The data viewer is a structure or visual representation of the data that's available in every dataflow. It can make the information more relevant and readable.
A major function of the Data Viewer is it allows you to view multiple data sets for comparison purposes, and it can be customized to display the data in a format that suits you. This capability enables you with two controls bound to the same dataset, but that show different versions of the data.
Another powerful feature is the data quality indicator - when you view a data set in the data viewer, coloured bars indicating the quality of the data are displayed for each column.
The data viewer allows you to quickly and easily inspect, sort and filter your data, reorder columns and export the data.
As you connect and run nodes, you can inspect their output in order to confirm that they are working as expected.
INTRODUCTION TO THE DATA VIEWER - VIDEO #1
This video gives some general information about the data viewer, and shows you:
- how to access the data viewer
- how to collapse and expand the data viewer
- how to use the POP OUT DATA VIEWER function
- what keyboard shortcuts are available and how to use them
- how to re-order columns
FILTERING AND SORTING DATA - VIDEO #2
This video demonstrates
- how to filter and sort data in the Data360 Analyze Data Viewer
- the operators available for each of the data types
- how to add sorted / filtered data to the dataflow
DATA QUALITY INDICATORS AND OUTPUTTING FILTERED DATA - VIDEO #3
This video demonstrates how to
- use the trace fields function
- view statistics
- understand data quality indicators
- export data
We'd love to hear your thoughts on this article and it's contents, or if you have a use case that you'd like to see demonstrated in a video / article, please let us know by posting in the comments below, or email me directly at email@example.com