width = 960 - margin.left - margin.right; | |
| var height = 500 - margin.top - margin.bottom; | |
| // min-max | |
| var xExtent = getMinMax(data, "income"); | |
| var yExtent = getMinMax(data, "lifeExpectancy"); | |
| var rExtent = getMinMax(data, "population"); | |
| var colorDomain = d3.nest().key(function(d) { return d.region }).object(newData); | |
| console.log("xExtent = ", xExtent, "yExtent = ", yExtent, "rExtent = ", rExtent); | |
| // scales | |
| var xScale = d3.scaleLog() | |
| .domain([100, xExtent[1]]) | |
| .range([0, width + margin.left]); | |
| var yScale = d3.scaleLinear() | |
| .domain([0, (yExtent[1] + 5)]) | |
| .range([height, 0]); | |
| var rScale = d3.scaleSqrt() | |
| .domain(rExtent) | |
| .range([0,90]); | |
| var colorScale = d3.scaleOrdinal() | |
| .domain(colorDomain) | |
| .range(["Pink", "LightCyan", "Gainsboro", "Thistle", "MintCream", "LemonChiffon"]); | |
| scales = { | |
| xExt : xExtent, | |
| yExt : yExtent, | |
| rExt : rExtent, | |
| color: colorDomain, | |
| xSca : xScale, | |
| ySca : yScale, | |
| rSca : rScale, | |
| cSca : colorScale | |
| }; | |
| // axes | |
| var x = d3.axisBottom() | |
| .scale(xScale) | |
| .ticks(10, ".0f"); | |
| var y = d3.axisLeft() | |
| .scale(yScale); | |
| // graph ---------------------------------------------------------- | |
| // svg | |
| var svg = d3.select("body") | |
| .append("svg") | |
| .attr("width", width + margin.left + margin.right) | |
| .attr("height", height + margin.top + margin.bottom) | |
| .append("g") | |
| .attr("transform", "translate(" + margin.left + ", " + margin.top + ")"); | |
| // axes | |
| var xAxis = svg.append("g") | |
| .call(x) | |
| .attr("transform", "translate(0, " + height + ")"); | |
| var yAxis = svg.append("g") | |
| .call(y); | |
| // labels | |
| var xLabel = xAxis.append("text") | |
| .text("income per capita, inflation adjusted (dollars)") | |
| .attr("class", "axis") | |
| .attr("transform", "translate(" + (width + margin.left) + ", " + 0.5 * -margin.bottom + ")") | |
| .attr("text-anchor", "end"); | |
| var yLabel = yAxis.append("text") | |
| .text("life expectancy (years)") | |
| .attr("class", "axis") | |
| .attr("transform", "translate(" + (margin.left * 0.85) + ", 0) rotate(-90)"); | |
| var yrLabel = svg.append("text") | |
| .text(year) | |
| .attr("class", "year") | |
| .attr("transform", "translate(" + (width - 215) + ", " + (height - margin.bottom * 2.5) + ")") | |
| // update(data, svg, scales, year); | |
| window.svg = svg; | |
| var interval = window.setInterval(function() { | |
| if (year > 2009) { | |
| year = 1950; | |
| } | |
| update(data, svg, scales, year); | |
| year++; | |
| }, 250); | |
| }); | |
| </script> | |
| </body> | |
| </html> |
| [{"name":"Angola","region":"Sub-Saharan Africa","income":[[1800,359.93],[1820,359.93],[1913,556.12],[1950,3363.02],[1951,3440.9],[1952,3520.61],[1953,3598.81],[1954,3450.82],[1955,3672.08],[1956,3549.04],[1957,3827.94],[1958,3966.42],[1959,3917.76],[1960,4006.21],[1961,4463.83],[1962,4269.28],[1963,4413.6],[1964,4826.49],[1965,5102.21],[1966,5308.14],[1967,5522.78],[1968,5346.63],[1969,5408.12],[1970,5651.88],[1971,5526.21],[1972,5473.29],[1973,5722.02],[1974,5470.21],[1975,3430.85],[1976,3050.32],[1977,3008.65],[1978,3070.82],[1979,3064.89],[1980,3074.75],[1981,2953.41],[1982,2756.95],[1983,2584.56],[1984,2527.47],[1985,2492.83],[1986,2220.61],[1987,2430.21],[1988,2728.53],[1989,2730.56],[1990,2777.42],[1991,2730.85],[1992,2627.85],[1993,1869.92],[1994,1851.45],[1995,1989.02],[1996,2157.35],[1997,2277.14],[1998,2384.48],[1999,2417.18],[2000,2446.65],[2001,2479.69],[2002,2773.29],[2003,2785.39],[2004,3007.11],[2005,3533],[2006,4069.