Python Data Visualization Transcripts
Chapter: Welcome to the course
Lecture: Statistics aren't enough

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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.

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