3. Introduction to Plotting
3.1 Introduction
Data visualization is as much a part of the data processing step as the data presentation step. It is much easier to compare values when they are plotted than numeric values. By visualizing data we are able to get a better intuitive sense of the data than would be possible by looking at tables of values alone. Additionally, visualizations can bring to light hidden patterns in data, that you, the analyst, can exploit for model selection.
Concept Map
1. Prior knowledge
a. containers
b. using functions
c. subsetting and indexing
d. classes
2. matplotlib
3. seaborn
4. Pandas
Objectives
This chapter will cover:
1. matplotlib
2. seaborn
3. Plotting in Pandas
The quintessential example for creating ...
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