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Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.- minimum value
- maximum value
- average value
- standard deviation
- total number of values
- missing values
- unique values
- data types
You will then learn how to record the statistical metrics for each column of a dataset using a custom function created by you in R. The output of the function will be a ready-to-use data quality report. Finally, you will learn how to export this report to an external file.
A data quality report can be used to identify outliers, missing values, data types, anomalies, etc. that are present in your dataset. This is the first step to understand your dataset and let you plan what pre-processing steps are required to make your dataset ready for analysis.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.