Introduction
This week for Workout Wednesday we are getting familiar with the PlotlyJS visual by creating traces and annotations for a connected scatterplot.
Connected scatterplots are a cross between a scatterplot and a lineplot whereby two numeric variables are connected by a third ordered variable (often time).
The below graph created with the PlotlyJS custom visual for Power BI is an adapted from Driving Shifts into Reverse by Hannah Fairfield, for the New York Times; (May 2, 2010).
Please be sure to cite the sources before sharing.
Requirements
- Obtain the data here: https://raw.githubusercontent.com/vega/vega/main/docs/data/driving.json
- Import PlotlyJS custom visual from AppSource
- Drag the fields into the fields well
- Hover over the visual, select More Options then select Edit to edit the visual
- Add Trace
- Select Scatter option, add Miles to X Axis and Gas to Y Axis.
- Select Transform from the Left Menu Bar
- Sort by Year
- Under Traces, select Lines and Text options
- Set colour of points to Variable, select Inferno scheme and order by Year in reverse
- Change the colour of the line to black or a darker shade
- Change the shape of the line to smooth
- Encode Text with the Year field, adjust the font size and set custom text position using the Side field
- Label the Axes
- Add Annotations (tip: you may need to go into the JSON section to hardcode positioning if drag and drop is tetchy)
- Go to Save/Load >> JSON >> Save
- Exit
Dataset
This challenge uses the data for Vega and Vega-Lite example gallery available here: https://raw.githubusercontent.com/vega/vega/main/docs/data/driving.json
Or you can download the PBIX from the Data Stories Gallery
Share
After you finish your workout, share on Twitter using the hashtags #WOW2022 and #PowerBI, and tag @JSBaucke, @MMarie, @shan_gsd, @KerryKolosko, and @NerdyWithData. Also make sure to fill out the Submission Tracker so that we can count you as a participant this week in order to track our participation throughout the year.
Please be sure to cite source before sharing.
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