https://github.com/panoschatzi/healthcare_and_bioinformatics_analyses

Healthcare and Bioinformatics data analysis projects with Python and SQL.
https://github.com/panoschatzi/healthcare_and_bioinformatics_analyses

data-analysis data-cleaning data-visualisation jupyter matplotlib mysql pandas plotly python seaborn sql

Last synced: about 1 month ago
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Healthcare and Bioinformatics data analysis projects with Python and SQL.

• Host: GitHub
• URL: https://github.com/panoschatzi/healthcare_and_bioinformatics_analyses
• Owner: PanosChatzi
• Created: 2024-11-27T16:31:09.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-01-15T19:36:13.000Z (about 1 month ago)
• Last Synced: 2025-01-15T21:25:02.822Z (about 1 month ago)
• Topics: data-analysis, data-cleaning, data-visualisation, jupyter, matplotlib, mysql, pandas, plotly, python, seaborn, sql
• Language: HTML
• Homepage:
• Size: 2.46 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Healthcare and Bioinformatics Data Analysis

This repo contains the final assignments of the Data Analyst bootcamp by Workearly. Here, I used Python and SQL to clean, transform, and analyze healthcare, bioinformatics and finance datasets. I also created clear figures to visualize the findings using matplotlib, seaborn, and plotly.

### [1. Longevity gene variants analysis](./longevity/longevity_analysis.ipynb)

### [2. Covid testing analysis](./covid_testing/covid_testing_analysis.ipynb)

**Highlights**

- [Cumulative cases plot](https://htmlpreview.github.io/?https://github.com/PanosChatzi/Workearly_Projects/blob/main/covid_testing/covid_death_rates.html)

### [3. Analyzing liquor store sales](./liquor_sales/Workearly_Final_Assignment_Panagiotis_Chatzinikolaou.ipynb)

### Technologies

- Pandas for data cleaning and transformation

- Matplotlib and seaborn for data visualization

- Plotly for interactive visualizations

- Jupyter notebook for creating an interactive report

### Requirements

Install dependencies via pip:

```bash

pip install -r requirements.txt

```