Data Engineering with Python by Paul Crickard

Author:Paul Crickard
Language: eng
Format: epub, mobi
Publisher: Packt Publishing Pvt Ltd
Published: 2020-10-23T00:00:00+00:00

Figure 6.7 – Bar chart of created_at counts by month

Save the bar chart and name it scf-bar, or anything that you will be able to associate with the SeeClickFix data.

Next, select visualization again and choose metric. You will only add a custom label under the Metrics options. I chose Issues. By doing this, you remove the default count that gets placed under the numbers in the metric. This visualization is giving us a count of issues and will change when we apply filters in the dashboard. The configuration is shown in the following screenshot:

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.