Working with the Sample-patients Dataset
This example shows how to use various methods to analyze, validate, transform, cleanse, and deliver your data.
The Sample-patients dataset contains a set of fictional patients data, among which some data is invalid. By default, a project named project 1 is created from this dataset. On the home page, click the project name to go to the project data page. The patients data is stored in the following columns:
This example shows how to analyze, validate, transform, cleanse, and deliver data:
- Analyzing Data
Profile data, facet data, check data dependency, and chart data.
- Validating Data
Validate data by data types, and analyze and export validating results.
- Transforming Data
Transform data into a uniform data format.
- Cleansing Data
Trim white space, remove empty rows, and remove or modify invalid data.
- Delivering Data
A complete procedure: sample, cleanse, and deliver data.
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