http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Learn to create a visualization of aggregated time data in Python with data from ACEA (2020)
This dataset outlines how to create a line chart of aggregated time series data points using new vehicle registration data from the European Automobile Manufacturers' Association. Aggregating data points by time is generally used to minimize temporal variation in the dataset and, thus, better bring out large-scale trends in the series. Methods for aggregation are many, but foremost among them are summing and averaging entries into a different unit of time. You will learn to identify ideal use cases and best practices for employing time aggregation for data visualization in your work. The dataset file is accompanied by a Student Guide and a How-to Guide for creating this chart type using Python.