What is an example of data cleaning and transformation?

Data cleaning and transformation involve preparing and refining raw data to make it suitable for analysis. Deleting columns from a spreadsheet is an example of this process because it directly impacts the data structure. By removing unnecessary or irrelevant columns, you can simplify the dataset, making it easier to manage and analyze. This step helps ensure that the analysis focuses on the most pertinent information, which is crucial for generating accurate insights and conclusions.

Creating a pivot table, while useful for analysis, does not pertain to cleaning or transforming raw data; instead, it summarizes and reorganizes data for easier interpretation. Visualizing data with charts is a step taken after data has been cleaned and transformed, making it part of the reporting process rather than a cleaning task. Collecting raw data is the initial step in data analysis, not a transformation or cleaning process; rather, it provides the foundation that requires subsequent cleaning and structuring to be useful.