Badulla Badu Numbers Verified Upd

import pandas as pd df = pd.read_csv("badulla_badu_numbers.csv", parse_dates=["Date"], dayfirst=True) # Schema required = ["ID","Location","Category","Count","Date","Source"] missing = [c for c in required if c not in df.columns] # Type and range checks df["Count_num"] = pd.to_numeric(df["Count"], errors="coerce") negatives = df[df["Count_num"] < 0] missing_counts = df["Count_num"].isna().sum() # Duplicates dups = df[df.duplicated(subset=["ID"], keep=False)] # Aggregation total = df["Count_num"].sum() outliers = df[(df["Count_num"] - df["Count_num"].mean()).abs() > 3*df["Count_num"].std()] print(missing, len(df), missing_counts, len(negatives), len(dups), total, len(outliers))

With this growth comes an increase in online classifieds, localized services, and digital peer-to-peer marketplaces. In regions like Badulla, the capital of the Uva Province, the demand for verified local contacts—often searched under terms like "Badulla badu numbers verified"—has surged significantly. badulla badu numbers verified

To earn the label “Badulla Badu Numbers Verified,” a dataset or claim must pass the following four informal tests: import pandas as pd df = pd

Do not provide your NIC number, banking details, or home address to unverified contacts over the phone. dayfirst=True) # Schema required = ["ID"