Dataset: Telecom Case Study

About this Dataset

Telecom Case Study

Context

A company can grow by targeting existing customers. This increases the total wallet share and is more cost-effective. Through a propensity model we are trying to identify the drivers which will result in a customer to most likely adopt a higher value plan

Content

There are 5000 rows of customer data with around 27 anonymized variables.

Tables

Rawdatafilev0–0

@kaggle.skylord_telecom_case_study.rawdatafilev0_0

64.65 KB
5000 rows
29 columns


CREATE TABLE rawdatafilev0_0 (
  "cust_id" BIGINT,
  "plan_chg_flag" VARCHAR,
  "var1" VARCHAR,
  "var2" VARCHAR,
  "var3" VARCHAR,
  "var4" BIGINT,
  "var5" VARCHAR,
  "var6" BIGINT,
  "var7" BIGINT,
  "var8" BIGINT,
  "var9" VARCHAR,
  "var10" VARCHAR,
  "var11" BIGINT,
  "var12" BIGINT,
  "var13" BIGINT,
  "var14" BIGINT,
  "var15" BIGINT,
  "var16" BIGINT,
  "var17" BIGINT,
  "var18" BIGINT,
  "var19" BIGINT,
  "var20" BIGINT,
  "var21" BIGINT,
  "var22" BIGINT,
  "var23" BIGINT,
  "var24" BIGINT,
  "var25" BIGINT,
  "var26" BIGINT,
  "var27" VARCHAR
);