Skip to content

Instantly share code, notes, and snippets.

@dksivagis

dksivagis/README.md

Created June 30, 2014 10:53
Show Gist options
  • Save dksivagis/043d377857013ce9df77 to your computer and use it in GitHub Desktop.
Save dksivagis/043d377857013ce9df77 to your computer and use it in GitHub Desktop.
Download ZIP
India Top 100 Cities 2001
Raw
README.md

README is empty

Raw
current.csv
Name of the city 2001 population latitude longitude Per_pop
Greater mumbai 16434386 19.03175 72.84871 11.40243982
Delhi 13677430 28.637695 77.205819 9.489619659
Kolkata 13205697 22.5697222 88.3697222 9.16232376
Chennai 6560242 13.06 80.2833333 4.551600809
Hyderabad 5742036 17.3752778 78.4744444 3.983916402
Bangalore 5701446 12.9833333 77.583 3.955754411
Ahmadabad 4525013 23.0333333 72.6166667 3.139526382
Pune 3760636 18.5333333 73.8666667 2.609189396
Surat 2811614 21.1666667 72.833 1.950742756
Kanpur 2715555 26.4666667 80.35 1.884095485
Jaipur 2322575 26.9166667 75.82 1.611439677
Lucknow 2245509 26.849428 80.917 1.557970054
Nagpur 2129500 21.155761 79.089 1.477481154
Patna 1697976 25.613859 85.16666667 1.178082902
Indore 1516918 22.7166667 75.833 1.052461966
Vadodara 1491045 22.309985 73.18 1.034510865
Coimbatore 1461139 10.997479 76.965408 1.013761604
Bhopal 1458416 23.2666667 77.4 1.011872343
Ludhiana 1398467 30.906093 75.873 0.970278768
Kochi 1355972 9.939769 76.261253 0.940795058
Visakhapatnam 1345938 17.715014 83.311 0.933833308
Agra 1331339 27.1833333 78.017 0.923704289
Varanasi 1203961 25.3333333 83 0.835327395
Madurai 1203095 9.9333333 78.117 0.834726551
Meerut 1161716 28.9833333 77.7 0.806017139
Nashik 1152326 20.000659 73.781 0.799502206
Jamshedpur 1104713 22.77849 86.209 0.766467546
Jabalpur 1098000 23.1666667 79.95 0.761809959
Asansol 1067369 23.6833333 86.983 0.740557681
Dhanbad 1065327 23.786978 86.435 0.739140909
Faridabad 1055938 28.4333333 77.317 0.732626671
Allahabad 1042229 25.44297 81.828 0.723115147
Amritsar 1003917 31.6330556 74.866 0.696533669
Rajkot 1003015 22.296909 70.798 0.695907847
Vijaywada 994049 16.5166667 80.617 0.689687093
Srinagar 988210 34.0833333 74.817 0.685635901
Ghaziabad 968256 28.6666667 77.443 0.671791497
Durg 927864 21.1833333 81.2833333 0.643766881
Aurangabad 892483 19.8833333 75.333 0.619218978
Thiruvananthapuram 889635 8.503696 76.952186 0.61724299
Kozhikode 880247 11.25 75.78 0.610729445
Solapur 872478 17.6833333 75.917 0.605339189
Tiruchirappalli 866354 10.8166667 78.683 0.60109026
Gwalior 865548 26.190485 78.146 0.600531044
Ranchi 863495 23.356986 85.335 0.59910664
Jodhpur 860818 26.2866667 73.03 0.597249294
Guwahati 818809 26.1833333 91.7333333 0.568102778
Chandigarh 808515 30.737 76.787 0.560960637
Mysore 799228 12.3072222 76.65 0.554517167
Hubli-dharwad 786195 15.344531 75.135 0.545474664
Salem 751438 11.781943 78.066 0.521359701
Bareilly 748353 28.358658 79.429 0.519219279
Jalandhar 714077 31.3255556 75.579 0.495438042
Kota 703150 25.177447 75.836735 0.487856715
Raipur 700113 21.2333333 81.633 0.485749595
