https://github.com/jaymax01/website-performance-analysis
Analyzing retail performance
https://github.com/jaymax01/website-performance-analysis
data-analysis data-visualization feature-engineering google-colab metrics presentations python
Last synced: 2 months ago
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Analyzing retail performance
- Host: GitHub
- URL: https://github.com/jaymax01/website-performance-analysis
- Owner: jaymax01
- Created: 2023-09-27T16:31:24.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-27T18:56:46.000Z (over 2 years ago)
- Last Synced: 2025-06-13T00:03:22.259Z (7 months ago)
- Topics: data-analysis, data-visualization, feature-engineering, google-colab, metrics, presentations, python
- Language: Jupyter Notebook
- Homepage:
- Size: 1.58 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Website Performance Analysis
*The project involved the collection of Google analytics data, reading the dataset and deriving different metrics and visualizations to understand the performance of a typical online retail website. The presentation for the project is included in the presentation pdf file. The other deliverable the Month Device aggregation and the Month over Month comparison addToCart datasets are in the case data excel file. The datafiles session counts aggregate user sessions by browsers used daily and addToCart is a monthly aggregation of items added to the shopping cart by customers.*
## Project Outline
Data formating and exploration
Data analysis and deriving important metrics
Recommendations
## Installation
The following python libraries are used for the project
* matplotlib
* seaborn
* pandas
* numpy
## Credit
