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Material Detail

Data Cleaning and Preprocessing - Making Data Fit for Analysis | Prep4Uni.online

Data Cleaning and Preprocessing - Making Data Fit for Analysis | Prep4Uni.online

A practical guide to preparing data for analysis and modeling. Covers missing values, outliers, inconsistent formats, noisy data, feature preparation, and common preprocessing steps that improve validity and reproducibility. Emphasizes careful judgment: cleaning can reduce errors, but careless cleaning can distort truth.

Keywords:
data quality, data cleaning, normalization, reproducibility, preprocessing, missing data, feature engineering, outliers, encoding, data preparation
Disciplines:
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More about this material

Material Type:
Reference Material
Date Added to MERLOT:
December 18, 2025
Date Modified in MERLOT:
December 29, 2025
Author:
 
Submitter:
Jacob Gan
Primary Audience:
High School, College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
Yes
Creative Commons:
Creative Commons License
This work is licensed under a CC0 1.0 Universal

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