A huge thank you to @jef.works for incredible guidance & mentorship, and to our reviewers for their thoughtful feedback. This has been an amazing journey! 🙌
7/7
#RStats #DataViz #SpatialTranscriptomics #OpenScience #LatinxInTech
A huge thank you to @jef.works for incredible guidance & mentorship, and to our reviewers for their thoughtful feedback. This has been an amazing journey! 🙌
7/7
#RStats #DataViz #SpatialTranscriptomics #OpenScience #LatinxInTech
📦 CRAN: cran.r-project.org/web/packages...
💻 GitHub: github.com/JEFworks-Lab...
📚 Docs & Tutorials: jef.works/scatterbar/
6/7
📦 CRAN: cran.r-project.org/web/packages...
💻 GitHub: github.com/JEFworks-Lab...
📚 Docs & Tutorials: jef.works/scatterbar/
6/7
We visualized deconvolved cell-type proportions in an adult mouse brain using scatterpie vs. scatterbar. The result? Scatterbar made proportional differences easier to interpret than scatter pie plots! 🧠🎉
5/7
We visualized deconvolved cell-type proportions in an adult mouse brain using scatterpie vs. scatterbar. The result? Scatterbar made proportional differences easier to interpret than scatter pie plots! 🧠🎉
5/7
Enter scatterbar 📊✨
Instead of pie charts, scatterbar uses stacked bar plots:
✅ More precise comparisons using bar lengths
✅ Better use of space with aligned bars
✅ Enhanced visual saliency for detecting subtle changes
4/7
Enter scatterbar 📊✨
Instead of pie charts, scatterbar uses stacked bar plots:
✅ More precise comparisons using bar lengths
✅ Better use of space with aligned bars
✅ Enhanced visual saliency for detecting subtle changes
4/7
Pie charts encode data using angles, which makes comparisons harder than using bar lengths—especially for subtle differences. Studies show bars are more readable and accurate than pie slices, so we need a better approach!
3/7
Pie charts encode data using angles, which makes comparisons harder than using bar lengths—especially for subtle differences. Studies show bars are more readable and accurate than pie slices, so we need a better approach!
3/7
#SpatialTranscriptomics (ST) enables high-throughput gene expression profiling at multi-cellular pixel resolution. Accurately visualizing cell-type proportions & spatial changes is crucial for understanding tissue organization & disease mechanisms.
2/7
#SpatialTranscriptomics (ST) enables high-throughput gene expression profiling at multi-cellular pixel resolution. Accurately visualizing cell-type proportions & spatial changes is crucial for understanding tissue organization & disease mechanisms.
2/7