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LabPlot
LabPlot is a free software and cross-platform computer program for interactive scientific graphing and data analysis, written for the KDE desktop. It is similar to Origin and is able to import Origin's data files. History and perspective LabPlot was initiated by Stefan Gerlach, a scientist and IT administrator at the University of Konstanz. He separately publisheliborigin a library for reading OriginLab OPJ project files. In 2008, developers of LabPlot and SciDAVis (another Origin clone, forked from QtiPlot) "found their project goals to be very similar" and "decided to start a close cooperation" with the aim of merging their code into a common backend, while maintaining "two frontends, one with full KDE4 integration (called LabPlot 2.x) and one with no KDE dependencies (pure Qt) for easier cross-platform use (called SciDAVis)". In September 2016, LabPlot moved its website frolabplot.sourceforge.nettlabplot.kde.org Features It is scriptable using Qt Script for Applications ( ...
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SciDAVis
SciDAVis (''Scientific Data Analysis and Visualization'') is an open-source cross-platform computer program for interactive scientific graphing and data analysis. Development started in 2007 as fork of QtiPlot, which in turn is a clone of the proprietary program Origin. Features SciDAVis can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. The data is held in spreadsheets, which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). The spreadsheets, as well as graphs and note windows, are gathered in a project and can be organized using folders. The built-in analysis operations include column/row statistics, (de)convolution, FFT and FFT-based filters. Curve fitting can be performed with user-defined or built-in linear and nonlinear functions, including multi-peak fitti ...
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List Of Information Graphics Software
This is a list of software to create any kind of information graphics: * either includes the ability to create one or more infographics from a provided data set * either it is provided specifically for information visualization Vector graphics Vector graphics software can be used for manual graphing or for editing the output of another program. Please see: * :Vector graphics editors * Comparison of vector graphics editors A few online editors using vector graphics for specific needs have been created. This kind of creative interfaces work well together with data visualization tools like the ones above. See also * Comparison of numerical-analysis software * Diagramming software * List of graphical methods This is a list of graphical methods with a mathematical basis. Included are diagram techniques, chart techniques, plot techniques, and other forms of visualization. There is also a list of computer graphics and descriptive geometry topics. Simp ... References {{DEFAULTSO ...
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Origin (data Analysis Software)
Origin is a proprietary computer program for interactive scientific graphing and data analysis. It is produced by OriginLab Corporation, and runs on Microsoft Windows. It has inspired several platform-independent open-source clones and alternatives like LabPlot and SciDAVis. Graphing support in Origin includes various 2D/3D plot types. Data analyses in Origin include statistics, signal processing, curve fitting and peak analysis. Origin's curve fitting is performed by a nonlinear least squares fitter which is based on the Levenberg–Marquardt algorithm. Origin imports data files in various formats such as ASCII text, Excel, NI TDM, DIADem, NetCDF, SPC, etc. It also exports the graph to various image file formats such as JPEG, GIF, EPS, TIFF, etc. There is also a built-in query tool for accessing database data via ADO. Features Origin is primarily a GUI software with a spreadsheet front end. Unlike popular spreadsheets like Excel, Origin's worksheet is column oriented. ...
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Comparison Of Numerical-analysis Software
The following tables provide a comparison of numerical-analysis software. Applications General Operating system support The operating systems the software can run on natively (without emulation). Language features Colors indicate features available as Libraries General Operating-system support The operating systems the software can run on natively (without emulation). See also *Comparison of computer algebra systems *Comparison of deep-learning software *Comparison of statistical packages *List of numerical-analysis software Footnotes References {{Numerical analysis software Numerical analysis software Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics). It is the study of numerical methods th ... ...
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QtiPlot
QtiPlot is a cross-platform computer program for interactive Plot (graphics), scientific graphing and data analysis. It is similar to the proprietary programs Origin (data analysis software), Origin or SigmaPlot. QtiPlot can be used to present 2D and 3D data and has various data analysis functions like curve fitting. Plotting of 3D data can be rendered using OpenGL using the Qwt3D libraries. The program is also extensible to a considerable degree via muParser and Python (programming language), Python scripting language, which allows adding the arbitrary user-defined functions with access to graphs, matrices and data tables. Older QtiPlot versions up to 0.9.8.9 were released under the terms of the GNU General Public License (GPL) and are available also as binaries for Linux distribution repositories as well as for Windows. Starting with version 0.9.9 the source code is not available from the author anymore. Compiled binaries are available for Microsoft Windows, several Linux dis ...
