Question/Problem statement:

• What are the most type of funding requested by clients?

• Who of the genders is more in demand for funding?

• What are the most months in which the funding has been disbursed to clients?

Data Description:

A dataset is about Social Development Bank loan data for the year 2020, the dataset contains:

• Columns: ( Client ID, Bank branch , Funding type , Social funding products, Customer sector , Funding value , The value of installment , Funding disbursement date , Gender , age , Marital status , Special needs ,Saving loan , Number of family , Salary).

• Rows: 13914 rows.

• Data size: 15 columns , 13914 rows.

• Data type: text , integer.

• Data source: The original source for this data is here ,and i have taken from open source for KSA .

Tools:

• Programs: Jupyter.

• Libraries: Pandas - Plotly .

• Functions: Groupby - Merge .

• Plots: BarChart plot , PieChart plot, Scatter Plot.

MVP Goal:

The goal of this project is to understand clients' behavior during 2020.