Notebook Difficulty Level: ★★☆☆☆
When we are working with a signal recording, it is important to perform a preliminar analysis to understand how it behaves and obtain its main characteristics. One of the most prevalent ways to do this is by extracting descriptive parameters. There are different ways to approach this, and this notebook will cover some of the most common statistical and temporal parameters that can be used to analyse time series.
The use of these descriptive characteristics will help us decide the most effective strategy to follow during data preparation, model selection and model tuning depending on the use we will give to the data.
List of statistical parameters:
- Maximum, minimum and range
- Median and quantiles
- Variance and standard deviation
- Skewness and kurtosis