Skip to content

Instantly share code, notes, and snippets.

@ygrenzinger

ygrenzinger/ExcelFormattedGISTEMPDataCSV.csv

Last active August 29, 2015 14:26
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save ygrenzinger/e91ec0ab2b9cebfbd181 to your computer and use it in GitHub Desktop.
Save ygrenzinger/e91ec0ab2b9cebfbd181 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
README.md

First I have tried some possibilities like displaying Seasons and months data (you can see it here:http://bl.ocks.org/ygrenzinger/5851691737b1b25dd6ba). But it was not enough clear.

Finally I have chosen a Yearly Min / Mean / Max line series chart which clearly shows the upward trend in temperature anomalies.

The final chart is visible here : http://bl.ocks.org/ygrenzinger/e91ec0ab2b9cebfbd181

The Y axis represents GLOBAL Land-Ocean Temperature Index in 0.01 degrees Celsius

The X axis represents the different dates

I have worked with Months data for each years.

Raw
colorbrewer.js
// This product includes color specifications and designs developed by Cynthia Brewer (http://colorbrewer.org/).
var colorbrewer = {YlGn: {
3: ["#f7fcb9","#addd8e","#31a354"],
4: ["#ffffcc","#c2e699","#78c679","#238443"],
5: ["#ffffcc","#c2e699","#78c679","#31a354","#006837"],
6: ["#ffffcc","#d9f0a3","#addd8e","#78c679","#31a354","#006837"],
7: ["#ffffcc","#d9f0a3","#addd8e","#78c679","#41ab5d","#238443","#005a32"],
8: ["#ffffe5","#f7fcb9","#d9f0a3","#addd8e","#78c679","#41ab5d","#238443","#005a32"],
9: ["#ffffe5","#f7fcb9","#d9f0a3","#addd8e","#78c679","#41ab5d","#238443","#006837","#004529"]
},YlGnBu: {
3: ["#edf8b1","#7fcdbb","#2c7fb8"],
4: ["#ffffcc","#a1dab4","#41b6c4","#225ea8"],
5: ["#ffffcc","#a1dab4","#41b6c4","#2c7fb8","#253494"],
6: ["#ffffcc","#c7e9b4","#7fcdbb","#41b6c4","#2c7fb8","#253494"],
7: ["#ffffcc","#c7e9b4","#7fcdbb","#41b6c4","#1d91c0","#225ea8","#0c2c84"],
8: ["#ffffd9","#edf8b1","#c7e9b4","#7fcdbb","#41b6c4","#1d91c0","#225ea8","#0c2c84"],
9: ["#ffffd9","#edf8b1","#c7e9b4","#7fcdbb","#41b6c4","#1d91c0","#225ea8","#253494","#081d58"]
},GnBu: {
3: ["#e0f3db","#a8ddb5","#43a2ca"],
4: ["#f0f9e8","#bae4bc","#7bccc4","#2b8cbe"],
5: ["#f0f9e8","#bae4bc","#7bccc4","#43a2ca","#0868ac"],
6: ["#f0f9e8","#ccebc5","#a8ddb5","#7bccc4","#43a2ca","#0868ac"],
7: ["#f0f9e8","#ccebc5","#a8ddb5","#7bccc4","#4eb3d3","#2b8cbe","#08589e"],
8: ["#f7fcf0","#e0f3db","#ccebc5","#a8ddb5","#7bccc4","#4eb3d3","#2b8cbe","#08589e"],
9: ["#f7fcf0","#e0f3db","#ccebc5","#a8ddb5","#7bccc4","#4eb3d3","#2b8cbe","#0868ac","#084081"]
},BuGn: {
3: ["#e5f5f9","#99d8c9","#2ca25f"],
4: ["#edf8fb","#b2e2e2","#66c2a4","#238b45"],
5: ["#edf8fb","#b2e2e2","#66c2a4","#2ca25f","#006d2c"],
6: ["#edf8fb","#ccece6","#99d8c9","#66c2a4","#2ca25f","#006d2c"],
7: ["#edf8fb","#ccece6","#99d8c9","#66c2a4","#41ae76","#238b45","#005824"],
8: ["#f7fcfd","#e5f5f9","#ccece6","#99d8c9","#66c2a4","#41ae76","#238b45","#005824"],
9: ["#f7fcfd","#e5f5f9","#ccece6","#99d8c9","#66c2a4","#41ae76","#238b45","#006d2c","#00441b"]
},PuBuGn: {
3: ["#ece2f0","#a6bddb","#1c9099"],
4: ["#f6eff7","#bdc9e1","#67a9cf","#02818a"],
5: ["#f6eff7","#bdc9e1","#67a9cf","#1c9099","#016c59"],
6: ["#f6eff7","#d0d1e6","#a6bddb","#67a9cf","#1c9099","#016c59"],
7: ["#f6eff7","#d0d1e6","#a6bddb","#67a9cf","#3690c0","#02818a","#016450"],
8: ["#fff7fb","#ece2f0","#d0d1e6","#a6bddb","#67a9cf","#3690c0","#02818a","#016450"],
9: ["#fff7fb","#ece2f0","#d0d1e6","#a6bddb","#67a9cf","#3690c0","#02818a","#016c59","#014636"]
},PuBu: {
3: ["#ece7f2","#a6bddb","#2b8cbe"],
4: ["#f1eef6","#bdc9e1","#74a9cf","#0570b0"],
5: ["#f1eef6","#bdc9e1","#74a9cf","#2b8cbe","#045a8d"],
6: ["#f1eef6","#d0d1e6","#a6bddb","#74a9cf","#2b8cbe","#045a8d"],
7: ["#f1eef6","#d0d1e6","#a6bddb","#74a9cf","#3690c0","#0570b0","#034e7b"],
8: ["#fff7fb","#ece7f2","#d0d1e6","#a6bddb","#74a9cf","#3690c0","#0570b0","#034e7b"],
9: ["#fff7fb","#ece7f2","#d0d1e6","#a6bddb","#74a9cf","#3690c0","#0570b0","#045a8d","#023858"]
},BuPu: {
3: ["#e0ecf4","#9ebcda","#8856a7"],
4: ["#edf8fb","#b3cde3","#8c96c6","#88419d"],
5: ["#edf8fb","#b3cde3","#8c96c6","#8856a7","#810f7c"],
