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NCSS软件提供了370多种全面的统计和图形工具,用以对数据进行分析和实现可视化。如果你正在寻找一个精确、全面、直观的统计软件包,实现快速、有效地分析数据,NCSS就可以达到你的目的。30多年来,NCSS一直在改进统计分析和图像,以满足世界各地研究者的需求。
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NCSS是一个强大的统计和图形程序,可用于从医学调查和业务分析到工程,质量控制和学术研究的各种行业。您可以点击下方按钮免费试用,或者观看下方观看视频,了解有关NCSS功能的更多信息。
通过下载免费试用版,查看下方的视频来了解NCSS
通过一些简单的步骤,您可以获得有意义的数值结果和干净清晰的图形。使用“数据”窗口导入或输入数据。打开NCSS程序进行所需的分析,选择列并运行分析以获得准确且易于阅读的数字输出和图形。
NCSS可以轻松导入所有主要类型的数据文件,或者您可以复制和粘贴数据,也可以直接输入数据。NCSS具有出色的过滤和转换功能,可用于管理数据。
使用下拉菜单,过程搜索或类别树,可以轻松找到正确的分析或图形过程。 可以点击资源查看视频,以了解如何在NCSS中选择所需的过程。
分析和图形工具易于使用,并且每个选项都有内置的帮助消息。选择要分析的列,选择所需的报告和图,然后单击“运行”获取结果。如果您需要其他帮助,则只需单击一下即可获得每个过程的完整文档。
NCSS提供了80多个地块。一些图是常规分析过程(例如方差分析或回归分析)的一部分,而其他图则是独立工具。所有NCSS地块都是高度可定制的。用户可以控制布局,符号,标题,图例,轴,网格线等。绘图设置易于保存,以备将来使用或共享。
运行NCSS程序时,分析结果和所需的图将显示在输出窗口中。可以单击所有图形以在单独的窗口中显示以进行查看或保存。使用输出导航树可以轻松导航输出。 输出和图形已准备就绪,可以查看,复制和粘贴或保存。可以将多个运行结果发送到输出库,以进行保存或比较分析。
NCSS提供一系列用于比重对比和列联表分析的工具,每一个程序的使用都很简单,并且都通过了准确性验证。
NCSS软件提供一系列用于回归分析的强大工具,Below就是NCSS众多的回归分析程序中的一个。
均值对比工具组在一般统计研究任务中占据了较大的比重,NCSS提供了解决这样任务的工具,它们使用简单,并且都通过了准确性验证。点击下面的链接可以跳转到有关均值对比的内容。
NCSS提供了多个聚类分析工具,包括K-Means 聚类、粗糙集聚类和中心划分。每一个程序的使用都很简单,并且都通过了准确性验证。
NCSS有提供了一系列用于时序和预测的工具,包括 ARIMA、光谱分析、双重预测和指数平滑分析。每一个程序的使用都很简单,并且都通过了准确性验证。
NCSS提供了几种用于质量控制的工具,包括XBar、属性、Pareto、和Levey-Jennings图,每一个程序的使用都很简单,并且都通过了准确性验证。
NCSS提供了一系列为一个或多个独立自变量(X)发现和创建最佳适应度应变量(Y)模型的工具。每一个程序的使用都很简单,并且都通过了准确性验证。
NCSS提供一系列的批量评估工具,包括评估比率、销售价格和用于回归和描述性总结的工具等。每一个程序的使用都很简单,并且都通过了准确性验证。
总结: Tableau比较适合个人用户以及没有经过可视化分析培训的企业人员使用,使用者能够以最快的时间将自己所掌握的数据以可视化图表的形式展现出来,并通过 Tableau Server 共享给其他用户 ;而Qlik Sense以其丰富的二次开发接口和可扩展性,提供给用户充分的定制能力,使用户可以通过数据加载脚本和 Qlik API 来定制数据连接和可视化报表的展现方式,比较适合较大规模的企业级应用。
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NCSS contains a comprehensive collection of statistical procedures for analyzing your data. These procedures cover a wide range of topics, including analysis of variance, clustering, correlation, curve fitting, cross tabulation, descriptive statistics, design of experiments, forecasting, time series, mass appraisal, meta-analysis, mixed models, multivariate analysis, nonparametric tests, operations research (linear programming), proportions, quality control, regression, survival, reliability, comparisons of means, and much more.
