https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis
This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib
https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis
jypyternotebook matplotlib numpy pandas pyreadr seaborn statsmodels
Last synced: 5 months ago
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This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib
- Host: GitHub
- URL: https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis
- Owner: MaximLevchenko
- Created: 2024-07-25T09:08:45.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-25T09:59:21.000Z (about 1 year ago)
- Last Synced: 2024-12-26T03:13:05.149Z (10 months ago)
- Topics: jypyternotebook, matplotlib, numpy, pandas, pyreadr, seaborn, statsmodels
- Language: Jupyter Notebook
- Homepage:
- Size: 365 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Hippocampus Size Analysis Project
## Overview
This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected". Using data from an `.rda` file, the project calculates statistical measures and visualizes the distribution of values for both groups.
## Features
- **Statistical Analysis**: Calculation of mean, variance, and median for each group.
- **Data Visualization**: Histograms, empirical distribution functions (ECDF), and kernel density estimates (KDE) for visualizing the data distribution.
- **Empirical Distribution Functions**: Both ECDF and PDF are plotted for a detailed understanding of data distribution.
## Core Components
### `hypocampus_size.ipynb`
- A Jupyter notebook for interactive data analysis and visualization.
- Allows users to explore the data and perform statistical analysis in an interactive manner.
## Dependencies
Ensure the following Python packages are installed:
- `pyreadr`
- `pandas`
- `matplotlib`
- `numpy`
- `seaborn`
- `statsmodels`
You can install the dependencies using pip:
```bash
pip install pyreadr pandas matplotlib numpy seaborn statsmodels
```
## Usage
1. **Data Loading**: The data is read from a specified `.rda` file and divided into two groups: "Unaffect" and "Affected".
2. **Statistical Calculations**: The notebook includes functions to calculate the mean, variance, and median for each group's standard deviation.
3. **Data Visualization**: The notebook provides cells to generate histograms, ECDF, and KDE plots for both groups.
## Running the Notebook
To use the notebook:
1. Open `hypocampus_size.ipynb` in Jupyter Notebook or JupyterLab.
2. Run the cells in sequence to load the data, perform statistical calculations, and visualize the results.
### Example Code
Example code snippets provided in the notebook include:
```python
# Example for statistical calculations
group_unaffect = df['Unaffect']
group_affected = df['Affected']
unaffect_stats = calculate_stats(group_unaffect)
affected_stats = calculate_stats(group_affected)
```