Tuesday, January 2, 2007
World Watch State of the World data in Readily Reusable form
Temporary Workaround
We are still working on finding a convenient way to share readily reusable data so that it will be as easy as possible for you to download. We're not there yet. So in the Meantime, I thought I would try an experiment of pasting the data into this blog entry. It will be clumsy but you should be able to select copy the text data (just the text in Orange) and paste it into the Notepad editor and then save the file with a CSV extension.
Once you have done that, you will be able to have fun playing with this interesting data set using TLViz.
War & Peace,Source: World Watch State of the World 2002,Composite of selected factors including ,transportation,fossil fuel use,nuclear weapons,world food supply,armed forces manpower ,population,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Sample Time,Air Billions of Freight Ton Kilometers,Air billions of passenger kilometers,Autos Passenger Cars,Autos People Per Car,Autos total,Autos World Wide Total Fleet,Bike production in millions China,Bike production in millions US,coal million tons oil equiv china,coal million tons oil equiv former soviet union,coal million tons oil equiv USA,coal million tons oil equiv world wide,Employment World Arms Industry in millions,Food - per capital food production index,Food - Prices in Constant 1999 dollars,fossil fuel consumptions millions of tons OIL world wide,fossil fuel consumptions millions of tons oil equiv ALL world wide,fossil fuel consumptions millions of tons oil equiv NATURAL GAS world wide,Grain Carryover in Days of supply,Grain Carryover in Millions of Tons,Grain Corn Millions of Tons,Grain for Feed Use in Millions of Ton,Grain Per Person in Kilograms,Grain Percentage for Feed Use,Grain Rice Millions of Tons,Grain Total Production in Millions of Tons,Grain Wheat Millions of Tons,Grain Yield in Tons Per Hectare - ALL,Grain Yield in Tons Per Hectare - Corn,Grain Yield in Tons Per Hectare - Rice,Grain Yield in Tons Per Hectare - Wheat,Nukes China,Nukes France,Nukes Soviet Union/Russia Nukes,Nukes Total World wide,Nukes United Kingdom Nukes,Nukes United States Nukes,Population - annual addition in Millions,Population Annual Growth rate in Percent,Population World Wide in Billions,Refugees per UNHCR Africa in Millions,Refugees per UNHCR Europe in Millions,Refuges per UNHCR Asia in Millions,Refuges per UNHCR World Wide in millions,Soldiers China in Millions,Soldiers India in Millions,Soldiers North Korea in Millions,Soldiers US in millions,Soldiers USSR in Millions,Soldiers World Wide in millions,Travel International Tourist Arrivals in Millions,Travel International tourist receipts in Billions of 1999 dollars
1/1/1990 0:00,58.8,1894.2,36.3,11.9,0,444.9,31.9,5.6,533.6,308,482.3,2270.3,16.3,100.8,51.7,3135.5,7150,1773.8,104,490,482,665,335,39,352,1769,588,2.54,3.75,2.4,2.54,432,504,38000,60236,300,21000,83.2,1.6,5.3,4.6,0.8,6.8,14.9,3.5,1.3,1.2,2.2,3.7,28.2,457.2,319.1
