--- title: Explain data normalization and standardization. | daily.dev description: A brief overview of two common data preprocessing techniques: normalization (min-max scaling to 0–1 range) and standardization (z-score scaling to mean 0,... canonical: https://daily.dev/posts/explain-data-normalization-and-standardization--mqlsfln6c twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Explain data normalization and standardization. | daily.dev og:description: A brief overview of two common data preprocessing techniques: normalization (min-max scaling to 0–1 range) and standardization (z-score scaling to mean 0,... og:url: https://daily.dev/posts/explain-data-normalization-and-standardization--mqlsfln6c og:image: https://api.daily.dev/og/posts/mqLsfLN6c.png og:image:alt: Explain data normalization and standardization. og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Explain data normalization and standardization. **[Medium](https://daily.dev/sources/medium_js)** · 1 min read · 0 upvotes · 0 comments ## Summary A brief overview of two common data preprocessing techniques: normalization (min-max scaling to 0–1 range) and standardization (z-score scaling to mean 0, standard deviation 1). Covers their formulas, key differences, outlier sensitivity, and which ML algorithms each technique is best suited for, including KNN, K-Means, linear/logistic regression, SVM, and PCA. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [What are outliers, and how do you detect and treat them?](https://daily.dev/posts/what-are-outliers-and-how-do-you-detect-and-treat-them--ve0ucfi4b) · Medium · 0 upvotes · 0 comments - [KNN\(K-Nearest Neighbour\) Explanation](https://daily.dev/posts/knn-k-nearest-neighbour-explanation-3rq9ef5aa) · Medium · 0 upvotes · 0 comments - [Data Modeling for Analytics Engineers: The Complete Primer](https://daily.dev/posts/data-modeling-for-analytics-engineers-the-complete-primer-8nszidmhk) · Towards Data Science · 1 upvotes · 0 comments - [Normalization, Denormalization, and Joins](https://daily.dev/posts/normalization-denormalization-and-joins-kfpparenc) · Towards Dev · 0 upvotes · 0 comments - [The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer](https://daily.dev/posts/the-7-statistical-concepts-you-need-to-succeed-as-a-machine-learning-engineer-n1prnkgnv) · Machine Learning Mastery · 5 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#feature-engineering](https://daily.dev/tags/feature-engineering) [View this post on daily.dev](https://daily.dev/posts/explain-data-normalization-and-standardization--mqlsfln6c) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Explain data normalization and standardization.","url":"https://daily.dev/posts/explain-data-normalization-and-standardization--mqlsfln6c","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/explain-data-normalization-and-standardization--mqlsfln6c"},"datePublished":"2026-07-26T05:47:21.926Z","dateModified":"2026-07-26T05:48:15.584Z","description":"A brief overview of two common data preprocessing techniques: normalization (min-max scaling to 0–1 range) and standardization (z-score scaling to mean 0,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a3ce1c1a8886548eac0efff93d18970b?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a3ce1c1a8886548eac0efff93d18970b?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Medium","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Medium","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium","url":"https://daily.dev/sources/medium_js"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/explain-data-normalization-and-standardization--mqlsfln6c","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,feature-engineering","timeRequired":"PT1M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Medium","item":"https://daily.dev/sources/medium_js"},{"@type":"ListItem","position":3,"name":"Explain data normalization and standardization."}]} ```