Learning data analytics/clean data
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I am a freelance WebDeveloper looking for a fulltime employment focusing on front-end technologies Javascript, CSS, Figma and frameworks such as React, Jquery, NodeJS, ExpressJs, Password etc. currently living in the United Kingdom
Items to add to your data cleaning checklist?
Why are these important to check for?
| Unformatted Data | Standardizing formats enhances readability and prevents misinterpretation, promoting uniformity in the dataset for more effective analysis and reporting. |
| Different Data Types | Homogenizes data for consistency, avoiding processing errors. |
| Duplication | Ensures data integrity by eliminating redundant entries. |
| Missing Values | Essential for complete and accurate analyses. |
