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Using workbenches

Workbenches provide windows into the data to help interpret and understand it, as well as options for working the data.

Tomas Larsson avatar
Written by Tomas Larsson
Updated over a week ago

Keywords: workbench, view, drag-and-drop

Dcipher uses workbenches to visualize and interact with data. You can furnish the workspace with any number of workbenches. Click "Add workbench" and add the workbenches you want to use.

You typically define the inputs into a workbench by dragging-and-dropping data from one workbench to another. Each workbench has its own way of projecting data:

  • The Schema workbench, which is the first workbench you'll see when you import data, shows the structure, or schema, of the dataset.

  • Dropping a dataset or selected fields in the Table View displays them in an Excel-like fashion – although unlike Excel, in Dcipher both flat and nested data can be displayed.

  • Dropping a field in the Bubble View aggregates its values and displays them as bubbles or words, depending on the settings. Additional fields can be used as parameters for bubble size and color.

  • Dropping a field in the Bar Chart workbench aggregates its values and displays them as bars. Additional fields can be used for grouping and to calculate the heights of bars.

  • Dropping data in the Scatter Plot workbench displays the data along two dimensions, with additional parameters for color and size.

  • Dropping values and a date field in the Bump Chart displays the change of the values over time – for example how topics are growing and declining month by month.

  • The Matrix workbench constructs a cross tab based on the input column and row values.

  • Dropping data in the Foam Chart workbench results in nested aggregation, for example to aggregate and display words, grouped into topics, grouped into themes.

Workbenches are more than mere views for displaying data: they provide different options for processing the data that make sense in the context of each particular workbench. In Table View, for example, you can create new columns and apply a formula to calculate the values based on other columns. And in the Bubble View, you can trigger operations for calculating semantic similarity and contextual links between words.

You can resize a workbench from the bottom-right corner

or maximize it by clicking the "maximize" symbol at the top-right corner.

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