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Data cleaning is essential for preparing data for analysis and model development. The Data Cleaner app in Matlab can be used for both tables and timetables, allowing users to clean, re-time, and reshape data sets. This tutorial demonstrates how to prepare a timetable data set, using electricity data from the New York ISO as an example. The data set, which includes Peak electricity load recorded in different zones, must be cleaned to address anomalies like missing data or outliers. The Data Cleaner app offers an interactive tool for managing complex data cleaning workflows, starting with importing the data set.
