The table contains clean data on 14,606 customers with 45 columns including consumption, forecasted values, pricing, and churn status. It can be used for analyzing customer behavior, predicting churn, and optimizing sales strategies based on channel sales and consumption patterns. (AI-generated)
id, channel_sales, cons_12m, cons_gas_12m, cons_last_month, date_activ, date_end, date_modif_prod, date_renewal, forecast_cons_12m, forecast_cons_year, forecast_discount_energy, forecast_meter_rent_12m, forecast_price_energy_off_peak, forecast_price_energy_peak, forecast_price_pow_off_peak, has_gas, imp_cons, margin_gross_pow_ele, margin_net_pow_ele, ...