Portfolio Description
In this project, I focused on transforming poorly formatted data into a clean, usable format. The process involved meticulous cleaning, where I systematically removed duplicates, eliminated unnecessary whitespaces, and separated combined first and last names into distinct fields. This effort was essential in ensuring the data’s integrity, enabling it to be used effectively for analysis and decision-making.
The data cleaning process involved several critical tasks. Firstly, I identified and removed duplicate entries to ensure data accuracy. Next, I cleaned the data by eliminating extra whitespaces that could cause errors in processing. Finally, I separated the combined first and last names into individual columns, making the dataset more organized and ready for further analysis.
Data Manipulation Techniques
Handling Large Datasets, Systematic Problem Solving Proficiency in Data Cleaning Tools
