{"id":18535225,"url":"https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis","last_synced_at":"2026-04-16T04:32:06.148Z","repository":{"id":250131197,"uuid":"833543475","full_name":"MaximLevchenko/Pandas-Numpy-Hippocampus-Analysis","owner":"MaximLevchenko","description":"This project aims to analyze the differences in hippocampus size between two groups: \"Unaffect\" and \"Affected\" using pandas, numpy and matplotlib","archived":false,"fork":false,"pushed_at":"2024-07-25T09:59:21.000Z","size":374,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-26T03:13:05.149Z","etag":null,"topics":["jypyternotebook","matplotlib","numpy","pandas","pyreadr","seaborn","statsmodels"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MaximLevchenko.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-25T09:08:45.000Z","updated_at":"2024-07-26T12:47:32.000Z","dependencies_parsed_at":"2024-07-25T11:29:18.646Z","dependency_job_id":null,"html_url":"https://github.com/MaximLevchenko/Pandas-Numpy-Hippocampus-Analysis","commit_stats":null,"previous_names":["maximlevchenko/nba_stats_analysis","maximlevchenko/pandas-numpy-hippocampus-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximLevchenko%2FPandas-Numpy-Hippocampus-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximLevchenko%2FPandas-Numpy-Hippocampus-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximLevchenko%2FPandas-Numpy-Hippocampus-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaximLevchenko%2FPandas-Numpy-Hippocampus-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MaximLevchenko","download_url":"https://codeload.github.com/MaximLevchenko/Pandas-Numpy-Hippocampus-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239249141,"owners_count":19607166,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["jypyternotebook","matplotlib","numpy","pandas","pyreadr","seaborn","statsmodels"],"created_at":"2024-11-06T19:20:59.162Z","updated_at":"2026-04-16T04:32:06.111Z","avatar_url":"https://github.com/MaximLevchenko.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Hippocampus Size Analysis Project\n\n## Overview\n\nThis 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.\n\n## Features\n\n- **Statistical Analysis**: Calculation of mean, variance, and median for each group.\n- **Data Visualization**: Histograms, empirical distribution functions (ECDF), and kernel density estimates (KDE) for visualizing the data distribution.\n- **Empirical Distribution Functions**: Both ECDF and PDF are plotted for a detailed understanding of data distribution.\n\n## Core Components\n\n### `hypocampus_size.ipynb`\n- A Jupyter notebook for interactive data analysis and visualization.\n- Allows users to explore the data and perform statistical analysis in an interactive manner.\n\n## Dependencies\n\nEnsure the following Python packages are installed:\n\n- `pyreadr`\n- `pandas`\n- `matplotlib`\n- `numpy`\n- `seaborn`\n- `statsmodels`\n\nYou can install the dependencies using pip:\n\n```bash\npip install pyreadr pandas matplotlib numpy seaborn statsmodels\n```\n## Usage\n\n1. **Data Loading**: The data is read from a specified `.rda` file and divided into two groups: \"Unaffect\" and \"Affected\".\n\n2. **Statistical Calculations**: The notebook includes functions to calculate the mean, variance, and median for each group's standard deviation.\n\n3. **Data Visualization**: The notebook provides cells to generate histograms, ECDF, and KDE plots for both groups.\n\n## Running the Notebook\n\nTo use the notebook:\n\n1. Open `hypocampus_size.ipynb` in Jupyter Notebook or JupyterLab.\n\n2. Run the cells in sequence to load the data, perform statistical calculations, and visualize the results.\n\n### Example Code\n\nExample code snippets provided in the notebook include:\n\n```python\n# Example for statistical calculations\n\ngroup_unaffect = df['Unaffect']\ngroup_affected = df['Affected']\n\nunaffect_stats = calculate_stats(group_unaffect)\naffected_stats = calculate_stats(group_affected)\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaximlevchenko%2Fpandas-numpy-hippocampus-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaximlevchenko%2Fpandas-numpy-hippocampus-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaximlevchenko%2Fpandas-numpy-hippocampus-analysis/lists"}