Time Series Analysis
Time series analysis is one of the most common and impactful things you can do with your time series data. So far in this book, we’ve covered many techniques in Python Polars in regards to transforming, manipulating, and analyzing data. In this chapter, you will continue to learn about what Python Polars is capable of. This chapter teaches you how to work with date and time columns. You will also learn to identify trends and seasonality in your data using various methods. You will build calculations on time series data, including a time series forecasting model to predict future values. Time series analysis provides you and your organization with insights and meaningful statistics from data. This chapter delves into how we can work with time series data and conduct analysis on it, leveraging the capability of Python Polars.
In this chapter, we’re going to cover the following main topics:
- Working with date and time
- Applying rolling windows...
