# visualization

**Repository Path**: xiwanggit/visualization

## Basic Information

- **Project Name**: visualization
- **Description**: 数据可视化
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2019-08-21
- **Last Updated**: 2021-05-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# visualization

#### 介绍
可视化学习

* 环境
  *  Python(anaconda)：3.7.3
  *  plotly: 4.1.0
  *  pyecharts: 1.4.0
  *  dash: 1.1.1
  *  dash-daq: 0.1.0
  *  chart_studio
  *  matplotlib: 3.0.3
  *  anaconda： 4.7.11
  *  wordcloud: 1.5.0
  *  blockspring: 0.1.13
  *  bokeh: 1.0.4
  *  pydotplus: 2.0.2
  *  Graphviz(pygraphviz)
     * https://graphviz.gitlab.io/_pages/Download/Download_windows.html
     * https://www.x.org/wiki/Releases/Download/
  *  pygraphviz：
     * conda install graphviz pygraphviz -c alubbock
     * https://github.com/CristiFati/Prebuilt-Binaries/tree/master/Windows/PyGraphviz）
  *  textblob: 0.15.3
     *  python -m textblob.download_corpora
     *  https://github.com/gunthercox/ChatterBot/issues/930#issuecomment-322111087
     *  http://www.nltk.org/nltk_data/
  *  igraph: 0.7.1：https://www.lfd.uci.edu/~gohlke/pythonlibs/#python-igraph

* plotly
  *  https://plot.ly/
  *  https://plot.ly/ipython-notebooks/
  *  https://plot.ly/python/#fundamentals
  
* pyecharts
  *  https://pyecharts.org/#/zh-cn/notebook
  
* bokeh
  *  https://bokeh.pydata.org/en/latest/
  *  https://github.com/bokeh/bokeh/tree/master/examples/app/dash

*  matplotlib数据集
   *  明尼苏达大学：https://grouplens.org/datasets/movielens/
   *  http://www.datawrangling.org/some-datasets-available-on-the-web/
   *  雅虎财经：https://finance.yahoo.com
   *  justice统计局：https://www.bjs.gov/developer/ncvs/
   *  人口普查：http://census.ire.org/data/bulkdata.html
   *  足球参考：https://www.pro-football-reference.com/
   *  篮球参考：https://www.basketball-reference.com/
   *  棒球参考：https://www.baseball-reference.com
   *  机器学习：https://archive.ics.uci.edu/ml/datasets.php
   *  https://www.pewresearch.org/download-datasets/
   *  心脏病：https://archive.ics.uci.edu/ml/datasets/Heart+Disease