Aligarh 669087 27.8833333 78.083 0.46422326
Bhubaneswar 658220 20.2333333 85.833 0.456683562
Moradabad 641583 28.85 78.81666667 0.445140545
Gorakhpur 622701 26.75 83.4 0.432039912
Bhiwandi 621427 19.26897621 73.04605865 0.43115599
Jammu 612163 32.733333 74.866667 0.424728479
Cuttack 587182 20.46666667 85.9 0.407396262
Warangal 579216 17.96666667 79.66666667 0.401869323
Jamnagar 556956 22.45 70.11666667 0.386424979
Tiruppur 550826 11.08333333 77.33333333 0.382171887
Amravati 549510 20.93333333 77.8 0.381258826
Mangalore 539387 12.86666667 74.88333333 0.374235326
Dehradun 530263 30.31666667 78.06666667 0.367904949
Bikaner 529690 28.01666667 73.36666667 0.367507393
Bhavnagar 517708 21.76666667 72.18333333 0.359194089
Belgaum 506480 15.86666667 74.56666667 0.351403923
Kolhapur 505541 16.7 74.26666667 0.35075243
Bokaro steel city 497780 23.660563 86.147232 0.345367724
Siliguri 472374 26.7 88.41666667 0.327740635
Sangli-miraj kupwad 447774 16.86666667 74.6 0.310672762
Tirunelveli 433352 8.733333333 77.73333333 0.300666548
Firozabad 432866 27.91666667 78.86666667 0.300329353
Ujjain 431162 23.1833 75.7667 0.299147091
Nanded-waghala 430733 19.15 77.45 0.298849444
Rajahmundry 413616 17 81.8 0.286973395
Malegaon 409403 20.552036 74.53198 0.284050348
Vellore 386746 12.9166667 79.81333333 0.26833056
Panipat* 354148 29.387261 76.97073 0.245713546
Bilaspur 335293 22.08333333 82.21666667 0.232631645
Mathura 323315 27.46666667 77.68333333 0.224321117
Sagar 308922 23.8351 78.7455 0.214335024
Shimoga 274352 13.93333333 75.63333333 0.190349805
Kharagpur 272865 22.5 87.33333333 0.189318101
Shillong 267662 25.567 91.883 0.185708176
Imphal 250234 24.73333333 93.96666667 0.173616351
Dewas 231672 22.96666667 78.1 0.160737738
Satna 229307 24.56666667 80.91666667 0.159096864
Gurgaon 228820 28.61666667 77.06666667 0.158758975
Ganganagar 222858 29.81666667 73.83333333 0.154622444
Agartala 189998 23.8333 91.4666667 0.131823651
Raiganj 175047 25.62 88.12 0.121450408
Pathankot 168485 32.28333333 75.7 0.116897587
Morena 150959 26.49961281 78.00327301 0.104737768
Jorhat 137814 26.75 94.21666667 0.095617557
Saharsa 125167 25.91666667 86.58333333 0.086842866
Raw
datapackage.json
{
"name": "India Top 100 Cities 2001",
"state": "active",
"created": "2014-06-30T10:53:25.989Z",
"sources": [
{}
],
"profiles": {
"dataexplorer": "0.9"
},
"scripts": [
{
"id": "main.js",
"path": "main.js"
}
],
"views": [
{
"id": "grid",
"label": "Grid",
"type": "SlickGrid",
"state": {
"gridOptions": {
"editable": true,
"enabledAddRow": true,
"enabledDelRow": true,
"enableReOrderRow": true,
"autoEdit": false,
"enableCellNavigation": true
}
}
},
{
"id": "graph",
"label": "Graph",
"type": "Graph"
},
{
"id": "map",
"label": "Map",
"type": "Map"
}
],
"id": "dataexplorer-537443",
"resources": [
{
"backend": "csv",
"id": "India Top 100 Cities 2001",
"filename": "India Top 100 Cities 2001.csv",
"path": "current.csv",
"schema": {
"fields": [
{
"id": "Name of the city",
"label": "Name of the city",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "2001 population",
