{"id":9074,"date":"2025-12-13T07:02:23","date_gmt":"2025-12-13T07:02:23","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/12\/13\/eda-in-public-part-1-cleaning-exploring-sales-data-with-pandas\/"},"modified":"2025-12-13T07:02:23","modified_gmt":"2025-12-13T07:02:23","slug":"eda-in-public-part-1-cleaning-exploring-sales-data-with-pandas","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/12\/13\/eda-in-public-part-1-cleaning-exploring-sales-data-with-pandas\/","title":{"rendered":"EDA in Public (Part 1): Cleaning and Exploring Sales Data with\u00a0Pandas"},"content":{"rendered":"<p>    EDA in Public (Part 1): Cleaning and Exploring Sales Data with\u00a0Pandas<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Hey everyone! Welcome to the start of a major data journey that I\u2019m calling \u201cEDA in Public.\u201d For those who know me, I believe the best way to learn anything is to tackle a real-world problem and share the entire messy process\u200a\u2014\u200aincluding mistakes, victories, and everything in between. If you\u2019ve been looking to level up [\u2026]<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/eda-in-public-part-1-cleaning-exploring-sales-data-with-pandas\/\">EDA in Public (Part 1): Cleaning and Exploring Sales Data with\u00a0Pandas<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Ibrahim Salami<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/eda-in-public-part-1-cleaning-exploring-sales-data-with-pandas\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>EDA in Public (Part 1): Cleaning and Exploring Sales Data with\u00a0Pandas Hey everyone! Welcome to the start of a major data journey that I\u2019m calling \u201cEDA in Public.\u201d For those who know me, I believe the best way to learn anything is to tackle a real-world problem and share the entire messy process\u200a\u2014\u200aincluding mistakes, victories, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,243,83,4414,4415,160,157],"tags":[84,3747,4416],"class_list":["post-9074","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-analytics","category-data-science","category-eda-in-python","category-exploratory-data-analysis","category-programming","category-python","tag-data","tag-eda","tag-public"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9074"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=9074"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9074\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=9074"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=9074"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=9074"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}