6: ["#edf8fb","#bfd3e6","#9ebcda","#8c96c6","#8856a7","#810f7c"],
7: ["#edf8fb","#bfd3e6","#9ebcda","#8c96c6","#8c6bb1","#88419d","#6e016b"],
8: ["#f7fcfd","#e0ecf4","#bfd3e6","#9ebcda","#8c96c6","#8c6bb1","#88419d","#6e016b"],
9: ["#f7fcfd","#e0ecf4","#bfd3e6","#9ebcda","#8c96c6","#8c6bb1","#88419d","#810f7c","#4d004b"]
},RdPu: {
3: ["#fde0dd","#fa9fb5","#c51b8a"],
4: ["#feebe2","#fbb4b9","#f768a1","#ae017e"],
5: ["#feebe2","#fbb4b9","#f768a1","#c51b8a","#7a0177"],
6: ["#feebe2","#fcc5c0","#fa9fb5","#f768a1","#c51b8a","#7a0177"],
7: ["#feebe2","#fcc5c0","#fa9fb5","#f768a1","#dd3497","#ae017e","#7a0177"],
8: ["#fff7f3","#fde0dd","#fcc5c0","#fa9fb5","#f768a1","#dd3497","#ae017e","#7a0177"],
9: ["#fff7f3","#fde0dd","#fcc5c0","#fa9fb5","#f768a1","#dd3497","#ae017e","#7a0177","#49006a"]
},PuRd: {
3: ["#e7e1ef","#c994c7","#dd1c77"],
4: ["#f1eef6","#d7b5d8","#df65b0","#ce1256"],
5: ["#f1eef6","#d7b5d8","#df65b0","#dd1c77","#980043"],
6: ["#f1eef6","#d4b9da","#c994c7","#df65b0","#dd1c77","#980043"],
7: ["#f1eef6","#d4b9da","#c994c7","#df65b0","#e7298a","#ce1256","#91003f"],
8: ["#f7f4f9","#e7e1ef","#d4b9da","#c994c7","#df65b0","#e7298a","#ce1256","#91003f"],
9: ["#f7f4f9","#e7e1ef","#d4b9da","#c994c7","#df65b0","#e7298a","#ce1256","#980043","#67001f"]
},OrRd: {
3: ["#fee8c8","#fdbb84","#e34a33"],
4: ["#fef0d9","#fdcc8a","#fc8d59","#d7301f"],
5: ["#fef0d9","#fdcc8a","#fc8d59","#e34a33","#b30000"],
6: ["#fef0d9","#fdd49e","#fdbb84","#fc8d59","#e34a33","#b30000"],
7: ["#fef0d9","#fdd49e","#fdbb84","#fc8d59","#ef6548","#d7301f","#990000"],
8: ["#fff7ec","#fee8c8","#fdd49e","#fdbb84","#fc8d59","#ef6548","#d7301f","#990000"],
9: ["#fff7ec","#fee8c8","#fdd49e","#fdbb84","#fc8d59","#ef6548","#d7301f","#b30000","#7f0000"]
},YlOrRd: {
3: ["#ffeda0","#feb24c","#f03b20"],
4: ["#ffffb2","#fecc5c","#fd8d3c","#e31a1c"],
5: ["#ffffb2","#fecc5c","#fd8d3c","#f03b20","#bd0026"],
6: ["#ffffb2","#fed976","#feb24c","#fd8d3c","#f03b20","#bd0026"],
7: ["#ffffb2","#fed976","#feb24c","#fd8d3c","#fc4e2a","#e31a1c","#b10026"],
8: ["#ffffcc","#ffeda0","#fed976","#feb24c","#fd8d3c","#fc4e2a","#e31a1c","#b10026"],
9: ["#ffffcc","#ffeda0","#fed976","#feb24c","#fd8d3c","#fc4e2a","#e31a1c","#bd0026","#800026"]
},YlOrBr: {
3: ["#fff7bc","#fec44f","#d95f0e"],
4: ["#ffffd4","#fed98e","#fe9929","#cc4c02"],
5: ["#ffffd4","#fed98e","#fe9929","#d95f0e","#993404"],
6: ["#ffffd4","#fee391","#fec44f","#fe9929","#d95f0e","#993404"],
7: ["#ffffd4","#fee391","#fec44f","#fe9929","#ec7014","#cc4c02","#8c2d04"],
8: ["#ffffe5","#fff7bc","#fee391","#fec44f","#fe9929","#ec7014","#cc4c02","#8c2d04"],
9: ["#ffffe5","#fff7bc","#fee391","#fec44f","#fe9929","#ec7014","#cc4c02","#993404","#662506"]
},Purples: {
3: ["#efedf5","#bcbddc","#756bb1"],
4: ["#f2f0f7","#cbc9e2","#9e9ac8","#6a51a3"],
5: ["#f2f0f7","#cbc9e2","#9e9ac8","#756bb1","#54278f"],
6: ["#f2f0f7","#dadaeb","#bcbddc","#9e9ac8","#756bb1","#54278f"],
7: ["#f2f0f7","#dadaeb","#bcbddc","#9e9ac8","#807dba","#6a51a3","#4a1486"],
8: ["#fcfbfd","#efedf5","#dadaeb","#bcbddc","#9e9ac8","#807dba","#6a51a3","#4a1486"],
9: ["#fcfbfd","#efedf5","#dadaeb","#bcbddc","#9e9ac8","#807dba","#6a51a3","#54278f","#3f007d"]
},Blues: {
3: ["#deebf7","#9ecae1","#3182bd"],
4: ["#eff3ff","#bdd7e7","#6baed6","#2171b5"],
5: ["#eff3ff","#bdd7e7","#6baed6","#3182bd","#08519c"],
6: ["#eff3ff","#c6dbef","#9ecae1","#6baed6","#3182bd","#08519c"],
7: ["#eff3ff","#c6dbef","#9ecae1","#6baed6","#4292c6","#2171b5","#084594"],
8: ["#f7fbff","#deebf7","#c6dbef","#9ecae1","#6baed6","#4292c6","#2171b5","#084594"],
9: ["#f7fbff","#deebf7","#c6dbef","#9ecae1","#6baed6","#4292c6","#2171b5","#08519c","#08306b"]
},Greens: {
3: ["#e5f5e0","#a1d99b","#31a354"],
4: ["#edf8e9","#bae4b3","#74c476","#238b45"],
5: ["#edf8e9","#bae4b3","#74c476","#31a354","#006d2c"],
6: ["#edf8e9","#c7e9c0","#a1d99b","#74c476","#31a354","#006d2c"],
7: ["#edf8e9","#c7e9c0","#a1d99b","#74c476","#41ab5d","#238b45","#005a32"],
8: ["#f7fcf5","#e5f5e0","#c7e9c0","#a1d99b","#74c476","#41ab5d","#238b45","#005a32"],
9: ["#f7fcf5","#e5f5e0","#c7e9c0","#a1d99b","#74c476","#41ab5d","#238b45","#006d2c","#00441b"]