1/1/1991 0:00,58.6,1845.4,35.1,11.8,0,456,36.8,7.6,534.9,277.7,478.5,2224.5,15.4,99.4,50.1,3134.3,7165.1,1806.3,102,479,491,654,318,38,355,1708,543,2.47,3.73,2.41,2.44,434,538,35000,55772,300,19500,82.7,1.5,5.4,5.6,0.9,7.9,17.2,3.2,1.3,1.2,2.1,3.6,26.5,462.7,323.4
1/1/1992 0:00,62.6,1928.9,35.5,11.6,0,469.9,40.3,8.9,549.5,265.5,482.7,2211.3,14,100.6,49.1,3165,7185.8,1809.5,107,513,539,663,328,38,356,1789,562,2.57,4.05,1.97,2.52,434,538,33500,52972,300,18200,81.3,1.5,5.4,5.3,1.2,8.6,17,3.2,1.3,1.2,1.9,3.6,25.9,500.9,359.7
1/1/1993 0:00,68.4,1949.4,34.2,11.8,0,469.5,41,7.7,570.3,238.7,498.1,2206.1,13,100,48.6,3135.1,7190.4,1849.2,98,471,476,654,310,37,355,1713,559,2.5,3.64,2.45,2.52,434,524,32000,50008,300,16750,80,1.4,5.5,5.4,3.8,7.2,19,3,1.3,1.2,1.8,3.2,25,515.7,358.4
1/1/1994 0:00,77.2,2099.9,34.8,11.7,47.6,479.9,42,7.3,606.4,211.5,502.3,2224.4,11.6,101.6,49.3,3192.1,7274,1857.5,94,459,560,670,314,38,365,1760,524,2.57,4.15,2.47,2.44,400,512,30000,46542,250,15380,79.9,1.4,5.6,7.5,6.1,8,23,2.9,1.3,1.2,1.7,2.8,24.1,550.3,387.1
1/1/1995 0:00,83.1,2248.2,35.5,11.9,48.5,477,41,8.5,635.7,192.7,504.6,2258.3,10.6,102.3,49.4,3235.4,7406.9,1913.2,85,409,517,638,301,36,371,1713,538,2.52,3.85,2.51,2.46,400,500,28000,43200,300,14000,77.7,1.4,5.7,11.8,6.5,7.9,27.4,2.9,1.2,1.1,1.6,2.5,23.5,565.4,433.2
1/1/1996 0:00,89.2,2431.7,36.9,11.9,50.3,486,38,7.4,676.9,178.7,528.1,2341.6,9.4,105.1,58.1,3315.5,7662.2,2005.1,90,450,592,673,324,37,380,1871,582,2.66,4.2,2.54,2.53,400,500,26000,40100,300,12900,78.2,1.4,5.8,9.1,7.7,7.7,26.1,2.9,1.2,1.1,1.6,2.2,22.6,597.4,457.2
1/1/1997 0:00,102.9,2573,39.1,11.7,53.2,498,30,6,652.8,175.2,540.9,2326.8,9,106.3,54.5,3387.7,7707,1992.5,98,494,575,686,322,37,387,1880,609,2.72,4.24,2.55,2.67,400,450,24000,37535,260,12425,77.8,1.3,5.8,8.1,5.7,7.9,22.7,2.9,1.2,1.1,1.5,2,21.9,618.2,451.8
1/1/1998 0:00,101.8,2628.1,38.4,11.6,51.9,510.3,23.1,2.5,621.2,166.6,543.2,2281.1,8.5,106.8,48.5,3398.2,7694.9,2015.6,104,523,606,679,316,37,394,1872,589,2.74,4.35,2.55,2.62,400,450,22000,34535,260,11425,77.9,1.3,5.9,7.4,6.1,7.5,22.4,2.7,1.2,1.1,1.5,1.9,21.9,636,448.4
1/1/1999 0:00,108.7,2797.8,39.9,11.5,54.8,520,42.7,1.7,516.6,170.7,546.4,2159.9,8.2,108.3,42.1,3469.1,7694.2,2065.2,102,523,607,683,312,36,409,1871,586,2.78,4.26,2.56,2.65,400,450,20000,31960,185,10925,77.6,1.3,6,6.3,6.2,7.5,21.5,2.5,1.2,1.1,1.5,1.8,21.7,650,455.5
1/1/2000 0:00,118.3,3010.2,41.1,11.1,56.7,545.6,52.2,1.1,483.8,175,564.1,2186,8.2,108.2,43,3503.6,7853.6,2164,95,489,586,688,303,37,397,1840,583,2.76,4.31,2.62,2.66,400,450,20000,31535,185,10500,77.3,1.3,6.1,6.3,7.3,7.3,22.3,2.5,1.2,1.1,1.5,1.8,21.7,698,468.6
We are still working on finding a convenient way to share readily reusable data so that it will be as easy as possible for you to download. We're not there yet. So in the Meantime, I thought I would try an experiment of pasting the data into this blog entry. It will be clumsy but you should be able to select copy the text data (just the text in Orange) and paste it into the Notepad editor and then save the file with a CSV extension.
