Ad
related to: summarize data from multiple worksheetsevernote.com has been visited by 100K+ users in the past month
Search results
Results From The WOW.Com Content Network
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data.
In their book Pivot Table Data Crunching, [2] Bill Jelen and Mike Alexander refer to Pito Salas as the "father of pivot tables". While working on a concept for a new program that would eventually become Lotus Improv, Salas noted that spreadsheets have patterns of data. A tool that could help the user recognize these patterns would help to build ...
Modern spreadsheet software can have multiple interacting sheets and can display data either as text and numerals or in graphical form. [ 8 ] Besides performing basic arithmetic and mathematical functions , modern spreadsheets provide built-in functions for common financial accountancy and statistical operations.
An AI assistant to find answers, locate data, and summarize policies. Workforce reports, real-time dashboards, and predictive analytics. Automated talent sourcing, ATS, and onboarding software.
Quattro Pro commonly introduced the idea of multiple sheets in a single book, allowing further subdivision of the data; Excel implements this as a set of tabs along the bottom of the workbook. In contrast, Numbers does not have an underlying spreadsheet in the traditional sense but uses multiple individual tables for this purpose. [5]
Import assets from Google Sheets, Figma, and LucidChart Download documents in multiple formats, including PDFs and Word documents Create responsive business plan documents
It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally. Mondrian OLAP server is an open-source OLAP server written in Java. It supports the MDX query language, the XML for Analysis and the olap4j interface specifications.