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Google Sheets is a spreadsheet application and part of the free, web-based Google Docs Editors suite offered by Google. Google Sheets is available as a web application; a mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft Excel file formats. [5]
Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).
When the computer calculates a formula in one cell to update the displayed value of that cell, cell reference(s) in that cell, naming some other cell(s), causes the computer to fetch the value of the named cell(s). A cell on the same "sheet" is usually addressed as: =A1 A cell on a different sheet of the same spreadsheet is usually addressed as:
Export cell range selection or a selected group of shapes (images) to PNG or JPG; The text/plain Unformatted text format results in unquoted/unescaped content as expected for external pastes; Added "Paste unformatted text" command; New command to select unprotected cells on protected or unprotected sheet; Lock symbol to mark protected sheet
Product Sans is a contemporary geometric sans-serif typeface created by Google for branding purposes. [2] [3] It replaced the old Google logo on September 1, 2015.As Google's branding was becoming more apparent on multiple device types, Google sought to adapt its design so that its logo could be portrayed in constrained spaces and remain consistent for its users across platforms.
The difference is the type of information stored about the cells. In a region quadtree, a uniform value is stored that applies to the entire area of the cell of a leaf. The cells of a PR quadtree, however, store a list of points that exist within the cell of a leaf.
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.