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Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series .
Most spreadsheet programs can read CSV data, allowing CSV to be used as an intermediate format when transferring data from a database to a spreadsheet. CSV is also used for storing data. Common data science tools such as Pandas include the option to export data to CSV for long-term storage. [ 10 ]
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.
In 2006 Google launched a beta release spreadsheet web application, this is currently known as Google Sheets and one of the applications provided in Google Drive. [16] A spreadsheet consists of a table of cells arranged into rows and columns and referred to by the X and Y locations. X locations, the columns, are normally represented by letters ...
Tab-separated values (TSV) is a simple, text-based file format for storing tabular data. [3] Records are separated by newlines, and values within a record are separated by tab characters.
Row labels are used to apply a filter to one or more rows that have to be shown in the pivot table. For instance, if the "Salesperson" field is dragged on this area then the other output table constructed will have values from the column "Salesperson", i.e., one will have a number of rows equal to the number of "Sales Person". There will also ...
Tabs may appear in a horizontal bar or as a vertical list. Horizontal tabs may have multiple rows. In some cases, tabs may be reordered or organized into multiple rows through drag and drop interactions. Implementations may support opening an existing tab in a separate window or range-selecting multiple tabs for moving, closing, or separating ...
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.