This is a capstone project from my class in ibm data analysis with python, data provided in the classroom
- Explore a banking dataset with Pandas framework
- Build pivot tables.
- Visualize the dataset with various plot types
- What is the share of clients attracted in our source data
- What are the mean values of numerical features among the attracted clients
- What is the average call duration for the attracted clients
- What is the average age among the attracted and unmarried clients
- What is the average age and call duration for different types of client employment
- Pandas
- Numpy
- Matplotlib
- Seaborn