Is it over?
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@@ -108,7 +108,7 @@ gammas['Critic_Score_Norm'] = scout.scaling_zscore(gammas, 'Critic_Score')
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print(gammas['Critic_Score_Norm'].head(10))
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# Saving all into a file
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gammas.to_csv("output.csv", index=False)
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gammas.to_csv("datasets/videogames/games_cleanish.csv", index=False)
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# Need similarity and dissimialrity, scipy time
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# Selecting 5 random rows
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@@ -116,4 +116,4 @@ chosen_idx = np.random.choice(len(gammas), replace = False, size = 5)
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sample_rows = gammas.iloc[chosen_idx]
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print(sample_rows.head())
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# scout.dissimilarity(sample_rows.select_dtypes(include = np.number))
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scout.dissimilarity(sample_rows)
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