Analyzing a Time Series of the Thames River in Python

Time series data is everywhere, from watching your stock portfolio to monitoring climate change, and even live-tracking as local cases of a virus become a global pandemic.

In this live code-along, you’ll work with a time series that tracks the tide levels of the Thames River. You’ll first inspect the data visually, and then perform calculations on the dataset to generate some summary statistics. Next, you’ll decompose the time series into its component attributes. You’ll end with a taster of time series forecasting.

Key learnings

• Inspect a time series visually to obtain a high level understanding of the dataset

• Decompose a time series into its constituent attributes

• Begin a time series forecast to predict future tide levels of the River Thames

Materials

• Sign up to DataLab

• Access the solution notebook