Time series data, or timestamped data, is a set of data points indexed in chronological order. Common examples include economic indices, weather records, and patient health indicators, all captured over time. This chapter covers techniques for analyzing time series data and extracting meaningful statistics from it using the pandas library. We’ll focus on analyzing stock market data, but the same techniques can be applied to all kinds of time series data.
Regular vs. Irregular Time Series
A time series can be created for any variable that changes over time, and those changes can be recorded either at regular ...
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