https://github.com/dongminlee94/data-visualization-tutorial
A repository for data visualization tutorial
https://github.com/dongminlee94/data-visualization-tutorial
data data-science data-visualization matp matplotlib pca plotly python seaborn t-sne tutorial umap visualization
Last synced: 7 months ago
JSON representation
A repository for data visualization tutorial
- Host: GitHub
- URL: https://github.com/dongminlee94/data-visualization-tutorial
- Owner: dongminlee94
- License: mit
- Created: 2021-10-17T06:18:57.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-07T17:31:02.000Z (almost 4 years ago)
- Last Synced: 2025-01-11T08:27:53.428Z (9 months ago)
- Topics: data, data-science, data-visualization, matp, matplotlib, pca, plotly, python, seaborn, t-sne, tutorial, umap, visualization
- Language: Jupyter Notebook
- Homepage: https://nbviewer.org/github/dongminlee94/data-visualization-tutorial
- Size: 39.4 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Getting started
## Requirements
This repository is implemented and verified on **python 3.8.12**.
## Installation
Clone the repository and run one of the following commands.
```shell
$ make setup
```
## Contents
If you want to see jupyter notebook files better, please see them in [nbviewer](https://nbviewer.org/github/dongminlee94/data-visualization-tutorial).
1. [Matplotlib](https://nbviewer.org/github/dongminlee94/data-visualization-tutorial/blob/main/src/1_matplotlib.ipynb)
2. [Seaborn](https://nbviewer.org/github/dongminlee94/data-visualization-tutorial/blob/main/src/2_seaborn.ipynb)
3. [PCA](https://nbviewer.org/github/dongminlee94/data-visualization-tutorial/blob/main/src/3_pca.ipynb)
4. [t-SNE](https://nbviewer.org/github/dongminlee94/data-visualization-tutorial/blob/main/src/4_t-sne.ipynb)
5. [UMAP](https://nbviewer.org/github/dongminlee94/data-visualization-tutorial/blob/main/src/5_umap.ipynb)
## References
- [Seaborn tutorial](https://seaborn.pydata.org/tutorial.html)
- [Seaborn의 통계 차트 및 데이터 시각화 예제](https://teddylee777.github.io/visualization/seaborn-tutorial-1)
- [Seaborn을 사용한 데이터 분포 시각화](https://datascienceschool.net/01%20python/05.04%20%EC%8B%9C%EB%B3%B8%EC%9D%84%20%EC%82%AC%EC%9A%A9%ED%95%9C%20%EB%8D%B0%EC%9D%B4%ED%84%B0%20%EB%B6%84%ED%8F%AC%20%EC%8B%9C%EA%B0%81%ED%99%94.html)
- [Kaggle - subinium](https://www.kaggle.com/subinium/code)
- [StatQuest: t-SNE, Clearly Explained](https://www.youtube.com/watch?v=NEaUSP4YerM)