"label": "2001 population",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "latitude",
"label": "latitude",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "longitude",
"label": "longitude",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "Per_pop",
"label": "Per_pop",
"type": "string",
"format": null,
"is_derived": false
}
]
}
},
{
"backend": "csv",
"id": "India Top 100 Cities 2001-original",
"filename": "India Top 100 Cities 2001.csv",
"path": "original.csv",
"schema": {
"fields": [
{
"id": "Name of the city",
"label": "Name of the city",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "2001 population",
"label": "2001 population",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "latitude",
"label": "latitude",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "longitude",
"label": "longitude",
"type": "string",
"format": null,
"is_derived": false
},
{
"id": "Per_pop",
"label": "Per_pop",
"type": "string",
"format": null,
"is_derived": false
}
]
}
}
]
}
Raw
main.js
loadDataset("current", function (error, dataset) {
// error will be null unless there is an error
// dataset is a Recline memory store (http://reclinejs.com//docs/src/backend.memory.html).
console.log(dataset);
});
Raw
original.csv
Greater mumbai 16434386 19.03175 72.84871 11.40243982
Delhi 13677430 28.637695 77.205819 9.489619659
Kolkata 13205697 22.5697222 88.3697222 9.16232376
Chennai 6560242 13.06 80.2833333 4.551600809
Hyderabad 5742036 17.3752778 78.4744444 3.983916402
Bangalore 5701446 12.9833333 77.583 3.955754411
Ahmadabad 4525013 23.0333333 72.6166667 3.139526382
Pune 3760636 18.5333333 73.8666667 2.609189396
Surat 2811614 21.1666667 72.833 1.950742756
Kanpur 2715555 26.4666667 80.35 1.884095485
Jaipur 2322575 26.9166667 75.82 1.611439677
Lucknow 2245509 26.849428 80.917 1.557970054
Nagpur 2129500 21.155761 79.089 1.477481154
Patna 1697976 25.613859 85.16666667 1.178082902
Indore 1516918 22.7166667 75.833 1.052461966
Vadodara 1491045 22.309985 73.18 1.034510865
Coimbatore 1461139 10.997479 76.965408 1.013761604
Bhopal 1458416 23.2666667 77.4 1.011872343
Ludhiana 1398467 30.906093 75.873 0.970278768
Kochi 1355972 9.939769 76.261253 0.940795058
Visakhapatnam 1345938 17.715014 83.311 0.933833308
Agra 1331339 27.1833333 78.017 0.923704289
Varanasi 1203961 25.3333333 83 0.835327395
Madurai 1203095 9.9333333 78.117 0.834726551
Meerut 1161716 28.9833333 77.7 0.806017139
Nashik 1152326 20.000659 73.781 0.799502206
Jamshedpur 1104713 22.77849 86.209 0.766467546
Jabalpur 1098000 23.1666667 79.95 0.761809959
Asansol 1067369 23.6833333 86.983 0.740557681
Dhanbad 1065327 23.786978 86.435 0.739140909
Faridabad 1055938 28.4333333 77.317 0.732626671
Allahabad 1042229 25.44297 81.828 0.723115147
Amritsar 1003917 31.6330556 74.866 0.696533669
Rajkot 1003015 22.296909 70.798 0.695907847
Vijaywada 994049 16.5166667 80.617 0.689687093
Srinagar 988210 34.0833333 74.817 0.685635901
Ghaziabad 968256 28.6666667 77.443 0.671791497
Durg 927864 21.1833333 81.2833333 0.643766881
