Telco Customer Churn (11.1.3+)
Use Data Science to Reduce Churn and Boost Revenue
@kaggle.alfathterry_telco_customer_churn_11_1_3
Use Data Science to Reduce Churn and Boost Revenue
@kaggle.alfathterry_telco_customer_churn_11_1_3
CREATE TABLE telco (
"customer_id" VARCHAR,
"gender" VARCHAR,
"age" BIGINT,
"under_30" VARCHAR,
"senior_citizen" VARCHAR,
"married" VARCHAR,
"dependents" VARCHAR,
"number_of_dependents" BIGINT,
"country" VARCHAR,
"state" VARCHAR,
"city" VARCHAR,
"zip_code" BIGINT,
"latitude" DOUBLE,
"longitude" DOUBLE,
"population" BIGINT,
"quarter" VARCHAR,
"referred_a_friend" VARCHAR,
"number_of_referrals" BIGINT,
"tenure_in_months" BIGINT,
"offer" VARCHAR,
"phone_service" VARCHAR,
"avg_monthly_long_distance_charges" DOUBLE,
"multiple_lines" VARCHAR,
"internet_service" VARCHAR,
"internet_type" VARCHAR,
"avg_monthly_gb_download" BIGINT,
"online_security" VARCHAR,
"online_backup" VARCHAR,
"device_protection_plan" VARCHAR,
"premium_tech_support" VARCHAR,
"streaming_tv" VARCHAR,
"streaming_movies" VARCHAR,
"streaming_music" VARCHAR,
"unlimited_data" VARCHAR,
"contract" VARCHAR,
"paperless_billing" VARCHAR,
"payment_method" VARCHAR,
"monthly_charge" DOUBLE,
"total_charges" DOUBLE,
"total_refunds" DOUBLE,
"total_extra_data_charges" BIGINT,
"total_long_distance_charges" DOUBLE,
"total_revenue" DOUBLE,
"satisfaction_score" BIGINT,
"customer_status" VARCHAR,
"churn_label" VARCHAR,
"churn_score" BIGINT,
"cltv" BIGINT,
"churn_category" VARCHAR,
"churn_reason" VARCHAR
);
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