Online Food Dataset

Demographics & Locations in Online Food Ordering

@kaggle.sudarshan24byte_online_food_dataset

Table List

1 table(12.82 KB)

Onlinefoods

@kaggle.sudarshan24byte_online_food_dataset.onlinefoods

12.82 KB
388 rows
13 columns

age Age	gender Gender	marital_status Marital Status	occupation Occupation	monthly_income Monthly Income	educational_qualifications Educational Qualifications	family_size Family Size	latitude Latitude	longitude Longitude	pin_code Pin Code	output Output	feedback Feedback	unnamed_12 Unnamed: 12
20	Female	Single	Student	No Income	Post Graduate	4	12.9766	77.5993	560001	Yes	Positive	Yes
24	Female	Single	Student	Below Rs.10000	Graduate	3	12.977	77.5773	560009	Yes	Positive	Yes
22	Male	Single	Student	Below Rs.10000	Post Graduate	3	12.9551	77.6593	560017	Yes	Negative	Yes
22	Female	Single	Student	No Income	Graduate	6	12.9473	77.5616	560019	Yes	Positive	Yes
22	Male	Single	Student	Below Rs.10000	Post Graduate	4	12.985	77.5533	560010	Yes	Positive	Yes
27	Female	Married	Employee	More than 50000	Post Graduate	2	12.9299	77.6848	560103	Yes	Positive	Yes
22	Male	Single	Student	No Income	Graduate	3	12.977	77.5773	560009	Yes	Positive	Yes
24	Female	Single	Student	No Income	Post Graduate	3	12.9828	77.6131	560042	Yes	Positive	Yes
23	Female	Single	Student	No Income	Post Graduate	2	12.9766	77.5993	560001	Yes	Positive	Yes
23	Female	Single	Student	No Income	Post Graduate	4	12.9854	77.7081	560048	Yes	Positive	Yes


CREATE TABLE onlinefoods (
  "age" BIGINT,
  "gender" VARCHAR,
  "marital_status" VARCHAR,
  "occupation" VARCHAR,
  "monthly_income" VARCHAR,
  "educational_qualifications" VARCHAR,
  "family_size" BIGINT,
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "pin_code" BIGINT,
  "output" VARCHAR,
  "feedback" VARCHAR,
  "unnamed_12" VARCHAR
);