JMP by Ernimril is a powerful statistical analysis software that is widely used by researchers, engineers, and data analysts to visualize and explore data in order to make informed decisions. With a user-friendly interface and a wide range of advanced features, JMP is a valuable tool for those working with complex data sets.
One of the key features of JMP is its ability to generate dynamic and interactive visualizations, allowing users to explore their data in a more intuitive way. From histograms and scatter plots to heat maps and contour plots, JMP provides a variety of chart options to help users gain insights from their data.
In addition to its data visualization capabilities, JMP also offers powerful statistical analysis tools. Users can easily perform descriptive statistics, hypothesis tests, regression analysis, and more, all within the same software platform. This integrated approach streamlines the analysis process and helps users uncover meaningful patterns and relationships in their data.
Another standout feature of JMP is its extensibility. Users can easily customize analyses and visualizations using JMP's built-in scripting language, JSL. This allows users to automate repetitive tasks, create custom analyses, and even integrate JMP with other applications for seamless workflows.
Furthermore, JMP offers robust data import and export capabilities, making it easy for users to work with data from a variety of sources. Whether importing data from Excel spreadsheets, text files, or databases, JMP simplifies the process of getting data into the software for analysis.
JMP by Ernimril is a comprehensive statistical analysis software that offers a wide range of features to help users explore and understand their data. From dynamic visualizations to advanced statistical analyses, JMP provides the tools necessary to uncover key insights and drive informed decision-making.
概述
JMP 是在由Ernimril開發類別 Development Open Source 軟體。
最新版本是 JMP 的 0.51 2008/02/18 上釋放。 它最初被添加到我們的資料庫 2007/08/24 上。
JMP 在下列作業系統上運行: Windows。
JMP 已不被評為由我們使用者尚未。
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