5-AM Project: day8 Practical data science with Python 4

Chapter 5 Exploratory Data Analysis and Visualization

• EDA and visualization libraries in Python
• Performing EDA with Seaborn and pandas
• Using EDA Python packages
• Using visualization best practices
• Making plots with Plotly

Performing EDA with Seaborn and pandas

Making boxplots and letter-value plots

import matplotlib.pyplot as plt
df['Minutes'].plot.box()
plt.show()

f = plt.figure(figsize=(5.5, 5.5))  # this changes the size of the image -- more on this is chapter 5
f.patch.set_facecolor('w')  # sets background color behind axis labels
df['Minutes'].plot.box()
plt.tight_layout()  # auto-adjust margins

Making histograms and violin plots