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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