Baselight

Zomato Bangalore Data (Clean)

The original Zomato dataset, but cleaned. Yes, no redundancies.

@kaggle.saranimje_zomato_data_clean

Location
@kaggle.saranimje_zomato_data_clean.location

  • 9.62 KB
  • 93 rows
  • 7 columns
index

Index

location

Location

density

Density

rent

Rent

rate

Rate

latitude

Latitude

longitude

Longitude

1BTM5124101402.74098360712.91777.61
2HSR2523146002.93860483612.91277.645
3Koramangala 5th Block2504123003.70986421712.93577.62
4JP Nagar2235100002.82348993312.90677.586
5Whitefield2144170002.67229477612.9777.75
6Indiranagar2083150003.39443110912.97877.641
7Jayanagar1926115003.22481827612.93177.584
8Marathahalli184687002.76868905712.95777.701
9Bannerghatta Road1630124002.65748466312.7677.656
10Bellandur1286124002.77449455712.9377.678

CREATE TABLE location (
  "index" BIGINT,
  "location" VARCHAR,
  "density" BIGINT,
  "rent" BIGINT,
  "rate" DOUBLE,
  "latitude" DOUBLE,
  "longitude" DOUBLE
);

Share link

Anyone who has the link will be able to view this.