Mid - bootcamp project for Ironhack
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4 5 Project exploring data cleaning, Visualisation and Analysis of Credit Card for marketing strategy planning. 6 7
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- Project Outline 10
- The Data 11
- The Database 12
- Visualisation 13
- Statistical Analysis 14
- Delivering Insight 15
- Next Steps 16 17
18 19 This repository contains the group project by the Lily Potter team for the Ironhack Mid-Bootcamp Project. Our objective was to understand the features and other characteristics of the bank's customers comparing those who accept a credit card offer and those who do not. 20 21
22 23 The dataset was checked for duplicates. 24 The identifier field (Customer Number) was dropped. 25 The data columns were checked for null values. Null values were present in the numerical features were dropped since represent less than one percent of the total. 26 The data type of each column was checked. 27 The unique values and distribution of each categorical feature were checked. 28 The distributions of each numerical variable were checked. The data fields Credit Cards Held, Homes Owned, Household Size, Bank Accounts Open were of numeric data type but are in fact categoricals so they will be treated as categories in our analysis. 29 Numericals variables were checked for correlation un´sing heatmap and some were dropped due to high redundancies. 30 Data columns were renamed and stylized as snake_case. 31 Checking the target variable unique values we have seen that the data were strongly unbalanced. We will deal with this during the several iterations later. 32 33 34 35
36 37 The marketingcreditcard.csv file has been imported in to SQL workebench in order to answer to some questions related to the groupwork. 38 39
40 .sql query file with query results in file annotations. 41 42
43 No file chosen Attach files by dragging & dropping, selecting or pasting them. @tonyhathuc Commit changes Commit summary Create README.md Optional extended description Add an optional extended description… Commit directly to the main branch. Create a new branch for this commit and start a pull request. Learn more about pull requests.
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