},Oranges: {
3: ["#fee6ce","#fdae6b","#e6550d"],
4: ["#feedde","#fdbe85","#fd8d3c","#d94701"],
5: ["#feedde","#fdbe85","#fd8d3c","#e6550d","#a63603"],
6: ["#feedde","#fdd0a2","#fdae6b","#fd8d3c","#e6550d","#a63603"],
7: ["#feedde","#fdd0a2","#fdae6b","#fd8d3c","#f16913","#d94801","#8c2d04"],
8: ["#fff5eb","#fee6ce","#fdd0a2","#fdae6b","#fd8d3c","#f16913","#d94801","#8c2d04"],
9: ["#fff5eb","#fee6ce","#fdd0a2","#fdae6b","#fd8d3c","#f16913","#d94801","#a63603","#7f2704"]
},Reds: {
3: ["#fee0d2","#fc9272","#de2d26"],
4: ["#fee5d9","#fcae91","#fb6a4a","#cb181d"],
5: ["#fee5d9","#fcae91","#fb6a4a","#de2d26","#a50f15"],
6: ["#fee5d9","#fcbba1","#fc9272","#fb6a4a","#de2d26","#a50f15"],
7: ["#fee5d9","#fcbba1","#fc9272","#fb6a4a","#ef3b2c","#cb181d","#99000d"],
8: ["#fff5f0","#fee0d2","#fcbba1","#fc9272","#fb6a4a","#ef3b2c","#cb181d","#99000d"],
9: ["#fff5f0","#fee0d2","#fcbba1","#fc9272","#fb6a4a","#ef3b2c","#cb181d","#a50f15","#67000d"]
},Greys: {
3: ["#f0f0f0","#bdbdbd","#636363"],
4: ["#f7f7f7","#cccccc","#969696","#525252"],
5: ["#f7f7f7","#cccccc","#969696","#636363","#252525"],
6: ["#f7f7f7","#d9d9d9","#bdbdbd","#969696","#636363","#252525"],
7: ["#f7f7f7","#d9d9d9","#bdbdbd","#969696","#737373","#525252","#252525"],
8: ["#ffffff","#f0f0f0","#d9d9d9","#bdbdbd","#969696","#737373","#525252","#252525"],
9: ["#ffffff","#f0f0f0","#d9d9d9","#bdbdbd","#969696","#737373","#525252","#252525","#000000"]
},PuOr: {
3: ["#f1a340","#f7f7f7","#998ec3"],
4: ["#e66101","#fdb863","#b2abd2","#5e3c99"],
5: ["#e66101","#fdb863","#f7f7f7","#b2abd2","#5e3c99"],
6: ["#b35806","#f1a340","#fee0b6","#d8daeb","#998ec3","#542788"],
7: ["#b35806","#f1a340","#fee0b6","#f7f7f7","#d8daeb","#998ec3","#542788"],
8: ["#b35806","#e08214","#fdb863","#fee0b6","#d8daeb","#b2abd2","#8073ac","#542788"],
9: ["#b35806","#e08214","#fdb863","#fee0b6","#f7f7f7","#d8daeb","#b2abd2","#8073ac","#542788"],
10: ["#7f3b08","#b35806","#e08214","#fdb863","#fee0b6","#d8daeb","#b2abd2","#8073ac","#542788","#2d004b"],
11: ["#7f3b08","#b35806","#e08214","#fdb863","#fee0b6","#f7f7f7","#d8daeb","#b2abd2","#8073ac","#542788","#2d004b"]
},BrBG: {
3: ["#d8b365","#f5f5f5","#5ab4ac"],
4: ["#a6611a","#dfc27d","#80cdc1","#018571"],
5: ["#a6611a","#dfc27d","#f5f5f5","#80cdc1","#018571"],
6: ["#8c510a","#d8b365","#f6e8c3","#c7eae5","#5ab4ac","#01665e"],
7: ["#8c510a","#d8b365","#f6e8c3","#f5f5f5","#c7eae5","#5ab4ac","#01665e"],
8: ["#8c510a","#bf812d","#dfc27d","#f6e8c3","#c7eae5","#80cdc1","#35978f","#01665e"],
9: ["#8c510a","#bf812d","#dfc27d","#f6e8c3","#f5f5f5","#c7eae5","#80cdc1","#35978f","#01665e"],
10: ["#543005","#8c510a","#bf812d","#dfc27d","#f6e8c3","#c7eae5","#80cdc1","#35978f","#01665e","#003c30"],
11: ["#543005","#8c510a","#bf812d","#dfc27d","#f6e8c3","#f5f5f5","#c7eae5","#80cdc1","#35978f","#01665e","#003c30"]
},PRGn: {
3: ["#af8dc3","#f7f7f7","#7fbf7b"],
4: ["#7b3294","#c2a5cf","#a6dba0","#008837"],
5: ["#7b3294","#c2a5cf","#f7f7f7","#a6dba0","#008837"],
6: ["#762a83","#af8dc3","#e7d4e8","#d9f0d3","#7fbf7b","#1b7837"],
7: ["#762a83","#af8dc3","#e7d4e8","#f7f7f7","#d9f0d3","#7fbf7b","#1b7837"],
8: ["#762a83","#9970ab","#c2a5cf","#e7d4e8","#d9f0d3","#a6dba0","#5aae61","#1b7837"],
9: ["#762a83","#9970ab","#c2a5cf","#e7d4e8","#f7f7f7","#d9f0d3","#a6dba0","#5aae61","#1b7837"],
10: ["#40004b","#762a83","#9970ab","#c2a5cf","#e7d4e8","#d9f0d3","#a6dba0","#5aae61","#1b7837","#00441b"],
11: ["#40004b","#762a83","#9970ab","#c2a5cf","#e7d4e8","#f7f7f7","#d9f0d3","#a6dba0","#5aae61","#1b7837","#00441b"]
},PiYG: {
3: ["#e9a3c9","#f7f7f7","#a1d76a"],
4: ["#d01c8b","#f1b6da","#b8e186","#4dac26"],
5: ["#d01c8b","#f1b6da","#f7f7f7","#b8e186","#4dac26"],
6: ["#c51b7d","#e9a3c9","#fde0ef","#e6f5d0","#a1d76a","#4d9221"],
7: ["#c51b7d","#e9a3c9","#fde0ef","#f7f7f7","#e6f5d0","#a1d76a","#4d9221"],
8: ["#c51b7d","#de77ae","#f1b6da","#fde0ef","#e6f5d0","#b8e186","#7fbc41","#4d9221"],
9: ["#c51b7d","#de77ae","#f1b6da","#fde0ef","#f7f7f7","#e6f5d0","#b8e186","#7fbc41","#4d9221"],
10: ["#8e0152","#c51b7d","#de77ae","#f1b6da","#fde0ef","#e6f5d0","#b8e186","#7fbc41","#4d9221","#276419"],
