التمثيل المرئي للبيانات والتعبير/السرد

In these lessons, we’ll focus on the relationship between plots and the underlying data sets used to create them. Not all data is equal, and some plots work better than others for certain situations. We’ll explore several data sets conducive to histograms, scatter plots, and heat maps. For histograms, we use data sets that can be considered a distribution—such a thousand dice rolls and the corresponding results—which allow us to see that distribution.

We’ll show you how to combine random numbers, Numpy, and matplotlib.pyplot to create data sets with a distribution by drawing data from a NASA Mars mission to plot a scatter diagram. NASA has a satellite that orbits Mars and takes pictures of the Martian surface; and in these lessons, we’ll explore that data set to plot out areas of the Martian surface. You’ll also explore how heat maps work, including the relationship between the different variables of a heat map, when they make sense, and when they don’t.

Learning Objectives:

• Understand the relationship between the underlying data and its appropriate plot

• Assess practices with Numpy, Pandas, and large data sets

• Describe the relationship between data sets and typical ways to express data sets