Case Study - statistical Analysis

Campaign Data Case Study

The data pertains to a Direct Marketing campaign of a European Banking institution. The marketing campaigns were conducted through phone calls. Often, more than one contact to the same client was required, in order to access if the product subscribed (bank term deposit) would be ('yes') or ('no'). The Banking Institution wants to understand what are the parameters which may influence booking a term deposit. They want to know if a person will book term deposit or not.

You are required to analyse the data and:

1. Define the problem statements.

2. In relation with the problem statement, define process steps.

3. Define data into nominal, ordinal or interval scale.

4. Define process for handling missing values.

5. Show interesting patterns in data with respect to problem statement and in general.

6. Draw inferences from the data based on your understanding.

Variables Description:

1 - age (numeric)

2 - job: type of job (categorical:

· Admin,

· blue-collar,

· entrepreneur,

· housemaid,

· management,

· retired,

· self-employed,

· services,

· student,

· technician,

· unemployed,

· unknown

3 - marital: marital status (categorical:

· divorced,

· married,

· single,

· unknown

4 - education (categorical:

· basic.4y,

· basic.6y,

· basic.9y,

· high.school,

· illiterate,

· professional.course,

· university.degree,

· unknown

5 - default: has credit in default? (categorical:

· no,

· yes,

· unknown

6 - housing: has housing loan? (categorical:

· no,

· yes,

· unknown

7 - loan: has personal loan? (categorical:

· no,

· yes,

· unknown

8 - contact: contact communication type (categorical:

· cellular,

· telephone

9 - month: last contact month of year (categorical:

· jan,

· feb,

· mar,

· ...,

· dec

10 - day_of_week: last contact day of the week (categorical:

· mon,

· tue,

· wed,

· thu,

· fri

11 - duration: last contact duration, in seconds (numeric). Yet, the duration is not known before a call is performed. Also, after the end of the call y is obviously known.

12 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)

13 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric; 999 means client was not previously contacted)

14 - previous: number of contacts performed before this campaign and for this client (numeric)

15 - poutcome: outcome of the previous marketing campaign (categorical: failure,nonexistent,success)

# social and economic context attributes

16 - emp.var.rate: employment variation rate - quarterly indicator (numeric)

17 - cons.price.idx: consumer price index - monthly indicator (numeric)

18 - cons.conf.idx: consumer confidence index - monthly indicator (numeric)

19 - euribor3m: euribor 3 month rate - daily indicator (numeric)

20 - nr.employed: number of employees - quarterly indicator (numeric)

# Response

21 - y - has the client subscribed a term deposit? (binary: yes,no)