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 inlinein 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 ...