seaborn-data
============
Data repository for [seaborn](http://seaborn.pydata.org/) examples.
**This is not a general-purpose data archive.**
This repository exists only to provide a convenient target for the `seaborn.load_dataset` function to download sample datasets from. Its existence makes it easy to document seaborn without confusing things by spending time loading and munging data. The datasets may change or be removed at any time if they are no longer useful for the seaborn documentation. Some of the datasets have also been modifed from their canonical sources.
Data sources
------------
A partial list of where these datasets originate from.
- `car_crashes`: https://www.kaggle.com/fivethirtyeight/fivethirtyeight-bad-drivers-dataset
- `dots`: https://shadlenlab.columbia.edu/resources/RoitmanDataCode.html
- `fmri`: https://github.com/mwaskom/Waskom_CerebCortex_2017
- `penguins`: https://github.com/allisonhorst/penguins
- `planets`: https://exoplanets.nasa.gov/exoplanet-catalog/
dataset.zip （52个子文件） 
dataset-master 
winequality-red.csv 82KB percent-bachelors-degrees-women-usa.csv 6KB
csv数据集文件处理.txt 78B titanic titanic_train.csv 56KB titanic_test.csv 26KB flights.csv 2KB tips.csv 10KB seaborn-data-master planets.csv 35KB penguins.csv 13KB png 
img3.png 626KB img4.png 559KB img2.png 491KB img1.png 596KB img6.png 594KB img5.png 525KB flights.csv 2KB gammas.csv 252KB tips.csv 10KB mpg.csv 21KB process titanic.py 881B planets.py 316B exercise.py 385B mpg.py 264B geyser.py 323B flights.py 1KB gammas.py 882B attention.py 347B attention.csv 1KB diamonds.csv 2.64MB titanic.csv 56KB exercise.csv 3KB brain_networks.csv 1.03MB anscombe.csv 556B dots.csv 25KB iris.csv 4KB fmri.csv 37KB README.md 1007B car_crashes.csv 3KB anagrams.csv 361B raw planets.csv 46KB mpg.csv 17KB attention.csv 361B titanic.csv 56KB exercise.csv 1KB geyser.csv 2KB geyser.csv 4KB attention.csv 1KB titanic.csv 56KB P00000001-ALL.csv 76.26MB iris.csv 5KB iris.txt 5KB car_crashes.csv 3KB资源评论