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Rich Text Format
) As an example, the following RTF code would be rendered as follows: This is some bold text. Character encoding A standard RTF file can only consist of 7-bit ASCII characters, but can use escape sequences to encode other characters. The two character escapes are code page escapes and, starting with RTF 1.5, Unicode escapes. In a code page escape, two hexadecimal digits following a backslash and typewriter apostrophe denote a character taken from a Windows code page. For example, if the code page is set to Windows-1256, the sequence \'c8 will encode the Arabic letter ''bāʼ'' ب. It is also possible to specify a "Character Set" in the preamble of the RTF document and associate it to a header. For example, the preamble has the text \f3\fnil\fcharset128, then, in the body of the document, the text \f3\'bd\'f0 will represent the code point 0xbd 0xf0 from the Character Set 128 (which corresponds to the Shift-JIS code page), which encodes "金". For a Unicode escape, t ...
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Histogram
A histogram is an approximate representation of the distribution of numerical data. The term was first introduced by Karl Pearson. To construct a histogram, the first step is to " bin" (or "bucket") the range of values—that is, divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive, non-overlapping intervals of a variable. The bins (intervals) must be adjacent and are often (but not required to be) of equal size. If the bins are of equal size, a bar is drawn over the bin with height proportional to the frequency—the number of cases in each bin. A histogram may also be normalized to display "relative" frequencies showing the proportion of cases that fall into each of several categories, with the sum of the heights equaling 1. However, bins need not be of equal width; in that case, the erected rectangle is defined to have its ''area'' proportional to the frequency ...
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Interpolation
In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points. In engineering and science, one often has a number of data points, obtained by sampling or experimentation, which represent the values of a function for a limited number of values of the independent variable. It is often required to interpolate; that is, estimate the value of that function for an intermediate value of the independent variable. A closely related problem is the approximation of a complicated function by a simple function. Suppose the formula for some given function is known, but too complicated to evaluate efficiently. A few data points from the original function can be interpolated to produce a simpler function which is still fairly close to the original. The resulting gain in simplicity may outweigh the loss from interpolation error and give better performance in ca ...
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Smoothing
In statistics and image processing, to smooth a data set is to create an approximating function (mathematics), function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena. In smoothing, the data points of a signal are modified so individual points higher than the adjacent points (presumably because of noise) are reduced, and points that are lower than the adjacent points are increased leading to a smoother signal. Smoothing may be used in two important ways that can aid in data analysis (1) by being able to extract more information from the data as long as the assumption of smoothing is reasonable and (2) by being able to provide analyses that are both flexible and robust. Many different algorithms are used in smoothing. Smoothing may be distinguished from the related and partially overlapping concept of curve fitting in the following ways: * curve fitting often involves the use of an explicit function for ...
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C (programming Language)
C (''pronounced like the letter c'') is a General-purpose language, general-purpose computer programming language. It was created in the 1970s by Dennis Ritchie, and remains very widely used and influential. By design, C's features cleanly reflect the capabilities of the targeted CPUs. It has found lasting use in operating systems, device drivers, protocol stacks, though decreasingly for application software. C is commonly used on computer architectures that range from the largest supercomputers to the smallest microcontrollers and embedded systems. A successor to the programming language B (programming language), B, C was originally developed at Bell Labs by Ritchie between 1972 and 1973 to construct utilities running on Unix. It was applied to re-implementing the kernel of the Unix operating system. During the 1980s, C gradually gained popularity. It has become one of the measuring programming language popularity, most widely used programming languages, with C compilers avail ...
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Regression Analysis
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features'). The most common form of regression analysis is linear regression, in which one finds the line (or a more complex linear combination) that most closely fits the data according to a specific mathematical criterion. For example, the method of ordinary least squares computes the unique line (or hyperplane) that minimizes the sum of squared differences between the true data and that line (or hyperplane). For specific mathematical reasons (see linear regression), this allows the researcher to estimate the conditional expectation (or population average value) of the dependent variable when the independent variables take on a given ...
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FITS
Flexible Image Transport System (FITS) is an open standard defining a digital file format useful for storage, transmission and processing of data: formatted as multi-dimensional arrays (for example a 2D image), or tables. FITS is the most commonly used digital file format in astronomy. The FITS standard was designed specifically for astronomical data, and includes provisions such as describing photometric and spatial calibration information, together with image origin metadata. The FITS format was first standardized in 1981; it has evolved gradually since then, and the most recent version (4.0) was standardized in 2016. FITS was designed with an eye towards long-term archival storage, and the maxim ''once FITS, always FITS'' represents the requirement that developments to the format must be backward compatible. Image metadata is stored in a human-readable ASCII header. The information in this header is designed to calculate the byte offset of some information in the subse ...
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