Aurangabad 892483 19.8833333 75.333 0.619218978
Thiruvananthapuram 889635 8.503696 76.952186 0.61724299
Kozhikode 880247 11.25 75.78 0.610729445
Solapur 872478 17.6833333 75.917 0.605339189
Tiruchirappalli 866354 10.8166667 78.683 0.60109026
Gwalior 865548 26.190485 78.146 0.600531044
Ranchi 863495 23.356986 85.335 0.59910664
Jodhpur 860818 26.2866667 73.03 0.597249294
Guwahati 818809 26.1833333 91.7333333 0.568102778
Chandigarh 808515 30.737 76.787 0.560960637
Mysore 799228 12.3072222 76.65 0.554517167
Hubli-dharwad 786195 15.344531 75.135 0.545474664
Salem 751438 11.781943 78.066 0.521359701
Bareilly 748353 28.358658 79.429 0.519219279
Jalandhar 714077 31.3255556 75.579 0.495438042
Kota 703150 25.177447 75.836735 0.487856715
Raipur 700113 21.2333333 81.633 0.485749595
Aligarh 669087 27.8833333 78.083 0.46422326
Bhubaneswar 658220 20.2333333 85.833 0.456683562
Moradabad 641583 28.85 78.81666667 0.445140545
Gorakhpur 622701 26.75 83.4 0.432039912
Bhiwandi 621427 19.26897621 73.04605865 0.43115599
Jammu 612163 32.733333 74.866667 0.424728479
Cuttack 587182 20.46666667 85.9 0.407396262
Warangal 579216 17.96666667 79.66666667 0.401869323
Jamnagar 556956 22.45 70.11666667 0.386424979
Tiruppur 550826 11.08333333 77.33333333 0.382171887
Amravati 549510 20.93333333 77.8 0.381258826
Mangalore 539387 12.86666667 74.88333333 0.374235326
Dehradun 530263 30.31666667 78.06666667 0.367904949
Bikaner 529690 28.01666667 73.36666667 0.367507393
Bhavnagar 517708 21.76666667 72.18333333 0.359194089
Belgaum 506480 15.86666667 74.56666667 0.351403923
Kolhapur 505541 16.7 74.26666667 0.35075243
Bokaro steel city 497780 23.660563 86.147232 0.345367724
Siliguri 472374 26.7 88.41666667 0.327740635
Sangli-miraj kupwad 447774 16.86666667 74.6 0.310672762
Tirunelveli 433352 8.733333333 77.73333333 0.300666548
Firozabad 432866 27.91666667 78.86666667 0.300329353
Ujjain 431162 23.1833 75.7667 0.299147091
Nanded-waghala 430733 19.15 77.45 0.298849444
Rajahmundry 413616 17 81.8 0.286973395
Malegaon 409403 20.552036 74.53198 0.284050348
Vellore 386746 12.9166667 79.81333333 0.26833056
Panipat* 354148 29.387261 76.97073 0.245713546
Bilaspur 335293 22.08333333 82.21666667 0.232631645
Mathura 323315 27.46666667 77.68333333 0.224321117
Sagar 308922 23.8351 78.7455 0.214335024
Shimoga 274352 13.93333333 75.63333333 0.190349805
Kharagpur 272865 22.5 87.33333333 0.189318101
Shillong 267662 25.567 91.883 0.185708176
Imphal 250234 24.73333333 93.96666667 0.173616351
Dewas 231672 22.96666667 78.1 0.160737738
Satna 229307 24.56666667 80.91666667 0.159096864
Gurgaon 228820 28.61666667 77.06666667 0.158758975
Ganganagar 222858 29.81666667 73.83333333 0.154622444
Agartala 189998 23.8333 91.4666667 0.131823651
Raiganj 175047 25.62 88.12 0.121450408
Pathankot 168485 32.28333333 75.7 0.116897587
Morena 150959 26.49961281 78.00327301 0.104737768
Jorhat 137814 26.75 94.21666667 0.095617557
Saharsa 125167 25.91666667 86.58333333 0.086842866
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment