Summary

In this chapter, you have learned the basics of doing data analysis on streaming data. You have seen that doing descriptive statistics on data streams does not work the same as when doing descriptive statistics on batch data. Estimation theory from batch data can be used, but you have to window over data to get a larger or smaller window of historical data.

Windowing settings can have a strong impact on your results. Larger windows will take into account more data and will be taking into account data further back in time. They will, however, be much less sensitive to the new data point. After all, the larger the window, the lesser impact one new data point has.

You have also learned how to build data visualizations using Plotly's Dash. This tool is great, as it is quite powerful and can still be used from a Python environment. Many other visualization tools exist, but the most important thing is to master at least one of them. This chapter has shown you the functional...