11: ["#8e0152","#c51b7d","#de77ae","#f1b6da","#fde0ef","#f7f7f7","#e6f5d0","#b8e186","#7fbc41","#4d9221","#276419"]
},RdBu: {
3: ["#ef8a62","#f7f7f7","#67a9cf"],
4: ["#ca0020","#f4a582","#92c5de","#0571b0"],
5: ["#ca0020","#f4a582","#f7f7f7","#92c5de","#0571b0"],
6: ["#b2182b","#ef8a62","#fddbc7","#d1e5f0","#67a9cf","#2166ac"],
7: ["#b2182b","#ef8a62","#fddbc7","#f7f7f7","#d1e5f0","#67a9cf","#2166ac"],
8: ["#b2182b","#d6604d","#f4a582","#fddbc7","#d1e5f0","#92c5de","#4393c3","#2166ac"],
9: ["#b2182b","#d6604d","#f4a582","#fddbc7","#f7f7f7","#d1e5f0","#92c5de","#4393c3","#2166ac"],
10: ["#67001f","#b2182b","#d6604d","#f4a582","#fddbc7","#d1e5f0","#92c5de","#4393c3","#2166ac","#053061"],
11: ["#67001f","#b2182b","#d6604d","#f4a582","#fddbc7","#f7f7f7","#d1e5f0","#92c5de","#4393c3","#2166ac","#053061"]
},RdGy: {
3: ["#ef8a62","#ffffff","#999999"],
4: ["#ca0020","#f4a582","#bababa","#404040"],
5: ["#ca0020","#f4a582","#ffffff","#bababa","#404040"],
6: ["#b2182b","#ef8a62","#fddbc7","#e0e0e0","#999999","#4d4d4d"],
7: ["#b2182b","#ef8a62","#fddbc7","#ffffff","#e0e0e0","#999999","#4d4d4d"],
8: ["#b2182b","#d6604d","#f4a582","#fddbc7","#e0e0e0","#bababa","#878787","#4d4d4d"],
9: ["#b2182b","#d6604d","#f4a582","#fddbc7","#ffffff","#e0e0e0","#bababa","#878787","#4d4d4d"],
10: ["#67001f","#b2182b","#d6604d","#f4a582","#fddbc7","#e0e0e0","#bababa","#878787","#4d4d4d","#1a1a1a"],
11: ["#67001f","#b2182b","#d6604d","#f4a582","#fddbc7","#ffffff","#e0e0e0","#bababa","#878787","#4d4d4d","#1a1a1a"]
},RdYlBu: {
3: ["#fc8d59","#ffffbf","#91bfdb"],
4: ["#d7191c","#fdae61","#abd9e9","#2c7bb6"],
5: ["#d7191c","#fdae61","#ffffbf","#abd9e9","#2c7bb6"],
6: ["#d73027","#fc8d59","#fee090","#e0f3f8","#91bfdb","#4575b4"],
7: ["#d73027","#fc8d59","#fee090","#ffffbf","#e0f3f8","#91bfdb","#4575b4"],
8: ["#d73027","#f46d43","#fdae61","#fee090","#e0f3f8","#abd9e9","#74add1","#4575b4"],
9: ["#d73027","#f46d43","#fdae61","#fee090","#ffffbf","#e0f3f8","#abd9e9","#74add1","#4575b4"],
10: ["#a50026","#d73027","#f46d43","#fdae61","#fee090","#e0f3f8","#abd9e9","#74add1","#4575b4","#313695"],
11: ["#a50026","#d73027","#f46d43","#fdae61","#fee090","#ffffbf","#e0f3f8","#abd9e9","#74add1","#4575b4","#313695"]
},Spectral: {
3: ["#fc8d59","#ffffbf","#99d594"],
4: ["#d7191c","#fdae61","#abdda4","#2b83ba"],
5: ["#d7191c","#fdae61","#ffffbf","#abdda4","#2b83ba"],
6: ["#d53e4f","#fc8d59","#fee08b","#e6f598","#99d594","#3288bd"],
7: ["#d53e4f","#fc8d59","#fee08b","#ffffbf","#e6f598","#99d594","#3288bd"],
8: ["#d53e4f","#f46d43","#fdae61","#fee08b","#e6f598","#abdda4","#66c2a5","#3288bd"],
9: ["#d53e4f","#f46d43","#fdae61","#fee08b","#ffffbf","#e6f598","#abdda4","#66c2a5","#3288bd"],
10: ["#9e0142","#d53e4f","#f46d43","#fdae61","#fee08b","#e6f598","#abdda4","#66c2a5","#3288bd","#5e4fa2"],
11: ["#9e0142","#d53e4f","#f46d43","#fdae61","#fee08b","#ffffbf","#e6f598","#abdda4","#66c2a5","#3288bd","#5e4fa2"]
},RdYlGn: {
3: ["#fc8d59","#ffffbf","#91cf60"],
4: ["#d7191c","#fdae61","#a6d96a","#1a9641"],
5: ["#d7191c","#fdae61","#ffffbf","#a6d96a","#1a9641"],
6: ["#d73027","#fc8d59","#fee08b","#d9ef8b","#91cf60","#1a9850"],
7: ["#d73027","#fc8d59","#fee08b","#ffffbf","#d9ef8b","#91cf60","#1a9850"],
8: ["#d73027","#f46d43","#fdae61","#fee08b","#d9ef8b","#a6d96a","#66bd63","#1a9850"],
9: ["#d73027","#f46d43","#fdae61","#fee08b","#ffffbf","#d9ef8b","#a6d96a","#66bd63","#1a9850"],
10: ["#a50026","#d73027","#f46d43","#fdae61","#fee08b","#d9ef8b","#a6d96a","#66bd63","#1a9850","#006837"],
11: ["#a50026","#d73027","#f46d43","#fdae61","#fee08b","#ffffbf","#d9ef8b","#a6d96a","#66bd63","#1a9850","#006837"]
},Accent: {
3: ["#7fc97f","#beaed4","#fdc086"],
4: ["#7fc97f","#beaed4","#fdc086","#ffff99"],
5: ["#7fc97f","#beaed4","#fdc086","#ffff99","#386cb0"],
6: ["#7fc97f","#beaed4","#fdc086","#ffff99","#386cb0","#f0027f"],
7: ["#7fc97f","#beaed4","#fdc086","#ffff99","#386cb0","#f0027f","#bf5b17"],
8: ["#7fc97f","#beaed4","#fdc086","#ffff99","#386cb0","#f0027f","#bf5b17","#666666"]
},Dark2: {
3: ["#1b9e77","#d95f02","#7570b3"],
4: ["#1b9e77","#d95f02","#7570b3","#e7298a"],
