In this revision, I improved the heatmap and the interactive data table to enhance usability and clarity. For the heatmap, I cleaned up the merging process to ensure that state names matched correctly and removed any missing values to avoid plotting errors. This refinement ensures that the visualization accurately represents temperature forecast errors across states without inconsistencies. The interactive data table was also improved by filtering out states with missing names and structuring the data more efficiently. Now, users can search, sort, and explore state-level forecast errors without dealing with incomplete entries. These adjustments make both visualizations cleaner, more reliable, and easier to interpret. It also improves the effectiveness of the analysis.

State-Level Temperature Forecast Errors




#Citation

https://stackoverflow.com/questions/25086500/ggplot2-assign-symbol-fill-based-on-fact

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https://r-graph-gallery.com/79-levelplot-with-ggplot2.html

https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/as.data.frame

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