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Microsoft Graph supports many different types of charts, but its output is dated. Office 2003 was the last version to use Microsoft Graph for hosting charts inside Office applications as OLE objects. Office 2007 – specifically, Excel 2007 – includes a new integrated charting engine, and the charts are native to the applications. The new ...
Historical office suite still available and supported. It includes a spreadsheet. Google Sheets – as part of Google Workspace suite, supporting both offline and online editing. IBM Lotus Symphony – freeware for MS Windows, Apple Mac OS X and Linux. Kingsoft Office Spreadsheets 2012 – For MS Windows. Both free and paid versions are available.
Microsoft 365 is a product family of productivity software, collaboration and cloud-based services owned by Microsoft.It encompasses online services such as Outlook.com, OneDrive, Microsoft Teams, programs formerly marketed under the name Microsoft Office (including applications such as Word, Excel, PowerPoint, and Outlook on Microsoft Windows, macOS, mobile devices, and on the web), and ...
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PAST includes functions for data management, data visualisation through graphics, univariate and multivariate analysis procedures as well as linear and non-linear modelling. There are also functions for diversity calculation, time series analysis, geostatistical and stratigraphic analysis. [3] The operation is basically mouse-controlled.
In project management, trend analysis is a mathematical technique that uses historical results to predict future outcome. This is achieved by tracking variances in cost and schedule performance. In this context, it is a project management quality control tool. [4] [5]
Several tools with combined sampling and call-graph profiling. A set of visualization tools, VCG tools, uses the Call Graph Drawing Interface (CGDI) to interface with gprof. Another visualization tool that interfaces with gprof is KProf. Free/open source - BSD version is part of 4.2BSD and GNU version is part of GNU Binutils (by GNU Project) HWPMC
Historical simulation in finance's value at risk (VaR) analysis is a procedure for predicting the value at risk by 'simulating' or constructing the cumulative distribution function (CDF) of assets returns over time assuming that future returns will be directly sampled from past returns.