SciDAVis

by SciDAVis team

SciDAVis is a free cross-platform data analysis and visualization program.

Operating system: Windows

Publisher: SciDAVis team

Release : SciDAVis 2.7

Antivirus check: passed

Last revision: Last week

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SciDAVis is a powerful and user friendly data analysis and visualization software developed by the Konstanz Information Miner (KIM) group. SciDAVis is designed to provide an intuitive and interactive environment for data analysis and visualization. It has a wide range of features that make it an ideal tool for scientists and researchers.

The main features of SciDAVis are:

Data Import: SciDAVis is capable of importing data from a variety of sources such as spreadsheets, databases, and text files. It can also read data from other programs such as Gnuplot, Origin, and Matlab.

Data Analysis: SciDAVis offers a wide range of data analysis tools such as regression analysis, statistical tests, and curve fitting. It also provides a variety of graphical tools such as histograms, scatter plots, and box plots.

Data Visualization: SciDAVis allows users to easily create interactive and customizable graphs and charts. It includes a wide range of plotting options such as 3-D plots, surface plots, and contour plots.

Data Export: SciDAVis is capable of exporting data in a variety of formats such as text, images, and vector graphics.

Programming Interface: SciDAVis provides a powerful scripting interface which allows users to automate tasks and create custom analysis tools.

Documentation: SciDAVis includes a comprehensive manual and online tutorials to help users get started quickly and easily.

These features make SciDAVis a powerful and versatile data analysis and visualization tool. It is easy to use and provides a wide range of features that make it suitable for a variety of data analysis tasks.
SciDAVis is a cross-platform data analysis and visualization program. It runs on Windows, macOS, and Linux. The minimum system requirements are as follows:

Operating System: Windows XP, Vista, 7, 8, 10; macOS 10.7 or higher; Linux

Processor: Pentium 4 or higher

Memory: 1 GB RAM

Hard Disk Space: 50 MB free

Graphics: 1024×768 (or higher) resolution with 16-bit or higher color depth

Additional Software: QT library version 4.6 or higher
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Dylan Teune
SciDAVis is a powerful data analysis and visualisation software that provides a flexible environment for data processing and plotting. The software is easy to use and user friendly. I found the customisation of graphs, tables and plots to be quite user-friendly. The software also offers a wide range of tools for data manipulation, including sorting, filtering and calculation of descriptive statistics. It is also possible to export data to other formats such as CSV and XLS for further analysis. The help menu is quite useful, providing detailed explanations and tutorials. The plotting features are also very useful, allowing you to create interactive plots and graphs. Overall, SciDAVis is a great software for data analysis and visualisation.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Harrison Q.
SciDAVis is an intutitive and easy to use data analysis and visualisation softare. The user interface is straightforward and the software is packed with useful features. I found the graphing options a litle limited however and it is not always the most reliable - I have had a few crashes during my time using it. The user manual is also quite confusing and not always helpful.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Michael Nush
SciDAVis is a free and open-source software designed for data analysis and visualization. It provides a user-friendly interface for creating plots, graphs, and charts from various data sources. It supports a wide range of data formats and allows users to perform statistical analysis, curve fitting, and mathematical functions. Additionally, it offers customization options for axes, colors, labels, and legends. SciDAVis is cross-platform and available for Windows, Mac OS X, and Linux.
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