https://github.com/samwhaaa/da_portfolio
Showcasing some of my Data Analytics projects
https://github.com/samwhaaa/da_portfolio
data-analysis data-analytics data-visualization jupyter jupyter-notebook python
Last synced: over 1 year ago
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Showcasing some of my Data Analytics projects
- Host: GitHub
- URL: https://github.com/samwhaaa/da_portfolio
- Owner: Samwhaaa
- License: cc0-1.0
- Created: 2025-02-28T06:46:38.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-28T07:41:38.000Z (over 1 year ago)
- Last Synced: 2025-02-28T13:54:58.917Z (over 1 year ago)
- Topics: data-analysis, data-analytics, data-visualization, jupyter, jupyter-notebook, python
- Language: Jupyter Notebook
- Homepage:
- Size: 13.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SuperFoodsMax Customer Analysis Project
This repository contains a comprehensive customer analysis project for SuperFoodsMax, conducted using Python. The project explores customer demographics, spending trends, and purchasing patterns to provide actionable insights for the business. This project is intended to provide potential employers with a clear understanding of my capabilities and experience in data analytics.
## Project Overview
This project consists of a series of Jupyter Notebooks that build upon each other to provide a holistic view of SuperFoodsMax customers. The notebooks cover data cleaning, demographic analysis, spending trend analysis, and product preference analysis for both loyal and first-time customers.
The project is structured as follows:
1. **Data Cleaning:**
* `1.SuperFoodsMax_cleaning.ipynb`: Initial data cleaning and preprocessing.
2. **Loyalist Customer Analysis:**
* `2.Loyalist Demographic.ipynb`: Analysis of loyal customer demographics.
* `3.Loyalist Spending Trends.ipynb`: Examination of spending trends among loyal customers.
* `4.Loyal Top 10 dept & commo.ipynb`: Identification of the top 10 departments and commodities preferred by loyal customers.
3. **First-Time Customer Analysis:**
* `5.First Time Demographic.ipynb`: Analysis of first-time customer demographics.
* `6.First Time Spending Trends.ipynb`: Examination of spending trends among first-time customers.
* `7.First Time Top 10 dept & commo.ipynb`: Identification of the top 10 departments and commodities preferred by first-time customers.
4. **Specialized Analysis:**
* `8.Essential Single Parent Products.ipynb`: Identification of essential products for single-parent households.
* `9.Non meat comm in meat baskets.ipynb`: Analysis of non-meat commodities included in meat baskets.
## Getting Started
To explore this project, follow these steps:
1. **Clone the Repository:**
```bash
git clone [https://github.com/Samwhaaa/da_portfolio]
```
2. **Navigate to the Project Folder:**
```bash
cd [superfoodsmax]
```
3. **Open Jupyter Notebooks:**
* Open the `.ipynb` files using Jupyter Notebook or JupyterLab.
* It is recommended to run the notebooks in the numerical order listed above, as they build upon each other.
4. **Install Dependencies:**
* Ensure you have the necessary Python libraries installed. You can typically find a `requirements.txt` file within each project folder. If it exists, use:
```bash
pip install -r requirements.txt
```
## Skills Demonstrated
This project demonstrates my proficiency in:
* Data Cleaning and Preprocessing (Pandas, Excel)
* Data Visualization (Matplotlib, Seaborn)
* Demographic Analysis
* Spending Trend Analysis
* Product Preference Analysis
* Python Programming (Pandas, NumPy)
* Jupyter Notebooks
## Contact
Feel free to contact me with any questions or inquiries:
* **Email:** [samwhaaa@gmail.com]
* **LinkedIn:** [http://www.linkedin.com/in/sam-white-176851243]
* **Portfolio Website (Optional):** [Coming Soon]
## License
This project is licensed under the CC0 1.0 Universal License.
While not legally required, I would appreciate it if you could notify me when you use or adapt this work.
See the `LICENSE` file for more information.