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Visualizing Dataset Completeness

Learn how to to mark a dataset as complete and visualize dataset completeness and timeliness in a pivot table using the Data Visualizer App.

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    Dataset Completeness and Timeliness: Marking a Dataset Complete

    This video provides a step-by-step walkthrough of how to mark a dataset complete in the Data Entry app, which is necessary for that dataset to count toward calculations of reporting completeness.

    Dataset Completeness and Timeliness: Visualizing Completeness

    This video provides a step-by-step guide for how to visualize dataset completeness and timeliness as a pivot table in the Data Visualizer App.

    Supporting resources

    Link to the presentation slides.

    Related tutorials

    Dataset Completeness and Timeliness: Introduction

    Learn how DHIS2 calculates dataset completeness and timeliness metrics, configure reporting expectations, define timeliness rules, and mark data sets as complete.

    Data Element Completeness: Introduction

    Discover Data Element Completeness – a data quality indicator that helps you verify the completion status of individual data elements within a dataset.

    Data Element Completeness: Ad Hoc Analysis in DHIS2

    Learn how to perform an ad-hoc data element completeness check for a specific dataset using the DHIS2 Data Visualizer, quickly identify reporting gaps, and get a clear overview of which data elements are entered most or least consistently.