https://github.com/ayushsiloiya619/online-food-orders-analysis

Data Analytics with Python
https://github.com/ayushsiloiya619/online-food-orders-analysis

data-analysis data-visualization matplotlib pandas-dataframe python3 seaborn-python

Last synced: about 2 months ago
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Data Analytics with Python

• Host: GitHub
• URL: https://github.com/ayushsiloiya619/online-food-orders-analysis
• Owner: ayushsiloiya619
• Created: 2024-03-15T03:56:33.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-21T08:45:43.000Z (about 1 year ago)
• Last Synced: 2025-01-28T19:16:36.945Z (4 months ago)
• Topics: data-analysis, data-visualization, matplotlib, pandas-dataframe, python3, seaborn-python
• Language: Jupyter Notebook
• Homepage:
• Size: 660 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Analytics With Python

## Workflow:

1. **Getting Started With Python**

   - Establishing foundational knowledge in Python programming.

2. **Analysis Phase - Pandas & Seaborn**

   - Utilizing Pandas and Seaborn libraries for in-depth data analysis.

3. **Dataset for Online Food Orders Analysis with Python**

   - Selecting a suitable dataset for analyzing online food orders, ensuring relevance and richness of data.

4. **Identifying Target Customers for Brand Success**

   - Employing analytical insights to pinpoint target customers crucial for driving brand success.

## Tools and Libraries:

- Python

- Pandas

- Seaborn

- Jupyter Notebooks

- Matplotlib

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