{"id":648201,"date":"2020-04-07T06:52:27","date_gmt":"2020-04-07T13:52:27","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=648201"},"modified":"2023-02-21T03:27:11","modified_gmt":"2023-02-21T11:27:11","slug":"gridlets-reusing-spreadsheet-grids","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/gridlets-reusing-spreadsheet-grids\/","title":{"rendered":"Gridlets: Reusing Spreadsheet Grids"},"content":{"rendered":"
Spreadsheets allow end users to blend calculations with arbitrary layout and formatting. However, when it comes to reusing groups of formulae along with layout and format-ting, spreadsheets provide only limited support. Most users rely on copy and paste, which is easy to learn and use, but maintaining several copies can be tedious and error-prone. We present the concept of Gridlets, an abstraction over calculation and presentation applicable in common use case scenarios. Using the Cognitive Dimensions of Notations framework, we compare Gridlets to copy\/paste and sheet-defined functions. We find that Gridlets are consistent with the spreadsheet paradigm, enable users to take advantage of secondary notation, and make common edit operations less viscous and less error-prone.<\/p>\n","protected":false},"excerpt":{"rendered":"
Spreadsheets allow end users to blend calculations with arbitrary layout and formatting. However, when it comes to reusing groups of formulae along with layout and format-ting, spreadsheets provide only limited support. Most users rely on copy and paste, which is easy to learn and use, but maintaining several copies can be tedious and error-prone. We 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Joharizadeh","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Advait Sarkar","user_id":37146,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Advait Sarkar"},{"type":"user_nicename","value":"Jack Williams","user_id":40156,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Jack Williams"},{"type":"user_nicename","value":"Andy Gordon","user_id":30825,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Andy Gordon"}],"msr_impact_theme":[],"msr_research_lab":[199561],"msr_event":[],"msr_group":[371909],"msr_project":[511097],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":511097,"post_title":"Calc Intelligence","post_name":"calc-intelligence","post_type":"msr-project","post_date":"2020-02-17 06:40:29","post_modified":"2023-11-27 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