Data profiling allows you to view statistics on interim datasets in your pipeline. When you open a dataset’s profile in the Data Explorer, you can visualize value distributions and data completeness to ensure your data matches expectations.
Quick profile
The Data Explorer includes data profiles that are generated on your sample data. You’ll be able to see high-level statistics for each column, including:
- Percent of non-blank values: The percentage of values in the column that are not blank.
- Percent of null values: The percentage of values in the column that are null.
- Percent of blank values: The percentage of values in the column that are blank.
- Most common values: Displays the top four most frequent values in the column, along with the percentage of occurrences for each.
To view these statistics for your sample data, click Profile in the Data Explorer (1) to open the Data Profile view. Initially, Prophecy calculates Data Profile statistics using only the first 10,000 rows of data, but you can ask Prophecy to expand this calculation to the full data set.
Before you do so, we recommend checking total row count by clicking the Total Row Count button at the bottom of the Data Explorer (2). Next, click Load Full Profile to calculate statistics for the entire dataset (3).
Expanded profile
You can view a more detailed profile for any column in your dataset. When you open the expanded profile, Prophecy generates a deeper analysis of the column based on your sample data.
All statistics in the expanded profile are computed on the same sample used in the Data Explorer.
- Click the dropdown arrow on the column you want to expand.
- Select Show Expanded Profile.
When you load the expanded data profile, Prophecy generates a more in-depth analysis on the sample data.
The expanded profile displays the following metrics:
You can click between columns in the expanded profile for quick access.