5: ["#1b9e77","#d95f02","#7570b3","#e7298a","#66a61e"],
6: ["#1b9e77","#d95f02","#7570b3","#e7298a","#66a61e","#e6ab02"],
7: ["#1b9e77","#d95f02","#7570b3","#e7298a","#66a61e","#e6ab02","#a6761d"],
8: ["#1b9e77","#d95f02","#7570b3","#e7298a","#66a61e","#e6ab02","#a6761d","#666666"]
},Paired: {
3: ["#a6cee3","#1f78b4","#b2df8a"],
4: ["#a6cee3","#1f78b4","#b2df8a","#33a02c"],
5: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99"],
6: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c"],
7: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c","#fdbf6f"],
8: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c","#fdbf6f","#ff7f00"],
9: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c","#fdbf6f","#ff7f00","#cab2d6"],
10: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c","#fdbf6f","#ff7f00","#cab2d6","#6a3d9a"],
11: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c","#fdbf6f","#ff7f00","#cab2d6","#6a3d9a","#ffff99"],
12: ["#a6cee3","#1f78b4","#b2df8a","#33a02c","#fb9a99","#e31a1c","#fdbf6f","#ff7f00","#cab2d6","#6a3d9a","#ffff99","#b15928"]
},Pastel1: {
3: ["#fbb4ae","#b3cde3","#ccebc5"],
4: ["#fbb4ae","#b3cde3","#ccebc5","#decbe4"],
5: ["#fbb4ae","#b3cde3","#ccebc5","#decbe4","#fed9a6"],
6: ["#fbb4ae","#b3cde3","#ccebc5","#decbe4","#fed9a6","#ffffcc"],
7: ["#fbb4ae","#b3cde3","#ccebc5","#decbe4","#fed9a6","#ffffcc","#e5d8bd"],
8: ["#fbb4ae","#b3cde3","#ccebc5","#decbe4","#fed9a6","#ffffcc","#e5d8bd","#fddaec"],
9: ["#fbb4ae","#b3cde3","#ccebc5","#decbe4","#fed9a6","#ffffcc","#e5d8bd","#fddaec","#f2f2f2"]
},Pastel2: {
3: ["#b3e2cd","#fdcdac","#cbd5e8"],
4: ["#b3e2cd","#fdcdac","#cbd5e8","#f4cae4"],
5: ["#b3e2cd","#fdcdac","#cbd5e8","#f4cae4","#e6f5c9"],
6: ["#b3e2cd","#fdcdac","#cbd5e8","#f4cae4","#e6f5c9","#fff2ae"],
7: ["#b3e2cd","#fdcdac","#cbd5e8","#f4cae4","#e6f5c9","#fff2ae","#f1e2cc"],
8: ["#b3e2cd","#fdcdac","#cbd5e8","#f4cae4","#e6f5c9","#fff2ae","#f1e2cc","#cccccc"]
},Set1: {
3: ["#e41a1c","#377eb8","#4daf4a"],
4: ["#e41a1c","#377eb8","#4daf4a","#984ea3"],
5: ["#e41a1c","#377eb8","#4daf4a","#984ea3","#ff7f00"],
6: ["#e41a1c","#377eb8","#4daf4a","#984ea3","#ff7f00","#ffff33"],
7: ["#e41a1c","#377eb8","#4daf4a","#984ea3","#ff7f00","#ffff33","#a65628"],
8: ["#e41a1c","#377eb8","#4daf4a","#984ea3","#ff7f00","#ffff33","#a65628","#f781bf"],
9: ["#e41a1c","#377eb8","#4daf4a","#984ea3","#ff7f00","#ffff33","#a65628","#f781bf","#999999"]
},Set2: {
3: ["#66c2a5","#fc8d62","#8da0cb"],
4: ["#66c2a5","#fc8d62","#8da0cb","#e78ac3"],
5: ["#66c2a5","#fc8d62","#8da0cb","#e78ac3","#a6d854"],
6: ["#66c2a5","#fc8d62","#8da0cb","#e78ac3","#a6d854","#ffd92f"],
7: ["#66c2a5","#fc8d62","#8da0cb","#e78ac3","#a6d854","#ffd92f","#e5c494"],
8: ["#66c2a5","#fc8d62","#8da0cb","#e78ac3","#a6d854","#ffd92f","#e5c494","#b3b3b3"]
},Set3: {
3: ["#8dd3c7","#ffffb3","#bebada"],
4: ["#8dd3c7","#ffffb3","#bebada","#fb8072"],
5: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3"],
6: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462"],
7: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462","#b3de69"],
8: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462","#b3de69","#fccde5"],
9: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462","#b3de69","#fccde5","#d9d9d9"],
10: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462","#b3de69","#fccde5","#d9d9d9","#bc80bd"],
11: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462","#b3de69","#fccde5","#d9d9d9","#bc80bd","#ccebc5"],
12: ["#8dd3c7","#ffffb3","#bebada","#fb8072","#80b1d3","#fdb462","#b3de69","#fccde5","#d9d9d9","#bc80bd","#ccebc5","#ffed6f"]
}};
Raw
ExcelFormattedGISTEMPDataCSV.csv
Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec J-D D-N Winter Spring Summer Autumn
1880 -29 -19 -17 -27 -13 -28 -22 -6 -16 -15 -18 -20 -19 *** **** -19 -19 -16
1881 -8 -13 2 -2 -3 -27 -5 -1 -8 -18 -25 -14 -10 -11 -13 -1 -11 -17
1882 10 10 2 -19 -17 -24 -9 5 0 -21 -20 -24 -9 -8 2 -11 -9 -14
1883 -32 -41 -17 -23 -24 -11 -7 -12 -18 -11 -19 -17 -19 -20 -32 -22 -10 -16
1884 -17 -11 -33 -35 -31 -37 -33 -25 -22 -22 -30 -28 -27 -26 -15 -33 -32 -25
