Edit data tables online in DataLion
Data tables can now easily be filtered online in DataLion and the filter selection can be deleted. An example: The data of a new wave was imported into the project, but the data has to be changed again. Simply filter on this wave in your table, delete the entries and then import the current data. This means that not all of the project data has to be removed and re-imported. The filter function can also be used to find out the number of cases for an entered condition, e.g. WHERE var_item IN (1,2) returns the cases where the variable var_item = 1 or = 2. Filtered data can also be exported. Learn more here.
As an admin, keep track of projects with the new report overview!
Export large amounts of data with notification
DataLion start page with your personal recent work and the latest DataLion information
Set up large dashboard projects quickly and clearly: define metrics via the codebook
In DataLion, representations can be output in many different metrics, e.g. percent, absolute values, sums, maximum, minimum, etc. You can first define a default metric at project level and then change this metric in the frontend for each chart if desired, e.g. from absolute values to percent. This second step can now also be carried out in a time-saving manner via the codebook and thus significantly reduce the number of clicks in the front end, especially in large projects with many charts and dashboards. Learn more about how to define the metric per chart via the codebook here.
Select project chart types
The chart types that are available in the project can be selected in the Project backend > General > Chart settings. The chart IDs no longer have to be entered.
The datepicker has evolved: default time periods
Additional periods are now available for the date picker (calendar), which can be defined as default time periods. With a default time period, the dashboard is always displayed to the user as a standard, filtered to this preset time period. Find out here in the Datepicker section (time series menu) how to define a default period for the datepicker.
Visualizing interconnectivity: The network chart
The network chart shows how things are connected to each other. Variables are shown as nodes that are linked to each other via lines. The size of the node indicates the absolute value of the node. The lines show with which nodes there is a connection and how strong this connection is. For example, it is easy to visualize which brands were named together with other brands in an open mention and how often they were named together with the other brand (line width).
The network chart is an alternative representation of the chord diagram.
Learn how to create a network diagram here.
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