Update README.md

README.md

@@ -49,4 +49,49 @@ locations=[
     119.5213933664,
     7.2037547089,
 ]
+```
+
+### Some rows are messed up so you should remove the rows with empty values first:
+```
+import pandas as pd
+import numpy as np
+
+# Define the data types for specific columns
+dtype_spec = {
+    'tweet_created_at': str,
+    'tweet_timestamp_ms': str,
+    'tweet_id_str': str,
+    'tweet_lang': str,
+    'tweet_text': str,
+    'tweet_possibly_sensitive': str,
+    'user_id_str': str,
+    'user_screen_name': str,
+    'user_followers_count': str
+}
+
+# Load the CSV file with specified data types
+df = pd.read_csv('extracted_data0.csv', dtype=dtype_spec)
+print(df.dtypes)
+
+# Replace empty strings with NaN
+df.replace('', np.nan, inplace=True)
+# Drop rows where any column is empty (NaN)
+df = df.dropna()
+
+new_dtypes = {
+    'tweet_created_at': str,
+    'tweet_timestamp_ms': int,
+    'tweet_id_str': str,
+    'tweet_lang': str,
+    'tweet_text': str,
+    'tweet_possibly_sensitive': bool,
+    'user_id_str': str,
+    'user_screen_name': str,
+    'user_followers_count': int
+}
+
+df = df.astype(new_dtypes)
+
+# Display the data types to verify
+print(df.dtypes)
 ```