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Data graph: Specifies whether the product provides graphs of results. Export (CSV): Specifies whether the product support exporting selected rows to a comma-separated values formatted file. Usually also implies capability to the clipboard (in CSV format) for pasting into applications supporting pasting from CSV files such as Excel.
Analysis tools, which are used to perform statistical or process analysis; Program management tools, used to manage and track a corporation's entire Six Sigma program; DMAIC and Lean online project collaboration tools for local and global teams; Data Collection tools that feed information directly into the analysis tools and significantly ...
Older (.OPJ), but not newer (.OPJU), Origin project files can be read by the open-source LabPlot or SciDAVis software. The files can also be read by QtiPlot but only with a paid "Pro" version. Finally the liborigin [1] library can also read .OPJ files such as by using the opj2dat script, which exports the data tables contained in the file.
Monarch allows users to re-use information from existing computer reports, such as text, PDF and HTML files. Monarch can also import data from OLE DB/ODBC data sources, spreadsheets and desktop databases. Users define models that describe the layout of data in the report file, and the software parses the data into a tabular format. The parsed ...
JMP software is partly focused on exploratory data analysis and visualization. It is designed for users to investigate data to learn something unexpected, as opposed to confirming a hypothesis. [ 5 ] [ 26 ] [ 43 ] JMP links statistical data to graphics representing them, so users can drill down or up to explore the data and various visual ...
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
Microsoft describes Logparser as a powerful, versatile tool that provides universal query access to text-based data such as log files, XML files and CSV files, as well as key data sources on the Windows operating system such as the Event Log, the Registry, the file system, and Active Directory.
Pandas is built around data structures called Series and DataFrames. Data for these collections can be imported from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. [8] A Series is a 1-dimensional data structure built on top of NumPy's array.