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Showing Correlations
Showing Correlations
In some cases, you need to know the general direction that your data is taking when looking at a scatterplot. In this case, you add a trendline to the output.
Using numpy and matplotlib.pylab, we can make correlation of the previous example as follow.
> The vector output of polyfit() is used as input to poly1d(), which calculates the actual y axis data points. The call to plot() creates the trendline on the scatterplot.
Exercise 2.5
Exercise 2.5
Using homes.csv, we will try to find out the connection between listing price ("List") and homes age ("Age") by doing the following:
Make a scatterplot representing that. Make the marker square and color black.
Make a correlation line between the two variables.
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