Chapter 7. Using the Right Plots to Understand Data

In this chapter, you will cover the following recipes:

  • Understanding logarithmic plots
  • Understanding spectrograms
  • Creating stem plot
  • Drawing streamlines of vector flow
  • Using colormaps
  • Using scatter plots and histograms
  • Plotting the cross correlation between two variables
  • Importance of autocorrelation

Introduction

In this chapter, we will focus more on understanding what we want to say with the data that we are presenting, and how to say it effectively. We will present some new techniques and plots, but all will be underlined by understanding of the information we want to convey to the user. Let's ask the questions. Why do we want to present information in this state? This is the most important question that should be asked during the data exploration phase. If we miss the opportunity to understand the data and present it in a certain way, the viewer, then, is not going to understand the data correctly, for sure.

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