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It summarizes how to read and write spreadsheet data, orchestrate operations via email and connectors, and perform common preparation steps such as filtering, cleaning missing values and duplicate handling, merging datasets, and generating values. It also outlines visualization patterns and date-time transformation functions, plus guidance for node actions, configuration, execution states, and starter resources.",{"@graph":63,"@context":118},[64,80,101],{"@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":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/spreadsheet-cheat-sheet-v5/571547/",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/spreadsheet-cheat-sheet-v5/571547.png","ImageObject",442,249,{"name":88,"@type":89},"Oliver","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-21","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":47},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What does the cheat sheet cover for KNIME spreadsheet workflows?","Question",{"text":108,"@type":109},"It covers key KNIME nodes and workflow building blocks for spreadsheet users, including reading and writing spreadsheet data, orchestration, visualization, filtering, cleaning, value creation, date-time handling, merging, and data aggregation.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How can KNIME handle missing values and duplicates according to the cheat sheet?",{"text":113,"@type":109},"It describes a cleaning strategy to replace missing values either globally across all columns or individually per column. It also lists filters/operations such as Duplicate Row Filter and Column Merger as part of data cleaning.",{"name":115,"@type":106,"acceptedAnswer":116},"What visualization and date-time features are highlighted?",{"text":117,"@type":109},"Visualization sections explain partition-based aggregated metrics using bar/line style and circular slice-style representations. Date&Time handling includes extracting date-time fields into new columns, shifting date/time by a duration or granularity, and computing date-time differences.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},571547,1792316283,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":47,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":73,"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":9},8796095461610,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Cheat Sheet: KNIME for Spreadsheet Users  \nEarly access of KNIME Analytics Platform Version 5  \n|  |  |\n| --- | --- |\n| ORCHESTRATION |  |\n| | Sends HTML or plaintext emails from an external SMTP server. Attachments from the filesystem may also be included. |\n\nREAD DATA  \nExcel Reader  \nGoogle Sheets Reader  \nGoogle Authenticator  \nMicrosoft Authenticator  \n|  |\n| --- |\n| \u003Cbr>WRITE DATA |\n| Excel Writer\u003Cbr>\u003Cbr>\u003Cbr>Google Sheets Writer\u003Cbr>\u003Cbr>\u003Cbr>Google Sheets Connector\u003Cbr>\u003Cbr>\u003Cbr>SharePoint Online Connector\u003Cbr>\u003Cbr>|\n\n• E-Books: KNIME Advanced Luck covers advanced features & more. Practicing Data Science is a collection of data science case studies from past projects. Both available at [knime.com/knimepress](knime.com/knimepress)  \n• KNIME Blog: Engaging topics, challenges, industry news, & knowledge nuggets at [knime.com/blog](knime.com/blog)  \n• E-Learning Courses: Take our free online self-paced courses to learn about the different steps in a data science project (with exercises & solutions to test your knowledge) at [knime.com/](knime.com/)  \nknime-self-paced-courses  \n• KNIME Community Hub: Browse and share workflows, nodes, and components. Add ratings, or comments to other workflows at [hub.knime.com](hub.knime.com)  \n• KNIME Forum: Join our global community & engage in conversations at [forum.knime.com](forum.knime.com)  \n• KNIME Business Hub : For team-based collaboration, automation, management, & deployment check out KNIME Business Hub at [knime.com/knime-business-hub](knime.com/knime-business-hub)  \n\n| \u003Cbr>VISUALIZATION |  |\n| --- | --- |\n| | Visualizes one or more aggregated metrics for different data partitions with rectangular bars where the heights are proportional to the metric values. The partitions are defined by a categorical column. Plots numerical values in data columns (y-axis) against values in a reference column (x-axis) . Data points are connected via colored lines. If the reference column on the x-axis contains sorted time values, the line plot graphically represents the evolution of a time series.