This project focuses on cleaning and organizing a large dataset containing over 500,000 records. The dataset includes personal and job-related information such as names, contact details, and job titles. The main objective was to improve formatting, consistency, and usability for future analysis.
- Microsoft Excel
- Processed and organized a dataset containing 500,000+ records
- Cleaned and formatted key fields such as names, phone numbers, and dates of birth
- Organized job-related fields (job titles) for easier review
- Improved dataset readability and ensured consistent formatting across columns
The dataset includes fields such as:
- User ID, First Name, Last Name
- Sex, Email, Phone
- Date of Birth
- Job Title
The dataset is structured, consistently formatted, and prepared for analysis, filtering, and reporting.
Large_Scale_People_Data_Cleaning.xlsx