Instacart Basket Analysis

Project Goal
To perform an initial data and exploratory analysis of some of their data in
order to derive insights and suggest strategies for better segmentation based
on the provided criteria.
Data
- The dataset comprises of information on the following parameters: Orders, Products & Departments.
- The data used is an open-source data by Instacart from 2017 and is available here and also used a customer data set created and included for the purpose of this project
Tools Used
- Python, Anaconda, Jupyter Notebook
- Libraries ( Pandas, Numpy, Seaborn, Matplotlib, Scipy)
- Excel
Skills
- Python
- Data Cleaning: Wrangling & Subsetting
- Data Consistency Checks
- Combining & Exporting Data
- Deriving New Variables
- Grouping & Aggregating Data
- Data Visualization with Python
- Excel Reporting
Detailed Report