Once you have done that, you will be able to have fun playing with this interesting data set using TLViz.
War & Peace,Source: World Watch State of the World 2002,Composite of selected factors including ,transportation,fossil fuel use,nuclear weapons,world food supply,armed forces manpower ,population,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
Sample Time,Air Billions of Freight Ton Kilometers,Air billions of passenger kilometers,Autos Passenger Cars,Autos People Per Car,Autos total,Autos World Wide Total Fleet,Bike production in millions China,Bike production in millions US,coal million tons oil equiv china,coal million tons oil equiv former soviet union,coal million tons oil equiv USA,coal million tons oil equiv world wide,Employment World Arms Industry in millions,Food - per capital food production index,Food - Prices in Constant 1999 dollars,fossil fuel consumptions millions of tons OIL world wide,fossil fuel consumptions millions of tons oil equiv ALL world wide,fossil fuel consumptions millions of tons oil equiv NATURAL GAS world wide,Grain Carryover in Days of supply,Grain Carryover in Millions of Tons,Grain Corn Millions of Tons,Grain for Feed Use in Millions of Ton,Grain Per Person in Kilograms,Grain Percentage for Feed Use,Grain Rice Millions of Tons,Grain Total Production in Millions of Tons,Grain Wheat Millions of Tons,Grain Yield in Tons Per Hectare - ALL,Grain Yield in Tons Per Hectare - Corn,Grain Yield in Tons Per Hectare - Rice,Grain Yield in Tons Per Hectare - Wheat,Nukes China,Nukes France,Nukes Soviet Union/Russia Nukes,Nukes Total World wide,Nukes United Kingdom Nukes,Nukes United States Nukes,Population - annual addition in Millions,Population Annual Growth rate in Percent,Population World Wide in Billions,Refugees per UNHCR Africa in Millions,Refugees per UNHCR Europe in Millions,Refuges per UNHCR Asia in Millions,Refuges per UNHCR World Wide in millions,Soldiers China in Millions,Soldiers India in Millions,Soldiers North Korea in Millions,Soldiers US in millions,Soldiers USSR in Millions,Soldiers World Wide in millions,Travel International Tourist Arrivals in Millions,Travel International tourist receipts in Billions of 1999 dollars
1/1/1990 0:00,58.8,1894.2,36.3,11.9,0,444.9,31.9,5.6,533.6,308,482.3,2270.3,16.3,100.8,51.7,3135.5,7150,1773.8,104,490,482,665,335,39,352,1769,588,2.54,3.75,2.4,2.54,432,504,38000,60236,300,21000,83.2,1.6,5.3,4.6,0.8,6.8,14.9,3.5,1.3,1.2,2.2,3.7,28.2,457.2,319.1
1/1/1991 0:00,58.6,1845.4,35.1,11.8,0,456,36.8,7.6,534.9,277.7,478.5,2224.5,15.4,99.4,50.1,3134.3,7165.1,1806.3,102,479,491,654,318,38,355,1708,543,2.47,3.73,2.41,2.44,434,538,35000,55772,300,19500,82.7,1.5,5.4,5.6,0.9,7.9,17.2,3.2,1.3,1.2,2.1,3.6,26.5,462.7,323.4
