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@dheeraj1509
dheeraj1509 / uber_data.csv
Created May 1, 2023 00:03
Date Start_destination End_destination Am_timings Midday_timings Evening_timings Mid_nigh_timings
2020-08-29 Sanchar Nagar MCECHS Layout Mariyappana Palya 14 27 28 13
2021-02-28 Ramaswamipalya Sampangi Rama Nagar 12 34 29 18
2020-05-16 Vignana Kendra Pai Layout 20 38 26 16
2021-08-29 Tippenahalli Old Airport Road 16 36 27 25
2020-05-26 Poorna Pragna Layout Malleswaram West 20 40 25 20
2022-04-08 Mission Road Amaravathi Layout-Peenya 15 29 27 10
2020-08-11 Kudlu Reddypalya 15 29 26 23
2020-11-20 Srirampura Mathrushree Layout 20 33 28 20
2020-10-08 Madhavan Park Srinidhi Layout 19 32 26 18
@dheeraj1509
dheeraj1509 / CitiesUsa.csv
Created April 27, 2023 01:08
zip_code latitude longitude city state county
00501 40.922326 -72.637078 Holtsville NY Suffolk
00544 40.922326 -72.637078 Holtsville NY Suffolk
00601 18.165273 -66.722583 Adjuntas PR Adjuntas
00602 18.393103 -67.180953 Aguada PR Aguada
00603 18.455913 -67.14578 Aguadilla PR Aguadilla
00604 18.49352 -67.135883 Aguadilla PR Aguadilla
00605 18.465162 -67.141486 Aguadilla PR Aguadilla
00606 18.172947 -66.944111 Maricao PR Maricao
00610 18.288685 -67.139696 Anasco PR Anasco
@dheeraj1509
dheeraj1509 / CitiesInUSA.csv
Created April 27, 2023 00:48
We can't make this file beautiful and searchable because it's too large.
zip_code,latitude,longitude,city,state,county
00501,40.922326,-72.637078,Holtsville,NY,Suffolk
00544,40.922326,-72.637078,Holtsville,NY,Suffolk
00601,18.165273,-66.722583,Adjuntas,PR,Adjuntas
00602,18.393103,-67.180953,Aguada,PR,Aguada
00603,18.455913,-67.14578,Aguadilla,PR,Aguadilla
00604,18.49352,-67.135883,Aguadilla,PR,Aguadilla
00605,18.465162,-67.141486,Aguadilla,PR,Aguadilla
00606,18.172947,-66.944111,Maricao,PR,Maricao
00610,18.288685,-67.139696,Anasco,PR,Anasco
@dheeraj1509
dheeraj1509 / UsEmployement.csv
Created April 27, 2023 00:15
We can make this file beautiful and searchable if this error is corrected: It looks like row 6 should actually have 24 columns, instead of 9 in line 5.
year,nonfarm,private,goods_producing,service_providing,private_service_providing,mining_and_logging,construction,manufacturing,durable_goods,nondurable_goods,trade_transportation_utilties,wholesale_trade,retail_trade,transportation_and_warehousing,utilities,information,financial_activities,professional_and_business_services,education_and_health_services,leisure_and_hospitality,other_services,government,nonfarm_change
1901,135450,113603,22467,112983,91136,656,7601,14210,8982,5228,26162,5840.4,15351.5,4420,549.8,3052,8307,17299,17946,12945,5425,21847,282
1902,135762,113884,22535,113227,91349,662,7664,14209,8986,5223,26196,5854.8,15361.3,4429.4,550.1,3052,8332,17365,17998,12980,5426,21878,312
1903,136059,114156,22572,113487,91584,669,7689,14214,9000,5214,26239,5873.3,15388,4429.7,547.5,3055,8348,17438,18045,13034,5425,21903,297
1904,136227,114308,22631,113596,91677,679,7726,14226,9020,5206,26230,5886.9,15348.5,4445.4,548.9,3046,8369,17462,18070,13074,5426,21919,168
1905,136258,114332,22597,113661,91735,681,7713,
@dheeraj1509
dheeraj1509 / disasters.csv
Created April 10, 2023 06:02
Entity Year Deaths
All natural disasters 1900 1267360
All natural disasters 1901 200018
All natural disasters 1902 46037
All natural disasters 1903 6506
All natural disasters 1905 22758
All natural disasters 1906 42970
All natural disasters 1907 1325641
All natural disasters 1908 75033
All natural disasters 1909 1511524
@dheeraj1509
dheeraj1509 / flights.csv
Created April 5, 2023 19:29
We can't make this file beautiful and searchable because it's too large.
