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Example of Seaborn - Heatmap

# Field Name Data
1 Arxiv URL
2 Visualisation Image
3 Visualisation Caption Spearman’s rank correlation coefficient in terms of frequent attributes
4 Plotting Data 4_plotting_data.tsv (attached in this folder)
5 Code 5_code.py (attached in this folder)
6 Command python 5_code.py
7 Natural Language Request For the given data in "4_plotting_data.tsv", calculate Spearman’s rank correlation coefficient for the columns and plot a heatmap. Please do not display the lower triangle, move the x-axis labels to the top, and make them readable. Mark "PlotCoder", "ChartDialog", and "nvBench" in red. Use a dot style and gray color for the grid. Save the plot to "2_visualisation_image.png" with high quality.