Cleaning Address Data with Pandas in Python for Data Analysts

I am using string methods to fix mess address data. You can get the dataset by simply copying the code below which will create a data frame. We are using SPLIT, TITLE and REPLACE functions in this video. These functions are part of the string method. Add STR to any column to initiate the functions. You can see a full video on how to clean data with Python here: https://www.youtube.com/watch?v=w3jQyl8ojJA&t=15s #python #pandas #datacleaning Code Used for the Dataset ------------------------------------------------------------------------------- import pandas as pd data = {'address': [ '123 main street, cityville, CA, 12345', '456 Elm Avenue, townsville, NY, 67890', '789 Oak Road, suburbia, Texas, 54321', '101 Pine Lane, ruraltown, AZ, 98765', '321 Maple Drive, hamletville, WA, 23456' ]} df = pd.DataFrame(data) Background Music ________________________________________________________________ Slowly by Tokyo Music Walker | https://soundcloud.com/user-356546060 Music promoted by https://www.free-stock-music.com Creative Commons / Attribution 3.0 Unported License (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/deed.en_US