From the course: Python in Excel: Data Outputs in Custom Data Visualizations and Algorithms

Unlock the full course today

Join today to access over 24,800 courses taught by industry experts.

Challenge: Comparing time series components to anomalies

Challenge: Comparing time series components to anomalies

From the course: Python in Excel: Data Outputs in Custom Data Visualizations and Algorithms

Start my 1-month free trial Buy for my team

Challenge: Comparing time series components to anomalies

“

(upbeat music) - [Instructor] Now let's tie what you've learned in this course with the final part of the challenge. We'll, again, continue to work with the hourly Santa Barbara weather data, focusing on temperature measurements. In the last chapter, you ran an anomaly detection algorithm on the temperatures to determine when these anomalies occurred. As we saw in this chapter, we can put time series data in a chart to visualize it. We can then break down this line chart into components for trend, seasons, and anomalies. Now, your task is to use time series decomposition on the same data to not only create a time series decomposition, but compare the anomalies seen in the residuals plot to the anomalies we calculated in the previous chapter. Good luck.

Contents