Python Data Visualization Transcripts
Chapter: Welcome to the course
Lecture: Statistics aren't enough
Login or
purchase this course
to watch this video and the rest of the course contents.
0:00
Before we talk about using python to visualize data, let's take a step back and talk about why we want to visualize data.
0:08
A good example of this is an Anscombe's Quartet. This is a data set that has four different unique sets of X Y.
0:17
Data pairs. And if you were to run statistical analysis on each of these sets, you would find out that each set has very similar properties.
0:27
The average the variants, the correlation between the X and Y variables and each data set is about the same. However,
0:36
when you visualize the data, you can see that the properties of the data set
0:40
are very different and this is a dramatic illustration of the importance of using data visualization
0:47
in addition to standard statistical analysis tools.