--- title: Medium | daily.dev description: A walkthrough of analyzing a vintage clothing sales dataset using Microsoft Excel. Covers data cleaning steps (removing duplicates, handling missing values,... canonical: https://daily.dev/posts/medium-ddtgrimuc twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Medium | daily.dev og:description: A walkthrough of analyzing a vintage clothing sales dataset using Microsoft Excel. Covers data cleaning steps (removing duplicates, handling missing values,... og:url: https://daily.dev/posts/medium-ddtgrimuc og:image: https://api.daily.dev/og/posts/DDTGRIMUc.png og:image:alt: Medium 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. # Medium **[Medium](https://daily.dev/sources/medium_js)** · 4 min read · 0 upvotes · 0 comments ## Summary A walkthrough of analyzing a vintage clothing sales dataset using Microsoft Excel. Covers data cleaning steps (removing duplicates, handling missing values, fixing formatting), building PivotTables and PivotCharts, and creating an interactive dashboard with slicers. Key findings include regional revenue differences, seasonal sales patterns, dominant sales channels, and customer demographics. Concludes with business recommendations around inventory, marketing, and payment methods. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Medium](https://daily.dev/posts/medium-tvfnavhi5) · Medium · 0 upvotes · 0 comments - [EDA in Public \(Part 1\): Cleaning and Exploring Sales Data with Pandas](https://daily.dev/posts/eda-in-public-part-1-cleaning-and-exploring-sales-data-with-pandas-wohue8txv) · Towards Data Science · 1 upvotes · 0 comments --- Tags: [#data-analysis](https://daily.dev/tags/data-analysis), [#data-visualization](https://daily.dev/tags/data-visualization) [View this post on daily.dev](https://daily.dev/posts/medium-ddtgrimuc) ```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":"Medium","url":"https://daily.dev/posts/medium-ddtgrimuc","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/medium-ddtgrimuc"},"datePublished":"2026-07-23T16:08:57.173Z","dateModified":"2026-07-23T16:10:47.647Z","description":"A walkthrough of analyzing a vintage clothing sales dataset using Microsoft Excel. Covers data cleaning steps (removing duplicates, handling missing values,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d9454146a76a9064ded6a2b06583eddf?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d9454146a76a9064ded6a2b06583eddf?_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/medium-ddtgrimuc","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-analysis,data-visualization","timeRequired":"PT4M"} {"@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":"Medium"}]} ```