PPT 地址

https://c.d2l.ai/stanford-cs329p/_static/notebooks/cs329p_notebook_eda.slides.html#/

工具、库

EDA

First import libraries and data

# !pip install seaborn pandas matplotlib numpy
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from IPython import display
display.set_matplotlib_formats('svg')
# Alternative to set svg for newer versions
# import matplotlib_inline
# matplotlib_inline.backend_inline.set_matplotlib_formats('svg')
data = pd.read_csv('house_sales.zip')

csv文件存下来相对比较大，可以先压缩成一个zip或一个tar，主流的读取文件都可以从压缩文件中读取。建议存成压缩文件，在传输存储都会比较好，甚至还会比直接读取还要好（这个方法可用于文本）

Let’s check the data shape and the first a few examples

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](https://c.d2l.ai/stanford-cs329p/_static/notebooks/cs329p_notebook_eda.slides.html#/)