Showing 8 open source projects for "numerical"

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  • 1
    Sweetviz

    Sweetviz

    Visualize and compare datasets, target values and associations

    ...Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Shows how a target value (e.g. "Survived" in the Titanic dataset) relates to other features. Sweetviz integrates associations for numerical (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to provide maximum information for all data types. Automatically detects numerical, categorical and text features, with optional manual overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness.
    Downloads: 0 This Week
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  • 2
    NumeRe

    NumeRe

    Framework for numerical computations, data analysis and visualisation

    Curve fitting | Data analysis | Plotting | Matrix operations | FFT | Extensible framework | Multiple file formats | Programmable | Open source | Free for everyone NumeRe: Framework for Numerical Computation is a numerical framework written for Microsoft Windows(R) and released under the GNU GPL v3 for solving and visualizing mathematical and physical problems numerically. Keep simple things simple: You want to plot a sine function? Just enter 'plot sin(x)'. You want to load some data? Enter 'load "path/to/your/file"' or drag the file into the terminal. ...
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    Downloads: 149 This Week
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  • 3

    Graph Plotter

    GP is a tool to analyse numerical data

    GP is aimed to be simple and fast tool to analyse numerical data. It does not claim to replace all other plotters.
    Downloads: 2 This Week
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  • 4
    Data Preprocessing Automate

    Data Preprocessing Automate

    Data Preprocessing Automation: A GUI for easy data cleaning & visualiz

    Data Preprocessing Automation is a Python-based GUI application designed to simplify and automate data preprocessing tasks. It allows users to upload Excel files, automatically handle missing values, remove duplicates, and detect and remove outliers using statistical methods. The application provides data visualization tools, including box plots for distribution analysis and scatter plots for exploring relationships between variables. Users can download the processed data for further...
    Downloads: 0 This Week
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    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit for All of Us

    DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify...
    Downloads: 0 This Week
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  • 6
    Python(x, y)

    Python(x, y)

    Scientific-oriented Python Distribution based on Qt and Spyder

    Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder interactive scientific development environment.
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    Downloads: 21 This Week
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  • 7

    PythonStatsLab

    A collection of useful statistical functions written in Python

    ...There are several numerical integration techniques (Riemann sum, Simpson's method, Taylor expansion, etc.) that can be employed in this task, which I hope to add soon. Projected Future Improvements: -Estimation with 2 means -Student's t-distribution -Hart's algorithm for integrating CDF
    Downloads: 0 This Week
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  • 8
    PsiLAB is an environment for scientific research, numerical calculations and generic data analysis. It's written in the functional language O'CaML.
    Downloads: 0 This Week
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