What is the purpose of time series?

A time series is a sequence of data points that occur in successive order over some period of time . This can be contrasted with cross-sectional data, which captures a point-in-time.

So What is Time Series Forecasting in Machine Learning? Time Series is a certain sequence of data observations that a system collects within specific periods of time — e.g., daily, monthly, or yearly.

Time series analysis helps organizations understand the underlying causes of trends or systemic patterns over time . Using data visualizations, business users can see seasonal trends and dig deeper into why these trends occur.

Pandas: Select a Sub-Set Range of Dates in Time Series Data