[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-572212-105":53,"doc-detail-572212-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","sql-for-data-science-basics-cheat-sheet","SQL for Data Science - Basics Cheat Sheet","","This SQL for Data Science cheat sheet provides a concise and practical reference for data professionals and learners. It covers foundational SQL operations, including query structure, numeric and text filtering, and handling missing data. The document illustrates essential SQL commands such as SELECT, FROM, WHERE, and ORDER BY, alongside advanced aggregation techniques like SUM, AVG, MIN, and MAX with GROUP BY and HAVING clauses. Designed for quick lookup, the guide uses a sample airbnb_listings table to demonstrate real-world application of SQL syntax. It serves as an indispensable resource for beginners to master structured query language, offering clear examples for data extraction, sorting, filtering, and summarization, ultimately facilitating efficient data manipulation and analysis workflows for various data science tasks.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/sql-for-data-science-basics-cheat-sheet/572212/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/sql-for-data-science-basics-cheat-sheet/572212.png","ImageObject",442,249,{"name":88,"@type":89},"Rizky","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-22","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",8,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What is SQL used for in data science?","Question",{"text":109,"@type":110},"SQL is used to query, analyze, and manipulate data from databases, serving as a fundamental tool for data professionals.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How do you retrieve specific columns from a table?",{"text":114,"@type":110},"Use the SELECT statement followed by the column names and the FROM clause specifying the table name, for example: SELECT city, year_listed FROM airbnb_listings;.",{"name":116,"@type":107,"acceptedAnswer":117},"How can you filter results based on aggregate conditions?",{"text":118,"@type":110},"To filter groups after aggregation, use the HAVING clause, for example: SELECT year_listed FROM airbnb_listings GROUP BY year_listed HAVING COUNT(id) > 100;.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},572212,1792039264,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":60,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":9,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":4},962085564807,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","cbCaibF8Ibn57RYW","https://ap.wps.com/l/cbCaibF8Ibn57RYW","pdf",3970520,"English","# Querying Tables\n## Filtering Data\n## Aggregating Data\n## Filtering on Missing Data","[{\"question\":\"What is SQL used for in data science?\",\"answer\":\"SQL is used to query, analyze, and manipulate data from databases, serving as a fundamental tool for data professionals.\"},{\"question\":\"How do you retrieve specific columns from a table?\",\"answer\":\"Use the SELECT statement followed by the column names and the FROM clause specifying the table name, for example: SELECT city, year_listed FROM airbnb_listings;.\"},{\"question\":\"How can you filter results based on aggregate conditions?\",\"answer\":\"To filter groups after aggregation, use the HAVING clause, for example: SELECT year_listed FROM airbnb_listings GROUP BY year_listed HAVING COUNT(id) \\u003e 100;.\"}]","SQL for Data Science - Basics Cheat Sheet | PDF",1791926170]