Data preparation: Outliers

In this week’s issue, the final entry in our series of data preparation tutorials, we discuss the influence of outliers on our time series analysis. Dealing with outliers can be tricky, as they might result from a number of factors,…

Data Preparation: Homogeneity

This week, we unveil the third issue in our ongoing series of tutorials on data preparation. This time, our focus is another bedrock assumption in time series modeling: homogeneity, or the assumption that a time series sample is drawn from…