\u003Cbr>Plots multiple numerical data columns on top of each other using the previous line as the base reference. The areas in between lines are colored for easier comparison. This chart is commonly used to visualize trending topics.\u003Cbr>Visualizes one aggregated metric for different data partitions with colored slices on a circle where the areas are proportional to the metric values. The partitions are defined by a categorical column. |\n\nFILTERING  \nRow Filter  \nColumn Filter  \nTop k Row Filter  \nTable Cropper  \n| \u003Cbr>CLEANING |  |\n| --- | --- |\n| | Defines and applies a strategy to replace missing values in the input table-either globally on all columns, or individually for each column seperately. |\n| Duplicate Row Filter\u003Cbr>Column Merger\u003Cbr>\u003Cbr>|  |\n\n\n| \u003Cbr>VALUE CREATION\u003Cbr>Math Formula\u003Cbr>Column Renamer String Replacer\u003Cbr>|  |\n| --- | --- |\n| | |\n\n\n| \u003Cbr>DATE&TIME HANDLING |  |\n| --- | --- |\n| | Extracts selected date and time fields from a selected column of type Date&Time and appends their values in new columns.\u003Cbr>Shifts a selected date or time with a defined duration or granularity. The shift value can either be a duration column ora numerical column. A positive shift value is added to the selected date/time, a negative value will be subtracted. |\n| Date&Time Difference\u003Cbr>|  |\n\n\n|  |\n| --- |\n| \u003Cbr>MERGING |\n| Concatenate\u003Cbr>\u003Cbr>Joiner\u003Cbr>\u003Cbr>Value Lookup\u003Cbr>\u003Cbr>Column Appender\u003Cbr>\u003Cbr>|\n\n\n| \u003Cbr>DATA AGGREGATION |  |  |\n| --- | --- | --- |\n| | Table Splitter Row Aggregator |  |\n|  | | |\n\nGetting started with KNIME Analytics Platform  \n• Use the Getting Started Guide to take your first steps with visual workflows at:  \n[www.knime.com/early-access-knime-ap-v5-getting-started](www.knime.com/early-access-knime-ap-v5-getting-started)  \n• Learn more about included nodes and explore working examples in the KNIME Analytics Platform Version 5 Starter Perspective Collection on KNIME Community Hub.  \nNode Action Bar:","cbCaikDCMOHBmBYX","https://ap.wps.com/l/cbCaikDCMOHBmBYX","pdf",11551486,"English","# ORCHESTRATION\n# READ DATA\n## Excel Reader\n## Google Sheets Reader\n# WRITE DATA\n## Excel Writer\n## Google Sheets Writer\n# VISUALIZATION\n## Line/Time series visualization\n## Partition metrics with slices\n# FILTERING\n## Row Filter\n## Column Filter\n## Top k Row Filter\n## Table Cropper\n# CLEANING\n## Missing value replacement\n## Duplicate Row Filter\n## Column Merger\n# VALUE CREATION\n## Math Formula\n## Column Renamer\n## String Replacer\n# DATE&TIME HANDLING\n## Date&Time extraction\n## Date&Time shifting\n## Date&Time difference\n# MERGING\n## Concatenate\n## Joiner\n## Value Lookup\n## Column Appender\n# DATA AGGREGATION\n## Table Splitter\n## Row Aggregator","[{\"question\":\"What does the cheat sheet cover for KNIME spreadsheet workflows?\",\"answer\":\"It covers key KNIME nodes and workflow building blocks for spreadsheet users, including reading and writing spreadsheet data, orchestration, visualization, filtering, cleaning, value creation, date-time handling, merging, and data aggregation.\"},{\"question\":\"How can KNIME handle missing values and duplicates according to the cheat sheet?\",\"answer\":\"It describes a cleaning strategy to replace missing values either globally across all columns or individually per column. It also lists filters/operations such as Duplicate Row Filter and Column Merger as part of data cleaning.\"},{\"question\":\"What visualization and date-time features are highlighted?\",\"answer\":\"Visualization sections explain partition-based aggregated metrics using bar/line style and circular slice-style representations. Date\\u0026Time handling includes extracting date-time fields into new columns, shifting date/time by a duration or granularity, and computing date-time differences.\"}]","Spreadsheet cheat sheet v5 | PDF",1791922263]