Intercomparison results table generation update

[ivanzvonkov]

Key Change: For mean metrics, take mean of the standard errors not standard deviation

Before

mean = country_df[country_df['dataset'].isin(map_order)][metric].mean()
std = country_df[country_df['dataset'].isin(map_order)][err].std()
latex_table += "& ${:.2f}\pm{:.2f}$ ".format(mean, std)

After

mean = country_df[country_df['dataset'].isin(map_order)][metric].mean()
std = country_df[country_df['dataset'].isin(map_order)][err].mean() # Changed from std to mean
latex_table += "& ${:.2f}\pm{:.2f}$ ".format(mean, std)

Updated the table in overleaf

[review-notebook-app[bot]]

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