6. Data Visualization

Now that we have some fundamental programming tools that we can apply to data science, we can start looking at some fundamentals of data science itself. The first thing we will look at here is data visualization, which is a cornerstone of analyzing or processing any data. Visualization allows you to better understand the data you are dealing with, provides a way to check the results of your analysis for correctness, and is often the most effective tool for communicating your analysis to others as well.

In this chapter, we’ll start with the basics of visualization as a tool, then get into how to create visualizations of data in Python.

• 6.1. Charts
  • 6.1.1. Chart Terminology
  • 6.1.2. Bar Charts
  • 6.1.3. Line Charts
  • 6.1.4. Scatterplots
  • 6.1.5. Histograms
  • 6.1.6. Choosing a Chart Type
• 6.2. Creating Visualizations with Matplotlib
  • 6.2.1. Example data for use in charts
  • 6.2.2. Line chart
  • 6.2.3. Bar chart
  • 6.2.4. Histogram
  • 6.2.5. Scatter plot
• 6.3. Creating Visualizations with Matplotlib and Pandas
  • 6.3.1. Loading data with Pandas
  • 6.3.2. Plotting data from a dataframe
  • 6.3.3. Histogram
  • 6.3.4. Line Chart
  • 6.3.5. Scatter Plot
  • 6.3.6. Bar Chart