56],[2007,4755.46],[2008,5228.74],[2009,5055.59]],"population":[[1800,1567028],[1820,1567028],[1940,3738000],[1950,4117617],[1951,4173095],[1952,4232095],[1953,4293840],[1954,4357527],[1955,4423223],[1956,4490992],[1957,4561361],[1958,4635885],[1959,4714676],[1960,4797344],[1961,4752489],[1962,4826015],[1963,4919586],[1964,5026044],[1965,5134818],[1966,5201250],[1967,5247469],[1968,5350384],[1969,5471641],[1970,5605626],[1971,5752775],[1972,5894858],[1973,6025841],[1974,5986432],[1975,5884241],[1976,5942225],[1977,6162675],[1978,6285716],[1979,6451227],[1980,6741465],[1981,6877697],[1982,7016384],[1983,7238214],[1984,7439658],[1985,7581504],[1986,7744932],[1987,7874230],[1988,8018724],[1989,8148595],[1990,8290856],[1991,8490763],[1992,8735988],[1993,8961438],[1994,9170032],[1995,9421477],[1996,9660081],[1997,9875024],[1998,10071442],[1999,10263229],[2000,10442812],[2001,10623424],[2002,10866106],[2003,11186202],[2004,11521432],[2005,11827315],[2006,12127071],[2007,12420476],[2008,12707546]],"lifeExpectancy":[[1800,26.98],[1940,26.98],[1950,29.22],[1951,29.42],[1952,29.81],[1953,30.21],[1954,30.6],[1955,31],[1956,31.4],[1957,31.8],[1958,32.2],[1959,32.6],[1960,33],[1961,33.4],[1962,33.8],[1963,34.2],[1964,34.6],[1965,35],[1966,35.4],[1967,35.8],[1968,36.2],[1969,36.6],[1970,37],[1971,37.41],[1972,37.83],[1973,38.26],[1974,38.68],[1975,39.09],[1976,39.46],[1977,39.8],[1978,40.1],[1979,40.34],[1980,40.55],[1981,40.71],[1982,40.85],[1983,40.97],[1984,41.08],[1985,41.2],[1986,41.33],[1987,41.48],[1988,41.64],[1989,41.81],[1990,41.99],[1991,42.16],[1992,42.32],[1993,42.46],[1994,42.59],[1995,42.7],[1996,42.82],[1997,42.96],[1998,43.12],[1999,43.32],[2000,43.56],[2001,43.86],[2002,44.22],[2003,44.61],[2004,45.05],[2005,45.52],[2006,46.02],[2007,46.54],[2008,47.06],[2009,47.58]]},{"name":"Benin","region":"Sub-Saharan Africa","income":[[1800,553.72],[1820,553.72],[1913,855.53],[1950,1104.47],[1951,1083.57],[1952,1062.75],[1953,1012.84],[1954,1021.29],[1955,1000.66],[1956,980.06],[1957,959.6],[1958,974.04],[1959,988.88],[1960,996.93],[1961,1006.39],[1962,949.5],[1963,970.34],[1964,1012.25],[1965,1039.34],[1966,1051.67],[1967,1035.83],[1968,1048.78],[1969,1052.8],[1970,1047.17],[1971,1024.93],[1972,1085.8],[1973,1081.87],[1974,973.64],[1975,987.96],[1976,1002.19],[1977,1029.16],[1978,1032.01],[1979,1083.17],[1980,1154.23],[1981,1186.7],[1982,1277.9],[1983,1187.14],[1984,1243.82],[1985,1297.16],[1986,1285.08],[1987,1225.86],[1988,1222.9],[1989,1158.34],[1990,1165.47],[1991,1181.65],[1992,1191.21],[1993,1177.91],[1994,1168.53],[1995,1176.67],[1996,1202.15],[1997,1232.98],[1998,1251.88],[1999,1272.8],[2000,1307.57],[2001,1333.3],[2002,1372.88],[2003,1386.05],[2004,1389.13],[2005,1390],[2006,1402.94],[2007,1428.15],[2008,1459.07],[2009,1457.57]],"population":[[1800,636559],[1820,636559],[1950,1672661],[1951,1704916],[1952,1738315],[1953,1772899],[1954,1808895],[1955,1846175],[1956,1884978],[1957,1925173],[1958,1966816],[1959,2010163],[1960,2055083],[1961,2101846],[1962,2151895],[1963,2202775],[1964,2255760],[1965,2310714],[1966,2367951],[1967,2427334],[1968,2488957],[1969,2553162],[1970,2619809],[1971,2689271],[1972,2761407],[1973,2836325],[1974,2914439],[1975,2995605],[1976,3080268],[1977,3168267],[1978,3259760],[1979,3354798],[1980,3444361],[1981,3540043],[1982,3641603],[1983,3748839],[1984,3861680],[1985,3982013],[1986,4110035],[1987,4243788],[1988,4382448],[1989,4526250],[1990,4676077],[1991,4828814],[1992,4981671],[1993,5214220],[1994,5487359],[1995,5700089],[1996,5886094],[1997,6066080],[1998,6248686],[1999,6435871],[2000,6627964],[2001,6824931],[2002,7026113],[2003,7230693],[2004,7438437],[2005,7649360],[2006,7862944