https://github.com/theo-liang/python-project-analysis-for-instacart
This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.
https://github.com/theo-liang/python-project-analysis-for-instacart
aggregation data-visualization datatypes deriving-new-variables merging-data pandas-dataframe python subsetting wrangling-data
Last synced: 10 days ago
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This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.
- Host: GitHub
- URL: https://github.com/theo-liang/python-project-analysis-for-instacart
- Owner: theo-liang
- Created: 2024-09-03T16:18:28.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-03T18:46:55.000Z (over 1 year ago)
- Last Synced: 2025-10-28T03:42:32.328Z (6 months ago)
- Topics: aggregation, data-visualization, datatypes, deriving-new-variables, merging-data, pandas-dataframe, python, subsetting, wrangling-data
- Language: Jupyter Notebook
- Homepage:
- Size: 1.73 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
##### Description
###### This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies. I performed data cleaning, exploratory data analysis, and customer segmentation to identify key patterns and trends. The insights will help Instacart target customer segments with tailored marketing campaigns to enhance product sales and engagement.
##### Topics Covered
###### Python, data types, libraries, pandas dataframe, data wrangling, data subsetting, data consistency checks, variable derivation, data aggregation, data visualization with Python
##### Tools Used
###### Anaconda, Jupyter Notebook, Python