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In-App Chart 2
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In-App Chart 3
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DHIS2 Global Analytics
PCA will automatically generate a dashboard for your H2 program containing the 6 Analytical objects detaield below. The dashboard will be names xxxxxx and will automatically be assigned the same sharing persmissions as your program. We use the follwoign program varialbe to set your analytics:
Screenshot of Program Config Analytics sections
Analytics Org Unit Root: use to set the starting Org Unit for all analytcals objects
Use User Org Unit when possible: if selected, it will be used for Table/Chat 2, 3, 4 and 6
Table Org Unit Level: this is used in Table 2 and Table 3
Map Org Unit Levle: it is used to select the level of redering for your map. You need to select a level with Org Unit geometry properly setup.
Object 1 - NAMe (Type: Table)
The chart depicts….
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Type
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Table (Stack Bars/ Line Chat)
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Series
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Prg Indicator
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Dimensions
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Org Units:Root Org Unit + Org Unit Level for table
(we cannot use User Org Units)
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Filters
Sample
(screenshot)
Object 2
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Object 6
The xx depictsautomates the creation of the dahboard for H2 programs. It contains 6 elements consisting of: 4 Visualizations, 1 Map and 1 Event Report. The Dashboard will be named according to the assigned program name, as well as assigned the same sharing permissions. We use the following program varialbe to configure its analytics:
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User organization unit: if selected, it will allow the creation of Column, Stacked Column and Pivot Table type visualizations.
Root Organizational Unit: Select an OU, for Pivot Table, Map and Event Report Line List type visualization.
Organizational Unit Level: Select the OU level in which the information displayed in the Pivot Table and Line List type event report display will be segmented.
Map Organizational Unit Level: You must select the OU level in which the information shown in the map will be segmented.
Object 1 – Pivot Table
This pivot table type visualization will show you the average score per district over the last 12 months. We use the following variables to set up this visualization:
Type | Pivot Table |
Data Dimension Items | Global Score – Program Indicator |
Legend | Aplicable |
Organisation Units | Organization Unit Root |
Organisation Unit Levels | Organization Unit Level |
User Organisation Unit | Aplicable |
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Object 2 – Stacked Column
This Stacked Column type visualization will show you the competency class over a range of the last 4 quarters. We use the following variables to configure this visualization:
Type | Stacked Column |
Data Dimension Items | Competency C – Program Indicator Competency CNI – Program Indicator Competency NC – Program Indicator |
Legend | Not aplicable |
Organisation Units | Organization Unit Root |
Organisation Unit Levels | Organization Unit Level |
User Organisation Unit | Aplicable |
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Object 3 – Column
This Column type visualization will show you the global score over a range of the last 12 months. We use the following variables to configure this visualization:
Type | Column |
Data Dimension Items | Global Score – Program Indicator |
Legend | Not aplicable |
Organisation Units | Organization Unit Root |
Organisation Unit Levels | Organization Unit Level |
User Organisation Unit | Aplicable |
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Object 4 – Pivot Table
This Pivot Table visualization will show you the number of evaluations in a range of the last 12 months. We use the following variables to configure this visualization:
Type | Pivot Table |
Data Dimension Items | Number of Assessment – Program Indicator |
Legend | Not aplicable |
Organisation Units | Organization Unit Root |
Organisation Unit Levels | Organization Unit Level |
User Organisation Unit | Aplicable |
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Object 5 – Map
This map with basemap osmLight, will show you the overall score over a range of the last 12 months. We use the following varialbes to configure this visualization:
Type | Map |
Data Dimension Items | Global Score – Program Indicator |
Legend | Aplicable |
Organisation Units | Organization Unit Root |
Organisation Unit Levels | Organization Unit Level |
User Organisation Unit | Not aplicable |
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Shared Indicators
As part of the PCA automatic metadata generation, the following Program indicators are created and kep up to date:
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