readme update and docstring update

README.md

@@ -33,11 +33,17 @@ from pyeda.pymissing_values_summary import missing_values_summary
 from pyeda.data_summary import get_summary_statistics
 
 # Check if the given data file is in csv format
-data_file_path = "data.csv"  # path to your data file
+data_file_path = "docs/sample_data.csv"  # path to your data file
 if not check_csv(data_file_path):
     raise TypeError("The given file is not in CSV format. Please check your data file.")
 
 # Check if the data file has any missing values
+df = pd.read_csv(data_file_path)
+
+missing_summary = missing_values_summary(df)
+print("Missing Values Summary:")
+print(missing_summary)
+
 
 # Get data summary
 ```

src/pyeda/pymissing_values_summary.py

@@ -15,6 +15,7 @@ def missing_values_summary(df):
 
     Examples
     --------
+    >>> from pyeda.pymissing_value import missing_values_summary
     >>> missing_values_summary(df)
     """
     # Calculate the count of missing values for each column