NCSS has a large collection of tools for plots, charts, and graphs. These graphics procedures offer extensive flexibility to get your graph to look just as you want it, while still maintaining ease-of-use and intuitiveness.
Kaplan-Meier Curves
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Scatter Plots
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Error Bar Charts
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Circular Histogram and Rose Plots
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3D Surface Plots
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Histograms and Comparative Histograms
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Pie Charts
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Forest Plots
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ROC Curves
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Forecasting and Time Series
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3D Scatter Plots
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Contour Plots
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Bar Charts
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Box Plots
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Quality Control Charts
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Dendrograms from Hierarchical Clustering
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Density Plots, Dot Plots, and Combo Plots
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Mosaic Plots
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Probability Plots
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Percentile Plots
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Function Plots
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Scatter Plot Matrix
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The home window of NCSS is a column-based spreadsheet where your data can be easily entered or imported from all major statistical or data file types. Straightforward filters, transformations, labels, and formats can be used to get your data exactly as you want it to be.
Then you can choose from over 190 analysis and graphics procedures to analyze and visualize your data.
From a procedure window, you can select the columns you wish to analyze, adjust any other parameters to your liking, and press Run.
Your results will appear in an Output window that is prepared for viewing, printing, copying-and-pasting, or saving. A navigation pane allows you to quickly jump to any part of the output. You can double-click on a graph to save it in any of several file formats.
If you like a particular setup on a procedure window, and would like to perform the same or a similar analysis later, you can save the procedure template to be opened or shared at any time.
NCSS software has a full array of powerful tools for regression analysis. Below is a sample of some of the regression procedures available in NCSS.You can jump to a description of a particular type of regression analysis in NCSS by clicking on one of the links below.
The group of tools for comparison of means constitute a very large portion of the common statistical tasks required in research. NCSS contains a variety of tools for tackling these tasks that are easy-to-use and carefully validated for accuracy. Use the links below to jump to the comparison of means topic you would like to examine.
NCSS contains a variety of tools for analyzing survival data that are easy-to-use and carefully validated for accuracy. Use the links below to jump to the survival analysis topic you would like to examine.
NCSS contains many tools for analyzing and comparing proportions and analysis of contingency tables. Each procedure is easy-to-use and carefully validated for accuracy. Use the links below to jump to the proportions topic you would like to examine.
NCSS contains an array of tools for mass appraisal analysis, including Appraisal Ratios, Comparables - Sales Price, and Hybrid Appraisal Models, as well as tools for regression and descriptive summaries. Each procedure is easy-to-use and validated for accuracy. Use the links below to jump to a specific mass appraisal topic.
NCSS contains several tools for finding and modeling the best (often nonlinear) fit of a response (Y) to one or more independent variables (X’s). Each procedure is easy-to-use and validated for accuracy. Use the links below to jump to a specific curve fitting topic.
NCSS contains an array of tools for time series and forecasting, including ARIMA, spectral analysis, decomposition forecasting, and exponential smoothing. Each procedure is straightforward to use and validated for accuracy. Use the links below to jump to a specific time series / forecasting topic.
NCSS contains several tools for clustering, including K-Means clustering, fuzzy clustering, and medoid partitioning. Each procedure is easy to use and is validated for accuracy. Use the links below to jump to a clustering topic.
NCSS contains several tools and charts for analyzing quality control, including XBar, Attribute, Pareto, and Levey-Jennings charts. Each procedure is easy to use and is validated for accuracy. Use the links below to jump to a quality control topic.
更新时间:2022-07-19 15:36:11.000 | 录入时间:2013-10-28 14:11:21.000 | 责任编辑:何家巧
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