Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/firaskahlaoui/heart-disease-analysis-r
R for data visualization and analysis of heart disease datasets.
https://github.com/firaskahlaoui/heart-disease-analysis-r
data-science data-visualization ggplot kaggle-dataset r statistics
Last synced: about 5 hours ago
JSON representation
R for data visualization and analysis of heart disease datasets.
- Host: GitHub
- URL: https://github.com/firaskahlaoui/heart-disease-analysis-r
- Owner: FirasKahlaoui
- Created: 2024-05-09T20:45:43.000Z (6 months ago)
- Default Branch: master
- Last Pushed: 2024-06-23T22:02:50.000Z (5 months ago)
- Last Synced: 2024-06-23T23:21:12.927Z (5 months ago)
- Topics: data-science, data-visualization, ggplot, kaggle-dataset, r, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 11.4 MB
- Stars: 11
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Heart Disease Analysis with R Notebook
## About This Notebook
The "Heart_Disease_Analyse_R.ipynb" notebook is part of the "heart-disease-analysis-r" project, which utilizes R for data visualization and analysis of heart disease datasets. This notebook focuses on exploratory data analysis (EDA), visualization, and statistical analysis of the heart disease data.
### Notebook Contents
This notebook includes the following sections:
- **Data Loading and Preparation**: Loading the heart disease dataset and preparing it for analysis.
- **Exploratory Data Analysis (EDA)**: Exploring the dataset to understand its structure, features, and distributions.
- **Data Visualization**: Using R's ggplot2 and plotly packages to create insightful visualizations of the heart disease data.
- **Statistical Analysis**: Applying statistical methods and hypothesis testing to analyze relationships between variables and draw meaningful insights.### Technologies Used
- R programming language
- R packages:
- ggplot2
- plotly
- dplyr
- tidyr
- etc. (list all relevant packages used in the notebook)## Installation
1. Clone the repository:
```bash
git clone https://github.com/FirasKahlaoui/heart-disease-analysis-r.git
cd heart-disease-analysis-r