],[2007,8078314],[2008,8294941]],"lifeExpectancy":[[1800,31],[1944,31],[1950,36.53],[1951,36.73],[1952,37.15],[1953,37.58],[1954,38.01],[1955,38.45],[1956,38.9],[1957,39.35],[1958,39.8],[1959,40.26],[1960,40.72],[1961,41.18],[1962,41.64],[1963,42.1],[1964,42.55],[1965,43.01],[1966,43.47],[1967,43.95],[1968,44.43],[1969,44.93],[1970,45.45],[1971,45.99],[1972,46.55],[1973,47.12],[1974,47.69],[1975,48.25],[1976,48.79],[1977,49.29],[1978,49.75],[1979,50.17],[1980,50.54],[1981,50.87],[1982,51.15],[1983,51.42],[1984,51.68],[1985,51.94],[1986,52.24],[1987,52.57],[1988,52.95],[1989,53.37],[1990,53.84],[1991,54.34],[1992,54.86],[1993,55.38],[1994,55.89],[1995,56.38],[1996,56.84],[1997,57.26],[1998,57.64],[1999,58],[2000,58.34],[2001,58.68],[2002,59.02],[2003,59.38],[2004,59.77],[2005,60.17],[2006,60.6],[2007,61.03],[2008,61.47],[2009,61.89]]},{"name":"Botswana","region":"Sub-Saharan Africa","income":[[1800,407.36],[1820,407.36],[1913,629.4],[1950,825.25],[1951,840.94],[1952,851.24],[1953,865.86],[1954,880.5],[1955,893.58],[1956,905.91],[1957,918.23],[1958,929.05],[1959,944.14],[1960,953.26],[1961,971.44],[1962,983.65],[1963,999.69],[1964,1018.75],[1965,1034.37],[1966,1119.01],[1967,1214.71],[1968,1319.18],[1969,1424.21],[1970,1532.71],[1971,1769.34],[1972,2263.61],[1973,2658.43],[1974,3077.33],[1975,2897.18],[1976,3271.32],[1977,3214.86],[1978,3640.34],[1979,3818.4],[1980,4178.48],[1981,4399.13],[1982,4551.14],[1983,5079.53],[1984,5450.44],[1985,5656.04],[1986,5889.64],[1987,6205.88],[1988,6959.66],[1989,7619.62],[1990,7829.23],[1991,7964.58],[1992,7954.11],[1993,7860.65],[1994,7898.05],[1995,8030.48],[1996,8281.92],[1997,8647.14],[1998,8990.98],[1999,9416.67],[2000,10107.99],[2001,10543.61],[2002,11003.61],[2003,11391.09],[2004,11722.59],[2005,12057],[2006,12574.18],[2007,13010.7],[2008,13240.06],[2009,12282.28]],"population":[[1800,121000],[1904,121000],[1911,125000],[1921,153000],[1936,266000],[1946,296000],[1950,430413],[1951,436320],[1952,442308],[1953,448377],[1954,454640],[1955,461100],[1956,467765],[1957,474639],[1958,481731],[1959,489080],[1960,496695],[1961,504585],[1962,512764],[1963,521237],[1964,529966],[1965,538100],[1966,545965],[1967,553541],[1968,561941],[1969,571874],[1970,583999],[1971,599647],[1972,619351],[1973,643076],[1974,671769],[1975,704591],[1976,741273],[1977,781472],[1978,822247],[1979,862602],[1980,900476],[1981,934438],[1982,970347],[1983,1006466],[1984,1042702],[1985,1078902],[1986,1114934],[1987,1151184],[1988,1188137],[1989,1225684],[1990,1263643],[1991,1301796],[1992,1342614],[1993,1385749],[1994,1427426],[1995,1466989],[1996,1503652],[1997,1536536],[1998,1564950],[1999,1588505],[2000,1607069],[2001,1620848],[2002,1630347],[2003,1636213],[2004,1639231],[2005,1640115],[2006,1639833],[2007,1639131],[2008,1638393]],"lifeExpectancy":[[1800,33.6],[1945,33.6],[1950,46.82],[1951,47.02],[1952,47.43],[1953,47.84],[1954,48.25],[1955,48.65],[1956,49.05],[1957,49.45],[1958,49.85],[1959,50.23],[1960,50.61],[1961,50.98],[1962,51.33],[1963,51.68],[1964,52.02],[1965,52.37],[1966,52.74],[1967,53.13],[1968,53.57],[1969,54.04],[1970,54.56],[1971,55.13],[1972,55.75],[1973,56.39],[1974,57.04],[1975,57.7],[1976,58.33],[1977,58.93],[1978,59.48],[1979,59.99],[1980,60.46],[1981,60.92],[1982,61.38],[1983,61.85],[1984,62.31],[1985,62.77],[1986,63.23],[1987,63.65],[1988,64],[1989,64.22],[1990,64.24],[1991,63.97],[1992,63.38],[1993,62.47],[1994,61.26],[1995,59.76],[1996,57.98],[1997,56.05],[1998,54.08],[1999,52.21],[2000,50.65],[2001,49.59],[2002,49.11],[2003,49.22],[2004,49.87],[2005,50.92],[2006,52.17],[2007,53.39],[2008,54.4],[2009,55.12]]},{"name":"Burkina 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