The authors at Knoyd have a post on exploratory data analysis of a time series data set:

From the plot above we can clearly see that time-series has strong seasonal and trend components. To estimate the trend component we can use a function from the pandas library called

rolling_meanand plot the results. If we want to make the plot more fancy and reusable for another time-series it is a good idea to make a function. We can call this functionplot_moving_average.

The second part of the series promises to use Box-Jenkins to forecast future values.

Kevin Feasel

2018-07-31

Data Science, Python