Forum Discussion
Visual that can help compare 2 variables over time
Hello,
I have to analyze some data where I need to compare two attributes and analyze this comparison over time.
Which is the best visual that I can use to achieve this ?
Thank you
Regards
Jigar
Hey JIGAR ,
please create a pbix that contains sample data, upload the file to onedrive or dropbox and share the link. Please provide a little more input.
The most simple approach could be using a line chart, the time is depicted by the x-axis and each line represents one of the both attributes you mentioned.
This article provides some general information about different data visualization types: https://www.datapine.com/blog/how-to-choose-the-right-data-visualization-types/#:~:text=To%20summarize%2C%20here%20are%20the%20top%20data%20visualization,visualizes%202%20or%20more%20variables%20with%20multiple%20dimensions.
I use the following custom visuals to analyze (meaning visualize) the correlations between more complex attributes
- Parallel Coordinates - xViz
- Tassels Parallel Sets Slicer
Hopefully, this provides some new ideas on how to tackle your challenge.
Regards,
Tom
1 Reply
- TomMartensSuper User
Hey JIGAR ,
please create a pbix that contains sample data, upload the file to onedrive or dropbox and share the link. Please provide a little more input.
The most simple approach could be using a line chart, the time is depicted by the x-axis and each line represents one of the both attributes you mentioned.
This article provides some general information about different data visualization types: https://www.datapine.com/blog/how-to-choose-the-right-data-visualization-types/#:~:text=To%20summarize%2C%20here%20are%20the%20top%20data%20visualization,visualizes%202%20or%20more%20variables%20with%20multiple%20dimensions.
I use the following custom visuals to analyze (meaning visualize) the correlations between more complex attributes
- Parallel Coordinates - xViz
- Tassels Parallel Sets Slicer
Hopefully, this provides some new ideas on how to tackle your challenge.
Regards,
Tom