implementing issue 39

src/core.py

@@ -31,10 +31,10 @@ def info(ds: Sequence, indicators: ArrayLike) -> pd.DataFrame:
     # Calculate ratio
     total_responses = len(ds)
     counts_to_total = freq_counts_df["frequency"] / total_responses
-    freq_counts_df["ratio"] = counts_to_total * 100
+    freq_counts_df["ratio %"] = counts_to_total * 100
 
     # Add all indicators
-    summary_df = pd.DataFrame(index=indicators, columns=["frequency", "ratio"])
+    summary_df = pd.DataFrame(index=indicators, columns=["frequency", "ratio %"])
     summary_df.index.name = "indicator"
 
     # Merge the frequency and percent DataFrames
@@ -43,10 +43,10 @@ def info(ds: Sequence, indicators: ArrayLike) -> pd.DataFrame:
     summary_df.fillna(0, inplace=True)
 
     # Calculate cumulative percent
-    summary_df["cumulative"] = summary_df["ratio"].cumsum()
+    summary_df["cumulative"] = summary_df["ratio %"].cumsum()/100
 
     # Set the last cumulative value to 100
-    summary_df.loc[summary_df["cumulative"] > 100, "cumulative"] = 100
+    summary_df.loc[summary_df["cumulative"] > 1, "cumulative"] = 1
 
     # Create the final DataFrame
     return summary_df