Takes mbostock’s shape tweening example as a starting point, then devolves into ridiculousness. Try mousing over paths, and also clicking! Never use this for a real mapping project, except perhaps as inspiration for creating a legitimate outlines-to-Dorling transition.
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some really important information to share |
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Country,Dwellings without basic facilities,Housing expenditure,Rooms per person,Household net adjusted disposable income,Household net financial wealth,Employment rate,Job security,Long-term unemployment rate,Personal earnings,Quality of support network,Educational attainment,Student skills,Years in education,Air pollution,Water quality,Consultation on rule-making,Voter turnout,Life expectancy,Self-reported health,Life satisfaction,Assault rate,Homicide rate,Employees working very long hours,Time devoted to leisure and personal care | |
Australia,1.1,20,2.3,31197,38482,72,4.4,1.06,46585,93,74,512,18.8,13,93,10.5,93,82,85,7.4,2.1,0.8,14.23,14.41 | |
Austria,1,21,1.6,29256,48125,73,3.4,1.07,43837,95,82,500,16.9,27,95,7.1,75,81.1,69,7.5,3.4,0.5,8.61,14.46 | |
Belgium,1.9,20,2.3,27811,78368,62,4.5,3.37,47276,91,71,509,18.8,21,84,4.5,89,80.5,74,7.1,6.6,1.2,4.41,15.71 | |
Brazil,6.7,21,1.4,10310,6875,67,4.8,2.17,7909,90,43,402,16.3,18,67,4,79,73.4,69,7.2,7.9,25.5,10.74,14.97 | |
Canada,0.2,22,2.5,30212,63261,72,6.6,0.9,44017,94,89,522 |
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Country,Dwellings without basic facilities,Housing expenditure,Rooms per person,Household net adjusted disposable income,Household net financial wealth,Employment rate,Job security,Long-term unemployment rate,Personal earnings,Quality of support network,Educational attainment,Student skills,Years in education,Air pollution,Water quality,Consultation on rule-making,Voter turnout,Life expectancy,Self-reported health,Life satisfaction,Assault rate,Homicide rate,Employees working very long hours,Time devoted to leisure and personal care | |
Australia,1.1,20,2.3,31197,38482,72,4.4,1.06,46585,93,74,512,18.8,13,93,10.5,93,82,85,7.4,2.1,0.8,14.23,14.41 | |
Austria,1,21,1.6,29256,48125,73,3.4,1.07,43837,95,82,500,16.9,27,95,7.1,75,81.1,69,7.5,3.4,0.5,8.61,14.46 | |
Belgium,1.9,20,2.3,27811,78368,62,4.5,3.37,47276,91,71,509,18.8,21,84,4.5,89,80.5,74,7.1,6.6,1.2,4.41,15.71 | |
Brazil,6.7,21,1.4,10310,6875,67,4.8,2.17,7909,90,43,402,16.3,18,67,4,79,73.4,69,7.2,7.9,25.5,10.74,14.97 | |
Canada,0.2,22,2.5,30212,63261,72,6.6,0.9,44017,94,89,522 |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<title>SVG Resize Test</title> | |
<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script> | |
<style type="text/css"> | |
body { | |
background-color: #50BCE8; |
We can make this file beautiful and searchable if this error is corrected: It looks like row 4 should actually have 41 columns, instead of 1. in line 3.
