Data Analysis using Google Sheets

 


Data Analysis using Google Sheets

In 2006, Google Sheets was first released as Google Spreadsheets. Later, Google acquired Writely, which changed its name to Google Docs. The development of Google Sheets as a component of the broader Google Docs suite was aided by this.Google Sheets is a web-based spreadsheet tool that is widely used for data analysis and collaboration. It offers features like formulas, pivot tables, and built-in functions for tasks such as data cleaning, sorting, filtering, and visualization. Its integration with Google Workspace allows seamless collaboration, where multiple users can work on the same sheet in real-time. With add-ons and integrations like Google Apps Script, Sheets can handle advanced tasks like automation, data imports, and connections to APIs. Additionally, its ability to create charts and graphs, coupled with accessibility from any device with an internet connection, makes it a versatile tool for data analysis, especially for small to medium-sized datasets.Google Sheets is a versatile tool for data analysis, offering a range of features for managing and interpreting data effectively. It supports functions for data manipulation, such as sorting, filtering, and using formulas like VLOOKUP and QUERY for advanced searches. For visual representation, Google Sheets allows users to create dynamic charts and graphs, making it easy to spot trends and patterns. Its collaborative features enable multiple users to work on datasets in real time, which can be particularly useful for team projects like managing placements or job application tracking. With add-ons and integration capabilities, such as connecting to external databases or using tools like Apps Script for automation, Google Sheets can scale up to handle various analytical tasks efficiently.

Paras Panchal
Priyanshu Pal

SY BSc.IT

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