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Data Description

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Ifan Anwar
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0% found this document useful (0 votes)
5 views1 page

Data Description

Uploaded by

Ifan Anwar
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Machine Translated by Google

client_data.csv

• id = client company identifier •


activity_new = category of the company's activity • channel_sales =
code of the sales channel • cons_12m = electricity
consumption of the past 12 months • cons_gas_12m = gas consumption of the
past 12 months • cons_last_month = electricity consumption of the last month
• date_activ = date of activation of the contract • date_end = registered date of the
end of the contract • date_modif_prod = date of the last
modification of the product • date_renewal = date of the next contract
renewal • forecast_cons_12m = predicted electricity consumption for the next 12
months • forecast_cons_year = predicted electricity consumption for
the next calendar year • forecast_discount_energy = predicted value of current discount •
forecast_meter_rent_12m = forecasted bill of meter rental for the next 2 months • forecast_price_energy_off_peak
= forecasted energy price for 1st period (off peak) • forecast_price_energy_peak =
predicted energy price for 2nd period (peak) • forecast_price_pow_off_peak = predicted power price for 1st
period (off peak) • has_gas = indicated if client is also a gas client • imp_cons = current paid consumption •
margin_gross_pow_ele = gross margin on power subscription • margin_net_pow_ele = net margin on
power subscription • nb_prod_act = number of active products and services • net_margin = total net margin
• num_years_antig = antiquity of the client (in number of years) •
origin_up = code of the electricity campaign the
customer first subscribed to • pow_max = subscribed power • churn = has the client
churned over the next 3 months

price_data.csv

• id = client company identifier • price_date


= reference date • price_off_peak_var =
price of energy for the 1st period (off peak) • price_peak_var = price of energy for the
2nd period (peak) • price_mid_peak_var = price of energy for the 3rd period (mid
peak) • price_off_peak_fix = price of power for the 1st period (off peak) • price_peak_fix =
price of power for the 2nd period (peak) • price_mid_peak_fix = price of power for the
3rd period (mid peak)

Note: some fields are hashed text strings. This preserves the privacy of the original data but the commercial meaning is
retained and so they may have predictive power

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