Visualizing a dataset by basic plotting

Plots are a great way to visualize a dataset and gauge possible relationships between the columns of a dataset. There are various kinds of plots that can be drawn. For example, a scatter plot, histogram, box-plot, and so on.

Let's import the Customer Churn Model dataset and try some basic plots:

import pandas as pd
data=pd.read_csv('E:/Personal/Learning/Predictive Modeling Book/Book Datasets/Customer Churn Model.txt')

While plotting any kind of plot, it helps to keep these things in mind:

  • If you are using IPython Notebook, write % matplotlib inline in the input cell and run it before plotting to see the output plot inline (in the output cell).
  • To save a plot in your local directory as a file, you can use the ...

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