Data Engineering
 with Alteryx by Paul Houghton

Data Engineering
 with Alteryx by Paul Houghton

Author:Paul Houghton
Language: eng
Format: epub
Publisher: Packt Publishing Pvt. Ltd
Published: 2021-05-30T00:00:00+00:00


Choose the fields to fill out the chart: Finally, you need to select the fields that will appear in your chart. Depending on the chart type, you will have different choices for where fields appear. First, we identify the labels for each bar that will appear across the visualization for our bar chart. In this case, we have chosen the field name from the options created by the basic data profile. We have also chosen what field will populate the height of the bars using the % Nulls field that we created.

These steps will allow us to build a basic visualization to display in our view. When you run the workflow, the layers of the interactive chart tool are rendered based on the sorted order fed to the Interactive Chart tool. Therefore, if you want to have a specific sorting in your visualization, you will need to order your data with a Sort tool before the Interactive Chart tool. For example, to create a bar chart sorted in descending order, the largest value must be passed to the interactive chart first, followed by the next largest.

At this point, we have added a reference to our visualization by adding a layer. The reference line was added with a second layer to indicate the cut-off for the Null proportion and a title describing the visualization.



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