This project involves cleaning a bank personal loan marketing campaign dataset, setting up a PostgreSQL database to store this campaign's data, and designing the schema in a way that would allow data from future campaigns to be easily imported.
The dataset is a csv file located at "./Data/bank_marketing.csv".
The database design script is a .sql because banks are strict on security.
The database base will contain three tables in the format below
| column | data type | description |
|---|---|---|
id |
serial |
Client ID - primary key |
age |
integer |
Client's age in years |
job |
text |
Client's type of job |
marital |
text |
Client's marital status |
education |
text |
Client's level of education |
credit_default |
boolean |
Whether the client's credit is in default |
housing |
boolean |
Whether the client has an existing housing loan (mortgage) |
loan |
boolean |
Whether the client has an existing personal loan |
| column | data type | description |
|---|---|---|
campaign_id |
serial |
Campaign ID - primary key |
client_id |
serial |
Client ID - references id in the client table |
number_contacts |
integer |
Number of contact attempts to the client in the current campaign |
contact_duration |
integer |
Last contact duration in seconds |
pdays |
integer |
Number of days since contact in previous campaign (999 = not previously contacted) |
previous_campaign_contacts |
integer |
Number of contact attempts to the client in the previous campaign |
previous_outcome |
boolean |
Outcome of the previous campaign |
campaign_outcome |
boolean |
Outcome of the current campaign |
last_contact_date |
date |
Last date the client was contacted |
| column | data type | description |
|---|---|---|
client_id |
serial |
Client ID - references id in the client table |
emp_var_rate |
float |
Employment variation rate (quarterly indicator) |
cons_price_idx |
float |
Consumer price index (monthly indicator) |
euribor_three_months |
float |
Euro Interbank Offered Rate (euribor) three month rate (daily indicator) |
number_employed |
float |
Number of employees (quarterly indicator) |