Glossary
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In our context a dataset is a set of data with a geography attribute, a count attribute, and one or more dimension attributes. A dataset can be constructed from one or more files file structured in a specific format (see ) and uploaded to the dataset in wazimap. Datasets are the data source that Variables are created from. The platform allows for multiple datasets from various sources to be uploaded and displayed to users. Datasets are uploaded and managed by a Data Administrator.
In Wazimap a Subindicator is what we call an attribute value in one of the classifying columns or dimensions of a dataset.
In OLAP terms, a subindicator corresponds to a member of a dimension.
In statistics, a subindicator corresponds to categories of a categorical variable.
Subindicators are so named because they represent the choices offered when plotting a choropleth.
A subindicator group represents the set of subindicators of a particular attribute or column in the original dataset.
In OLAP terms, a subindicator group corresponds to a dimension.
It corresponds directly to the columns in a dataset, other than the Geography and Count columns.
Variables are datapoints used to create profile indicators from and are created by the Data Administrator. Multiple variables can be created from the same dataset.
Most of the time, a variable simply exposes a subindicator group for use as categories in an indicator.
Variables exist for more complicated cases where the way percentages need to be calculated using a different population than simply the total of all subindicators. This is done by associating a universe to the variable.
Universe refers to the population to which the indicators are applied. There can be multiple universes if required and it can also be left blank to apply to the entire population.
Profile indicators are created by the Profile Administrator and are presented to the user on the website. Indicators belong to categories (e.g. Demographics) and can belong to sub-categories (e.g. General Population). In addition, they can also have sub-indicators (e.g. Age could take the individual age brackets as sub-indicators).
Key metrics are values of significance as decided upon by the Profile Administrator. These are used to showcase and callout highlighted values both in the rich data (profile) view, as well as on the map view. Key metrics can be shown as a percentage or absolute numbers as defined by the Profile Administrator.
The Data Mapper provides an interface for users to plot indicators on the map. Only indicators available for plotting are shown and these might change depending on the geography level and that data available for that level. Please note that all indicators are shown in the Rich Data View.
What was once referred to as a profile view on Wazimap is now the Rich Data View and provide charted exploration of the available data indicators. This view also reveals the source of each indicator along with a description for the categories and indicators (optional and set by Profile Administrators). This view also allows a chart to be downloaded (to be used elsewhere) and will soon allow for a chart to be embedded and for data to be downloaded. The Rich Data View also supports a print-friendly view allowing for easier sharing and dissemination.
The point menu houses point data themes and collections and allows for these to be overlaid on the map.
Point data refers to coordinate based data rather than a dataset shaped within a geographical boundary. This allows for points to be overlaid on various other indicators.
