Zomato Database

A centralized repository of information for seamless food delivery operations

@kaggle.anas123siddiqui_zomato_database

Table List

5 tables(50.84 MB)

Food

Orders

Restaurant

Users

Users

@kaggle.anas123siddiqui_zomato_database.users

4.39 MB
100000 rows
12 columns

unnamed_0 Unnamed: 0	user_id User Id	name Name	email Email	password Password	age Age	gender Gender	marital_status Marital Status	occupation Occupation	monthly_income Monthly Income	educational_qualifications Educational Qualifications	family_size Family Size
	1	Claire Ferguson	fordanthony@example.net	NKz0fWDh!5	20	Female	Single	Student	No Income	Post Graduate	4
1	2	Jennifer Young	ann96@example.com	+i5Q91jt!s	24	Female	Single	Student	Below Rs.10000	Graduate	3
2	3	Jermaine Roberson	uwalker@example.org	eO4GqGusF(	22	Male	Single	Student	Below Rs.10000	Post Graduate	3
3	4	Rachel Carpenter	kimberlypatterson@example.net	d^c7O6odaS	22	Female	Single	Student	No Income	Graduate	6
4	5	Shawn Parker	daniellebennett@example.com	8J#E5RMl1o	22	Male	Single	Student	Below Rs.10000	Post Graduate	4
5	6	Timothy Clark	brettsantana@example.com	qOJ0NA0Y$4	27	Female	Married	Employee	More than 50000	Post Graduate	2
6	7	Alexander Lucas	susan58@example.org	(^+21Yv3Uv	22	Male	Single	Student	No Income	Graduate	3
7	8	Christopher Curry	brookesmith@example.net	^+5fP5zm(L	24	Female	Single	Student	No Income	Post Graduate	3
8	9	Daniel Mercado	imyers@example.com	e$DJ2tRoJ#	23	Female	Single	Student	No Income	Post Graduate	2
9	10	Tony Lawrence	lwelch@example.com	&3emIjZp#O	23	Female	Single	Student	No Income	Post Graduate	4


CREATE TABLE users (
  "unnamed_0" BIGINT,
  "user_id" BIGINT,
  "name" VARCHAR,
  "email" VARCHAR,
  "password" VARCHAR,
  "age" BIGINT,
  "gender" VARCHAR,
  "marital_status" VARCHAR,
  "occupation" VARCHAR,
  "monthly_income" VARCHAR,
  "educational_qualifications" VARCHAR,
  "family_size" BIGINT
);