Congratulations – you have now learned some exciting new ways to visualize data and interpret various chart types to help expand your data literacy skills! In this chapter, you learned some best practices to find the right chart for the right type of analysis. You also learned the difference between a dimension and a measure, along with how to model data for analysis to answer questions.
Next, you learned some essential skills for making various plots, such as line graphs and bar charts, by exploring the various time series and date functionality in pandas. We highlighted leaders such as Alberto Cairo and Naomi B. Robbins in the world of data visualization and discussed how they have influenced the evolution of data analysis. Finally, you used the .plot() method to create time series charts using the matplotlib library.
In the next chapter, we will explore techniques we can use to clean, refine, and blend multiple datasets together.