Name: Customer Segmentation
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Customer Segmentation

Context

An automobile company has plans to enter new markets with their existing products (P1, P2, P3, P4 and P5). After intensive market research, they’ve deduced that the behavior of new market is similar to their existing market.

Content

In their existing market, the sales team has classified all customers into 4 segments (A, B, C, D ). Then, they performed segmented outreach and communication for different segment of customers. This strategy has work exceptionally well for them. They plan to use the same strategy on new markets and have identified 2627 new potential customers.

You are required to help the manager to predict the right group of the new customers.

Acknowledgements

https://datahack.analyticsvidhya.com/contest/janatahack-customer-segmentation/#ProblemStatement

Inspiration

https://datahack.analyticsvidhya.com/contest/janatahack-customer-segmentation/#ProblemStatement

Tables

Sample Submission

@kaggle.vetrirah_customer.sample_submission

16.62 kB
2,627 rows
2 columns

CREATE TABLE sample_submission (
  "id" BIGINT,
  "segmentation" VARCHAR
);

Test

@kaggle.vetrirah_customer.test

32.21 kB
2,627 rows
10 columns

CREATE TABLE test (
  "id" BIGINT,
  "gender" VARCHAR,
  "ever_married" VARCHAR,
  "age" BIGINT,
  "graduated" VARCHAR,
  "profession" VARCHAR,
  "work_experience" DOUBLE,
  "spending_score" VARCHAR,
  "family_size" DOUBLE,
  "var_1" VARCHAR
);

Train

@kaggle.vetrirah_customer.train

86.7 kB
8,068 rows
11 columns

CREATE TABLE train (
  "id" BIGINT,
  "gender" VARCHAR,
  "ever_married" VARCHAR,
  "age" BIGINT,
  "graduated" VARCHAR,
  "profession" VARCHAR,
  "work_experience" DOUBLE,
  "spending_score" VARCHAR,
  "family_size" DOUBLE,
  "var_1" VARCHAR,
  "segmentation" VARCHAR
);