SwiftQuery: Zing's new drag and drop question builder

Zing’s new SwiftQuery interface lets you visually create charts, tables, and dashboards by simply dragging and dropping fields onto a graph. SwiftQuery works on iOS, Android, and the web and shows a live preview as you build questions.

Use aggregations, filters, dimensional splits, time aggregations, formatting, and varied chart / data table types to get exactly what you want.

Once you’ve created as question, save it to share with colleagues, add to a dashboard, embed in your own products, or create real-time alerts on top of.

Accessing the SwiftQuery Editor

  1. From the home screen (or sources screen) on the Zing mobile app or web app, tap on a table. 
  2. Tap the ‘drag and drop editor’ icon in the top right
  3. Tap and hold on field, then drag it to one of the drop targets:
    • X-axis
    • Y-axis
    • Y2 axis (for graphs with series you want shown on different y-axis scales)
    • Dimension (for splits by some attribute)
    • Filter (to limit results to certain values, or apply INCLUDES, EXCLUDES, or other conditions)
  4. Optionally, you can apply formatting to a chart including:
    • Axis labels
    • Tick marks
    • Series colors
    • Number style and decimal points
    • Date style (e.g. 1 June 2023 vs. June 1, 2023 vs 2023/06/01, amongst many others)
    • Legend presence / absence
    • Sort order (low -> high, high->low based on x-axis or y-axis)
  5. Run the question
  6. Optionally:
    • Save the question to add to a dashboard
    • Share with colleagues within your organization (or if allowed in admin settings, people outside your organization)
    • Export a PNG of the your graph
    • Export a CSV of the data for the graph
    • Add an alert to be notified when some threshold is hit
    • Generate an shareable link (if allowed in admin settings)
    • Embed this into your own website

Related articles

Download Zing For Free

Available on iOS, Android, and the web

Learn how Zing can help you and your organization collaborate with data

Schedule Demo