Data Cleaning
(การทำความสะอาดข้อมูล)
Definition
Data Cleaning (การทำความสะอาดข้อมูล) Hard Skill
The process of detecting, correcting, and removing inaccurate, incomplete, or irrelevant data from datasets to ensure data quality and reliability for analysis.
Expertise Level
Level 1
Basic
1. Can identify obvious errors and inconsistencies in data.
2. Understands basic data formats and common data quality issues.
3. Able to perform simple corrections like fixing typos or removing duplicates.
Level 2
Intermediate
1. Able to apply data validation rules to identify subtle errors.
2. Uses tools or software to automate parts of the cleaning process.
3. Handles missing data appropriately using standard techniques.
Level 3
Advanced
1. Can design and implement comprehensive data cleaning workflows.
2. Identifies deeper data quality issues such as bias or structural problems.
3. Integrates cleaning processes with data pipelines for ongoing data maintenance.