date,delay,distance,origin,destination
01010001,14,405,MCI,MDW
01010530,-11,370,LAX,PHX
01010540,5,389,ONT,SMF
01010600,-5,337,OAK,LAX
01010600,3,303,MSY,HOU
01010605,5,236,LAS,LAX
01010610,-4,405,MDW,MCI
01010615,-2,188,RNO,SJC
01010615,0,197,FLL,TPA
@dheeraj1509
dheeraj1509 / CocidData.csv
Last active April 4, 2023 23:44
Country/Region Confirmed Deaths Recovered Active New cases New deaths New recovered Deaths / 100 Cases Recovered / 100 Cases Deaths / 100 Recovered Confirmed last week 1 week change 1 week % increase WHO Region
Western Sahara 10 1 8 1 0 0 0 10 80 12.5 10 0 0 Africa
Holy See 12 0 12 0 0 0 0 0 100 0 12 0 0 Europe
Greenland 14 0 13 1 1 0 0 0 92.86 0 13 1 7.69 Europe
Saint Kitts and Nevis 17 0 15 2 0 0 0 0 88.24 0 17 0 0 Americas
Dominica 18 0 18 0 0 0 0 0 100 0 18 0 0 Americas
Laos 20 0 19 1 0 0 0 0 95 0 19 1 5.26 Western Pacific
Grenada 23 0 23 0 0 0 0 0 100 0 23 0 0 Americas
Saint Lucia 24 0 22 2 0 0 0 0 91.67 0 23 1 4.35 Americas
Timor-Leste 24 0 0 24 0 0 0 0 0 0 24 0 0 South-East Asia
@dheeraj1509
dheeraj1509 / SampleSalesData.csv
Created March 12, 2023 22:02
Year Sales
2010 845698
2011 534688
2012 683451
2013 684515
2014 126878
2015 874532
2016 746841
2017 845145
2018 584514
@dheeraj1509
dheeraj1509 / iris.csv
Created March 12, 2023 03:23
sepal_length sepal_width petal_length petal_width species
5.1 3.5 1.4 0.2 setosa
4.9 3.0 1.4 0.2 setosa
4.7 3.2 1.3 0.2 setosa
4.6 3.1 1.5 0.2 setosa
5.0 3.6 1.4 0.2 setosa
5.4 3.9 1.7 0.4 setosa
4.6 3.4 1.4 0.3 setosa
5.0 3.4 1.5 0.2 setosa
4.4 2.9 1.4 0.2 setosa
@dheeraj1509
dheeraj1509 / PenguinDataSet.csv
Created March 8, 2023 20:03
species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex
Adelie Torgersen 39.1 18.7 181 3750 male
Adelie Torgersen 39.5 17.4 186 3800 female
Adelie Torgersen 40.3 18 195 3250 female
Adelie Torgersen 36.7 19.3 193 3450 female
Adelie Torgersen 39.3 20.6 190 3650 male
Adelie Torgersen 38.9 17.8 181 3625 female
Adelie Torgersen 39.2 19.6 195 4675 male
Adelie Torgersen 41.1 17.6 182 3200 female
Adelie Torgersen 38.6 21.2 191 3800 male