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Country,Rank,Score,ScoreReversedHighGood,UndernourishmentStandard,UnderweightStandard,EnoughtoEatScore,EnoughtoEatScoreReversed,FoodPriceLevelStandard,FoodPriceInflationStandard,AffordScore,AffordScoreReversed,NutritionDiversityStandard,SafeWaterStandard,FoodQualityScore,FoodQualityScoreReversed,DiabetesStandard,ObesityStandard,UnhealthyEatingScore,UnhealthyEatingScoreReversed,RawUndernourish,RawUnderweight,RawFoodPrice,RawInflationVolatility,RawDietDiversity,RawSafeWater,RawDiabetes,RawObesity,Code,Region,Incomegroup,Driver1,Driver2,Driver3,DriverBest,DriverBestF,Driver1a,Driver2a,Driver3a,DriverWorst,DriverWorstF | |
Netherlands,1,6,94,0,0,0,100,6,7,7,93,3,0,2,98,9,25,17,83,13.3,16.6,2.02,0.039440707,57,74.4,8.8,10.3,NLD,Europe & Central Asia,High income: OECD,100,100,100,100,Enough to Eat,7,7,17,17,Unhealthy Eating | |
France,2,8,92,0,0,0,100,14,3,9,91,10,0,5,95,12,24,18,82,4,0.9,2.03,0.082913198,45,97.8,6.3,7.7,FRA,Europe & Central Asia,High income: OECD,100,100,100,100,Enough to Eat,9,9,18,18,Unhealthy Eating | |
Sw |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<title>Sorting Elements</title> | |
<!--<script type="text/javascript" src="../d3.v3.js"></script>--> | |
<script type="text/javascript" src="http://d3js.org./d3.v3.js"></script> | |
<style type="text/css"> | |
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SourceCountry | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | |
---|---|---|---|---|---|---|---|---|---|---|---|
People's Republic of China | 36620 | 42584 | 33518 | 27642 | 30037 | 29622 | 30391 | 28503 | 33024 | 34126 | |
India | 28235 | 36210 | 33847 | 28742 | 28261 | 29457 | 34235 | 27509 | 30932 | 33085 | |
Philippines | 14004 | 18139 | 18400 | 19837 | 24888 | 28573 | 38617 | 36765 | 34314 | 29539 | |
Pakistan | 13399 | 14314 | 13127 | 10124 | 8994 | 7217 | 6811 | 7468 | 11227 | 12602 | |
Iran | 6348 | 5837 | 7480 | 6974 | 6475 | 6580 | 7477 | 7479 | 7533 | 11291 | |
United States of America | 6990 | 8394 | 9613 | 9463 | 10190 | 8995 | 8142 | 7675 | 7891 | 8495 | |
United Kingdom and Colonies | 7533 | 7258 | 7140 | 8216 | 8979 | 8876 | 8724 | 6204 | 6195 | 5826 | |
France | 4391 | 4429 | 4002 | 4290 | 4532 | 5051 | 4646 | 4080 | 6280 | 5624 | |
Iraq | 1796 | 2226 | 1788 | 2406 | 3543 | 5450 | 5941 | 6196 | 4041 | 4918 |
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second change | |
hahahaha | |
tee hee third change so funny OMG |
We can make this file beautiful and searchable if this error is corrected: It looks like row 7 should actually have 25 columns, instead of 1. in line 6.
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country,dwellingsWithoutBasicFacilities,housingExpenditure,roomsPerPerson,householdNetAdjustedDisposableIncome,householdNetFinancialWealth,employmentRate,jobSecurity,longTermUnemploymentRate,personalEarnings,qualityOfSupportNetwork,educationalAttainment,studentSkills,yearsInEducation,airPollution,waterQuality,consultationOnRuleMaking,voterTurnout,lifeExpectancy,selfReportedHealth,lifeSatisfaction,assaultRate,homicideRate,employeesWorkingVeryLongHours,timeDevotedToLeisureAndPersonalCare | |
Australia,1.1,20,2.3,31197,38482,72,4.4,1.06,46585,93,74,512,18.8,13,93,10.5,93,82,85,7.4,2.1,0.8,14.23,14.41 | |
Austria,1,21,1.6,29256,48125,73,3.4,1.07,43837,95,82,500,16.9,27,95,7.1,75,81.1,69,7.5,3.4,0.5,8.61,14.46 | |
Belgium,1.9,20,2.3,27811,78368,62,4.5,3.37,47276,91,71,509,18.8,21,84,4.5,89,80.5,74,7.1,6.6,1.2,4.41,15.71 | |
Brazil,6.7,21,1.4,10310,6875,67,4.8,2.17,7909,90,43,402,16.3,18,67,4,79,73.4,69,7.2,7.9,25.5,10.74,14.97 | |
Canada,0.2,22,2.5,30212,63261,72,6.6,0.9,44017,94,89,522,17,15,90,10.5,61,81,88,7.6,1.3,1.7,3.98,14.25 | |
C |
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