1885 -64 -29 -23 -44 -41 -50 -28 -27 -19 -19 -22 -5 -31 -33 -41 -36 -35 -20
1886 -41 -45 -41 -28 -27 -39 -15 -31 -18 -25 -26 -24 -30 -28 -30 -32 -28 -23
1887 -65 -47 -31 -37 -33 -20 -18 -27 -19 -32 -25 -37 -33 -32 -46 -33 -21 -26
1888 -42 -42 -47 -28 -21 -20 -8 -10 -7 2 0 -11 -20 -22 -40 -32 -13 -2
1889 -19 15 4 5 -3 -11 -5 -18 -18 -22 -30 -29 -11 -9 -5 2 -11 -23
1890 -46 -48 -41 -38 -48 -27 -29 -35 -36 -23 -37 -29 -36 -36 -41 -42 -30 -32
1891 -45 -48 -14 -25 -17 -21 -21 -20 -13 -23 -36 1 -23 -26 -41 -19 -21 -24
1892 -24 -14 -35 -34 -24 -18 -26 -18 -24 -15 -49 -27 -26 -23 -12 -31 -21 -29
1893 -67 -50 -23 -32 -34 -22 -12 -22 -17 -15 -16 -36 -29 -28 -48 -30 -19 -16
1894 -54 -31 -21 -40 -29 -43 -31 -26 -22 -16 -24 -21 -30 -31 -40 -30 -33 -21
1895 -43 -42 -29 -22 -23 -24 -16 -15 -1 -10 -15 -11 -21 -22 -35 -24 -18 -9
1896 -22 -15 -29 -32 -19 -13 -5 -8 -3 6 -15 -11 -14 -14 -16 -27 -9 -4
1897 -22 -19 -13 -1 0 -13 -4 -3 -4 -9 -18 -26 -11 -10 -17 -5 -7 -10
1898 -7 -33 -56 -34 -36 -21 -23 -23 -20 -33 -35 -21 -28 -29 -22 -42 -22 -29
1899 -17 -39 -35 -21 -20 -26 -13 -4 -2 0 12 -26 -16 -16 -26 -25 -14 3
1900 -39 -6 2 -14 -4 -13 -6 -3 2 10 -12 -13 -8 -9 -24 -5 -7 0
1901 -28 -4 6 -5 -17 -9 -7 -11 -16 -27 -15 -28 -13 -12 -15 -5 -9 -19
1902 -18 -2 -28 -26 -29 -33 -25 -27 -20 -26 -35 -45 -26 -25 -16 -28 -28 -27
1903 -27 -5 -22 -39 -41 -43 -29 -43 -42 -41 -38 -46 -35 -34 -25 -34 -38 -40
1904 -63 -54 -45 -50 -50 -49 -47 -42 -46 -34 -16 -28 -44 -45 -54 -48 -46 -32
1905 -37 -58 -24 -36 -33 -30 -24 -20 -14 -22 -7 -20 -27 -28 -41 -31 -24 -14
1906 -29 -32 -14 -2 -20 -20 -25 -18 -24 -20 -38 -16 -21 -22 -27 -12 -21 -27
1907 -43 -50 -24 -40 -45 -42 -34 -36 -31 -23 -50 -49 -39 -36 -36 -36 -37 -35
1908 -44 -35 -57 -45 -39 -37 -33 -44 -32 -42 -50 -49 -42 -42 -43 -47 -38 -41
1909 -69 -46 -51 -59 -54 -52 -42 -30 -37 -39 -32 -53 -47 -47 -55 -55 -41 -36
1910 -44 -43 -47 -38 -33 -36 -31 -33 -36 -38 -55 -68 -42 -41 -47 -39 -33 -43
1911 -63 -60 -63 -55 -52 -47 -40 -42 -38 -25 -19 -24 -44 -48 -63 -56 -43 -28
1912 -27 -14 -37 -21 -20 -26 -40 -51 -47 -55 -37 -40 -35 -33 -22 -26 -39 -47
1913 -40 -43 -43 -36 -45 -45 -33 -31 -32 -33 -17 -3 -33 -37 -41 -41 -36 -27
1914 2 -13 -22 -27 -19 -21 -23 -13 -13 -5 -20 -9 -15 -15 -5 -23 -19 -12
1915 -19 -1 -9 8 -1 -14 -1 -14 -11 -21 -12 -24 -10 -9 -10 -1 -10 -15
1916 -19 -21 -29 -24 -26 -41 -31 -25 -28 -27 -42 -77 -33 -28 -21 -26 -33 -32
1917 -46 -55 -48 -38 -48 -39 -21 -25 -17 -34 -28 -70 -39 -40 -59 -45 -28 -26
1918 -43 -31 -20 -38 -36 -27 -19 -24 -13 -2 -14 -27 -24 -28 -48 -31 -23 -10
1919 -17 -20 -25 -18 -18 -26 -19 -18 -16 -14 -29 -33 -21 -21 -21 -20 -21 -20
1920 -14 -22 -6 -25 -24 -31 -30 -27 -18 -27 -32 -44 -25 -24 -23 -18 -29 -25
1921 -2 -20 -26 -34 -34 -29 -14 -22 -16 -5 -15 -17 -19 -22 -22 -32 -21 -12
1922 -31 -40 -12 -20 -33 -31 -24 -29 -27 -30 -15 -15 -26 -26 -29 -21 -28 -24
1923 -25 -35 -29 -37 -31 -22 -27 -28 -26 -10 5 -3 -22 -24 -25 -33 -26 -11
1924 -21 -25 -11 -33 -17 -26 -25 -32 -29 -34 -21 -40 -26 -23 -16 -20 -28 -28
1925 -32 -32 -21 -24 -29 -32 -27 -17 -12 -16 5 11 -19 -23 -35 -25 -25 -8
1926 22 8 13 -13 -23 -24 -19 -9 -10 -10 -6 -29 -8 -5 14 -8 -17 -8
1927 -26 -19 -37 -31 -24 -26 -13 -18 -5 1 -3 -35 -20 -19 -25 -31 -19 -2
1928 -2 -10 -27 -28 -28 -40 -19 -24 -19 -18 -9 -19 -20 -21 -16 -28 -27 -15
1929 -46 -57 -34 -41 -38 -42 -32 -28 -23 -14 -14 -53 -35 -32 -41 -38 -34 -17
1930 -28 -23 -9 -24 -24 -17 -14 -9 -10 -8 15 -7 -13 -17 -35 -19 -14 -1
1931 -10 -20 -6 -20 -21 -5 2 0 -6 0 -10 -9 -9 -8 -12 -16 -1 -5
1932 14 -17 -19 -8 -22 -29 -23 -23 -12 -9 -26 -22 -16 -15 -4 -16 -25 -16
1933 -31 -30 -27 -23 -25 -31 -19 -22 -26 -23 -31 -45 -28 -26 -27 -25 -24 -27
1934 -25 -3 -28 -26 -10 -13 -10 -9 -15 -10 0 -7 -13 -16 -25 -22 -11 -8
1935 -37 12 -13 -34 -25 -22 -18 -16 -17 -7 -27 -20 -19 -18 -11 -24 -19 -17
1936 -28 -39 -24 -19 -15 -18 -5 -11 -5 -2 -4 -1 -14 -16 -29 -20 -11 -3
1937 -7 7 -16 -16 -6 -7 -3 4 15 10 11 -9 -1 -1 -1 -13 -2 12
1938 3 -2 6 5 -7 -17 -8 -3 4 13 3 -23 -2 -1 -3 2 -9 6
1939 -12 -11 -19 -12 -7 -8 -5 -4 1 -3 7 41 -3 -8 -15 -13 -5 2
1940 -13 6 12 16 6 6 11 1 12 8 13 20 8 10 11 11 6 11
1941 13 23 6 11 10 4 16 15 3 25 13 15 13 13 19 9 12 14
1942 29 7 12 14 15 12 3 -2 0 8 14 14 10 10 17 13 4 7
1943 1 23 3 15 11 1 15 4 12 31 27 29 14 13 12 9 7 23
1944 42 32 35 27 26 21 23 23 31 28 14 8 26 28 34 30 22 24
1945 15 5 11 25 11 3 8 26 22 22 10 -8 13 14 10 16 13 18
1946 17 6 0 12 -2 -15 -7 -9 -2 -6 -1 -27 -3 -1 5 3 -10 -3
1947 -8 -4 7 5 -6 -2 -3 -7 -14 7 0 -15 -3 -4 -13 2 -4 -2
1948 6 -12 -23 -9 6 -5 -13 -9 -13 -6 -9 -20 -9 -9 -7 -9 -9 -9
1949 10 -16 -1 -7 -10 -25 -13 -9 -9 -3 -8 -15 -9 -9 -9 -6 -16 -7
1950 -27 -27 -8 -21 -12 -8 -9 -18 -10 -18 -34 -19 -18 -17 -23 -14 -12 -21
1951 -35 -43 -19 -11 -1 -7 -2 6 4 9 1 16 -7 -10 -32 -10 -1 5
1952 16 13 -9 2 -5 -4 6 8 8 -3 -16 -2 1 3 15 -4 3 -4
1953 9 16 11 20 9 8 3 9 6 5 -5 4 8 7 8 13 6 2
1954 -27 -10 -12 -18 -20 -15 -16 -12 -7 0 9 -16 -12 -10 -11 -16 -14 1
1955 12 -21 -35 -22 -20 -7 -7 7 -14 -5 -28 -32 -14 -13 -8 -26 -2 -15
1956 -16 -25 -22 -27 -27 -15 -11 -26 -19 -24 -16 -10 -20 -22 -24 -25 -17 -19
1957 -13 -6 -6 -2 7 14 0 14 8 0 6 16 3 1 -9 0 9 5
1958 37 23 9 2 7 -6 3 -6 -5 3 2 0 6 7 25 6 -3 0
1959 6 9 20 17 5 3 5 -1 -5 -9 -9 -2 3 3 5 14 2 -8
1960 -2 13 -36 -17 -9 0 -3 0 4 8 -12 18 -3 -5 3 -20 -1 0
1961 7 19 10 15 14 11 -4 0 5 0 2 -15 5 8 15 13 2 2
1962 7 15 11 5 -6 5 -2 -3 -2 -4 6 -1 3 1 2 3 0 0
1963 -3 18 -15 -5 -10 3 9 23 20 14 16 0 6 6 5 -10 11 17
1964 -6 -11 -24 -30 -26 -9 -7 -22 -28 -30 -21 -30 -20 -18 -6 -27 -13 -26
1965 -9 -17 -12 -20 -14 -10 -10 -1 -12 -4 -6 -6 -10 -12 -19 -15 -7 -7
1966 -16 -1 4 -14 -9 3 8 -11 -2 -15 -2 -6 -5 -5 -8 -6 0 -6
1967 -7 -19 4 -6 12 -8 -1 3 -4 7 -6 -2 -2 -3 -11 4 -2 -1
1968 -22 -14 21 -5 -10 -5 -10 -11 -19 11 -5 -14 -7 -6 -13 2 -9 -4
1969 -11 -14 1 18 19 4 -2 3 10 9 12 27 6 3 -13 13 2 10
1970 10 23 8 9 -5 -1 -4 -10 11 4 1 -14 3 6 20 4 -5 6
1971 -3 -21 -19 -11 -7 -18 -13 -3 0 -6 -5 -8 -9 -10 -13 -12 -11 -4
1972 -26 -17 3 -1 -1 4 2 18 4 7 1 18 1 -1 -17 0 8 4
1973 27 31 25 26 26 16 9 2 6 12 5 -6 15 17 25 25 9 8
1974 -14 -28 -5 -10 0 -5 -3 11 -14 -7 -7 -10 -8 -7 -16 -5 1 -9
1975 8 7 14 6 17 0 -2 -21 -2 -9 -16 -17 -1 -1 1 12 -8 -9
1976 -1 -6 -21 -9 -23 -15 -10 -16 -9 -26 -6 8 -11 -13 -8 -18 -14 -14
1977 17 21 24 26 30 25 23 20 2 5 20 5 18 19 15 27 23 9
1978 8 12 21 14 7 -2 7 -19 6 1 18 11 7 7 9 14 -5 8
1979 15 -7 18 12 6 14 2 14 26 26 29 48 17 14 6 12 10 27
1980 30 42 29 33 35 18 28 26 22 19 29 20 28 30 40 32 24 23
1981 55 41 49 32 23 31 35 33 18 14 22 40 33 31 39 35 33 18
1982 9 16 -2 9 15 4 13 9 16 14 14 43 13 13 22 7 9 14
1983 53 41 42 30 36 19 15 31 38 16 31 17 31 33 45 36 22 28
1984 31 18 29 10 34 6 15 15 19 15 4 -6 16 18 22 24 12 13
1985 22 -5 17 10 18 17 2 15 15 13 10 16 12 11 4 15 11 13
1986 30 38 29 26 26 14 13 12 2 14 11 16 19 19 28 27 13 9
1987 36 46 17 26 26 36 47 28 40 33 26 48 34 31 33 23 37 33
1988 57 42 49 44 44 42 35 44 41 38 11 33 40 41 49 46 40 30
1989 16 35 36 33 17 15 33 35 37 33 19 36 29 29 28 29 27 30
1990 40 41 76 54 46 38 43 30 29 42 45 41 44 43 39 58 37 39
1991 42 50 35 51 39 54 51 42 48 31 31 33 42 43 44 42 49 37
1992 45 42 47 23 32 24 13 10 -1 10 4 22 23 24 40 34 16 5
1993 37 39 36 27 27 23 27 14 11 23 7 19 24 24 33 30 21 14
1994 31 3 26 40 29 41 31 22 34 42 46 36 32 30 18 32 32 41
1995 51 78 45 47 29 44 49 49 34 49 44 30 46 46 55 40 47 43
1996 27 49 34 36 29 26 35 50 26 21 41 40 35 34 35 33 37 29
1997 33 37 51 37 38 54 37 42 55 65 65 59 48 46 37 42 44 62
1998 61 89 62 64 71 77 70 69 46 46 49 58 63 64 70 65 72 47
1999 48 67 33 34 33 37 41 35 43 42 41 48 42 43 58 33 38 42
2000 26 59 59 59 40 43 42 43 43 29 33 30 42 44 44 53 43 35
2001 45 47 58 52 59 54 60 50 56 52 71 55 55 53 41 57 55 59
2002 74 76 91 59 65 55 61 55 64 57 59 42 63 64 68 71 57 60
2003 72 55 57 55 63 48 55 66 67 75 55 74 62 59 57 58 57 66
2004 58 70 66 62 42 42 27 45 53 67 72 52 55 57 67 57 38 64
2005 72 59 69 70 64 66 66 63 77 80 75 68 69 68 61 68 65 77
2006 57 71 64 49 47 64 55 71 64 70 73 78 64 63 65 53 63 69
2007 97 70 70 75 69 59 62 61 65 61 57 49 66 69 82 71 61 61
2008 27 36 75 53 51 48 60 45 64 67 67 55 54 53 37 60 51 66
2009 62 54 53 61 64 67 73 68 69 65 78 65 65 64 57 59 69 71
2010 73 79 92 87 75 64 61 65 61 71 79 49 71 73 72 85 63 71
2011 50 51 64 66 53 59 74 73 56 67 56 53 60 60 50 61 69 60
2012 45 49 57 69 76 62 56 64 75 79 74 52 63 63 49 67 61 76
2013 67 57 65 54 61 65 59 66 77 70 81 67 66 64 58 60 63 76
2014 74 50 77 78 86 66 58 82 90 86 68 79 75 74 64 81 69 81
2015 82 88 90 74 76 80 **** **** **** **** **** **** **** *** 83 80 **** ****
Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/3.10.0/lodash.js"></script>
<script src="colorbrewer.js"></script>
<script>
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y").parse;
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
var seasonsColor = d3.scale.ordinal().range(colorbrewer.YlOrRd[3]);
var months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"];
var monthsColor = d3.scale.ordinal()
.domain(months)
.range(colorbrewer.Set3[12]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.temperatureIndex); });
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 + ")");
d3.csv("ExcelFormattedGISTEMPDataCSV.csv", function(error, data) {
if (error) throw error;
//GLOBAL Land-Ocean Temperature Index in 0.01 degrees Celsius
//J-D is January-December;
//D-N, December-November.
//DJF is December-January-February (aka winter),
//MAM is spring, JJA is summer,
//SON is fall/autumn.
seasonsColor.domain(d3.keys(data[0]).filter(function(key) {
return key === "Winter" || key === "Spring" || key === "Summer" || key === "Autumn";
}));
monthsColor.domain(d3.keys(data[0]).filter(function(key) {
return _.includes(months, key);;
}));
data.forEach(function(d) {
d.date = parseDate(d.Year);
});
var yearsData = seasonsColor.domain().map(function(name) {
var values = [];
data.forEach(function(d) {
if (!isNaN(+d[name])) {
values.push({date: d.date, temperatureIndex: +d[name]});
}
});
return {
name: name,
values: values
};
});
var monthsData = [];
data.forEach(function(d) {
monthsColor.domain().forEach(function(month) {
if (!isNaN(+d[month])) {
monthsData.push({month: month, date: d.date, temperatureIndex: +d[month]});
}
});
});
var minMaxMeanData = [
{name: "Mean yearly temperature anomalies", values: []},
{name: "Max yearly temperature anomalies", values: []},
{name: "Min yearly temperature anomalies", values: []}
];
data.forEach(function(d) {
var valuesOfEachMonth = [];
monthsColor.domain().forEach(function(month) {
if (!isNaN(+d[month])) {
valuesOfEachMonth.push(+d[month]);
}
});
minMaxMeanData[0].values.push({
date: d.date,
temperatureIndex: d3.mean(valuesOfEachMonth)
});
minMaxMeanData[1].values.push({
date: d.date,
temperatureIndex: d3.max(valuesOfEachMonth)
});
minMaxMeanData[2].values.push({
date: d.date,
temperatureIndex: d3.min(valuesOfEachMonth)
});
});
x.domain(d3.extent(data, function(d) { return d.date; }));
var min = d3.min(yearsData, function(c) { return d3.min(c.values, function(v) { return v.temperatureIndex; }); });
var max = d3.max(yearsData, function(c) { return d3.max(c.values, function(v) { return v.temperatureIndex; }); });
y.domain([min, max]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("GLOBAL Land-Ocean Temperature Index in 0.01 degrees Celsius base period: 1951-1980");
/*
svg.selectAll(".month")
.data(monthsData)
.enter().append("circle")
.attr("r", 1.5)
.attr("cx", function(d) {
return x(d.date);
})
.attr("cy", function(d) {
return y(d.temperatureIndex);
})
.style("fill", function(d) { return monthsColor(d.month); });
*/
var season = svg.selectAll(".season")
.data(minMaxMeanData)
.enter().append("g")
.attr("class", "season");
season.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
}).style("stroke", function(d, i) {
return seasonsColor(i);
});
season.append("text")
.datum(function(d) { return {name: d.name, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d, i) {
return "translate(" + 650 + "," + (300 + (i * 20)) + ")";
}).attr("x", 3)
.attr("dy", ".35em")
.style("stroke", function(d, i) { return seasonsColor(i); })
.text(function(d) { return d.name; });
svg.append("text")
.attr("x", 100)
.attr("y", 0)
.style("font-size", "20px")
.text("Upward trend in average temperature anomalies");
});
</script>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment