January 2018
Beginner to intermediate
316 pages
7h 14m
English
Content preview from Feature Engineering Made Easy
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Plotting two columns at the interval level
One large advantage of having two columns of data at the interval level, or higher, is that it opens us up to using scatter plots where we can graph two columns of data on our axes and visualize data-points as literal points on the graph. The year and averageTemperature column of our climate change dataset are both at the interval level, as they both have meaning differences, so let's take a crack at plotting all of the monthly recorded US temperatures as a scatter plot, where the x axis will be the year and the y axis will be the temperature. We hope to notice a trending increase in temperature, as the line graph previously suggested:
x = climate_sub_us['year'] y = climate_sub_us['AverageTemperature'] ...
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