1/1/1992 0:00,62.6,1928.9,35.5,11.6,0,469.9,40.3,8.9,549.5,265.5,482.7,2211.3,14,100.6,49.1,3165,7185.8,1809.5,107,513,539,663,328,38,356,1789,562,2.57,4.05,1.97,2.52,434,538,33500,52972,300,18200,81.3,1.5,5.4,5.3,1.2,8.6,17,3.2,1.3,1.2,1.9,3.6,25.9,500.9,359.7
1/1/1993 0:00,68.4,1949.4,34.2,11.8,0,469.5,41,7.7,570.3,238.7,498.1,2206.1,13,100,48.6,3135.1,7190.4,1849.2,98,471,476,654,310,37,355,1713,559,2.5,3.64,2.45,2.52,434,524,32000,50008,300,16750,80,1.4,5.5,5.4,3.8,7.2,19,3,1.3,1.2,1.8,3.2,25,515.7,358.4
1/1/1994 0:00,77.2,2099.9,34.8,11.7,47.6,479.9,42,7.3,606.4,211.5,502.3,2224.4,11.6,101.6,49.3,3192.1,7274,1857.5,94,459,560,670,314,38,365,1760,524,2.57,4.15,2.47,2.44,400,512,30000,46542,250,15380,79.9,1.4,5.6,7.5,6.1,8,23,2.9,1.3,1.2,1.7,2.8,24.1,550.3,387.1
1/1/1995 0:00,83.1,2248.2,35.5,11.9,48.5,477,41,8.5,635.7,192.7,504.6,2258.3,10.6,102.3,49.4,3235.4,7406.9,1913.2,85,409,517,638,301,36,371,1713,538,2.52,3.85,2.51,2.46,400,500,28000,43200,300,14000,77.7,1.4,5.7,11.8,6.5,7.9,27.4,2.9,1.2,1.1,1.6,2.5,23.5,565.4,433.2
1/1/1996 0:00,89.2,2431.7,36.9,11.9,50.3,486,38,7.4,676.9,178.7,528.1,2341.6,9.4,105.1,58.1,3315.5,7662.2,2005.1,90,450,592,673,324,37,380,1871,582,2.66,4.2,2.54,2.53,400,500,26000,40100,300,12900,78.2,1.4,5.8,9.1,7.7,7.7,26.1,2.9,1.2,1.1,1.6,2.2,22.6,597.4,457.2
1/1/1997 0:00,102.9,2573,39.1,11.7,53.2,498,30,6,652.8,175.2,540.9,2326.8,9,106.3,54.5,3387.7,7707,1992.5,98,494,575,686,322,37,387,1880,609,2.72,4.24,2.55,2.67,400,450,24000,37535,260,12425,77.8,1.3,5.8,8.1,5.7,7.9,22.7,2.9,1.2,1.1,1.5,2,21.9,618.2,451.8
1/1/1998 0:00,101.8,2628.1,38.4,11.6,51.9,510.3,23.1,2.5,621.2,166.6,543.2,2281.1,8.5,106.8,48.5,3398.2,7694.9,2015.6,104,523,606,679,316,37,394,1872,589,2.74,4.35,2.55,2.62,400,450,22000,34535,260,11425,77.9,1.3,5.9,7.4,6.1,7.5,22.4,2.7,1.2,1.1,1.5,1.9,21.9,636,448.4
1/1/1999 0:00,108.7,2797.8,39.9,11.5,54.8,520,42.7,1.7,516.6,170.7,546.4,2159.9,8.2,108.3,42.1,3469.1,7694.2,2065.2,102,523,607,683,312,36,409,1871,586,2.78,4.26,2.56,2.65,400,450,20000,31960,185,10925,77.6,1.3,6,6.3,6.2,7.5,21.5,2.5,1.2,1.1,1.5,1.8,21.7,650,455.5
1/1/2000 0:00,118.3,3010.2,41.1,11.1,56.7,545.6,52.2,1.1,483.8,175,564.1,2186,8.2,108.2,43,3503.6,7853.6,2164,95,489,586,688,303,37,397,1840,583,2.76,4.31,2.62,2.66,400,450,20000,31535,185,10500,77.3,1.3,6.1,6.3,7.3,7.3,22.3,2.5,1.2,1.1,1.5,1.8,21.7,698,468.6
Labels:
combining data,
reusability,
trends,
visualization
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment