Free Data Analysis Software For Mac

This program converts numeric data in an ASCII file to an FCS file which can be read by flow analysis software. The ASCII file can be created by a spreadsheet or any other means. Since MFI, WinMDI, and other software can convert FCS files to ASCII files, one could edit the data. 12 Best Data Analysis Software for Mac. Zoho Analytics is an all-in-one data analysis system designed to help you monitor KPIs, identify business trends, and determine outliers. Formerly known as Zoho Reports, it was expanded from a simple reporting tool to a self-service data analytics and BI platform.

Data analysis software for Mac and Windows. JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. Users leverage powerful statistical and analytic capabilities in JMP to discover the unexpected. Try JMP free for 30 days. Firebird is a completely free and open source software for commercial purposes as well. PostgreSQL is a database which will allow you to create custom data types and query methods. MongoDB is a document database. Cubrid is a relational database management system and provides enterprise-grade features.

But what if you work for a math-heavy industry, pharmacology, medicine or sociology, and complex statistical analysis is part of your daily routine? Did you find a user-friendly data analysis tool that works on your Mac?

Best Free Data Analysis Software

StatPlus:mac turns your copy of Microsoft Excel for Mac (2004 - 2019) or Apple Numbers into a powerful statistical tool without making you learn another software or part with extraordinary amounts of money. You'll use the familiar interface to perform complex analysis and calculations, enabling you to concentrate on analyzing the results rather than figuring out how to achieve them.

Upgrade Your Spreadsheet

Turn Microsoft Excel or Apple Numbers into a powerful statistical package with StatPlus:mac and perform data analysis on a Mac in the familiar environment. Stop wasting your time learning new tools and try StatPlus:mac right away.

70+ Features

StatPlus:mac allows Mac users to perform all forms of data analysis from the very basics to complex analysis, including non-parametric and regression analysis, survival and time series analysis, and a wide variety of other methods. Version 7 includes standalone spreadsheet and can be used without Microsoft Excel or Apple Numbers installed.

Multi-platform

StatPlus:mac is available for both Mac and PC platforms (PC version includes standalone and Excel add-in versions) at no extra charge. Save learning time and costs for your mixed PC and Mac environment.

Free Trial

We have free trial that gives you an opportunity to evaluate the software before you purchase it. Should you have any questions during the trial period, please feel free to contact our Support Team.

Affordable

StatPlus:mac is most affordable solution for data analysis on Mac (with Excel and Numbers support). You will benefit from the reduced learning curve and attractive pricing while enjoying the benefits of precise routines and calculations. Mac/PC license is permanent, there is no renewal charges.

Requirements

StatPlus:mac requires macOS 10.9 or newer (macOS 11 Big Sur is supported; v5 requires 10.5+). StatPlus:mac supports Microsoft Excel for Mac (supported versions: 2004, 2008, 2011, 2016, 2019) and Apple Numbers v3/v4/v5 as a data source. StatPlus:mac does not require Internet connection (except for optional auto-update feature).

Statistical features list

Pro Features
- Standalone spreadsheet with Excel (XLS and XLSX), OpenOffice/LibreOffce Calc (ODS) and text documents support.
- 'Add-in' mode for Excel 2004, 2008, 2011, 2016 and 2019.
- 'Add-in' mode for Apple Numbers.
- Priority support.
- Permanent license and free major upgrades during the maintenance period.
- Access to Windows version.
- Options to emulate Excel Analysis ToolPak results and migration guide for users switching from Analysis ToolPak.
Basic Statistics
- Detailed descriptive statistics.
- One-sample t-test.
- Two-sample t-test.
- Two-sample t-test for summarized data.
- Fisher F-test.
- One-sample and two-sample z-tests.
- Correlation analysis and covariance.
- Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).
- Cross-tabulation and Chi-square.
- Frequency tables analysis (for discrete and continuous variables).
- Multiple definitions for computing quantile statistics.
Analysis of Variance (ANOVA)
- One-way and two-way ANOVA (with and without replications).
- Three-way analysis of variance.
- Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett.
- General Linear Models (GLM) ANOVA.
- Within subjects ANOVA and mixed models.
Multivariate Analysis
- Principal component analysis (PCA).
- Factor analysis (FA).
- Discriminant function analysis.
- Hierarchical Clustering and K-Means.
Nonparametric Statistics
- 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).
- Rank and percentile.
- Chi-square test.
- Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).
- Comparing independent samples
  Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Kruskal-Wallis ANOVA and Median test.
- Comparing dependent samples
  Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance).
- Cochran's Q Test.

Regression Analysis
- Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).
- Weighted least squares (WLS) regression.
- Logistic regression.
- Stepwise (forward and backward) regression.
- Polynomial regression.
- Curve fitting.
- Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.
Time Series Analysis
- Data processing.
- Fourier analysis.
- Smoothing.
- Moving average.
- Analysis.
- Autocorrelation (ACF and PACF).
- Interrupted time series analysis.
- Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).
Survival Analysis
- Life tables.
- Kaplan-Meier (log rank test, hazard ratios).
- Cox proportional-hazards regression.
- Probit-analysis (Finney and LPM).
  LD values (LD50/ED50 and others), cumulative coefficient calculation.
- Receiver operating characteristic curves analysis (ROC analysis).
  AUC methods - DeLong's, Hanley and McNeil's. Report includes: AUC (with confidence intervals), curve coordinates, performance indicators - sensitivity and specificity (with confidence intervals), accuracy, positive and negative predictive values, Youden's J (Youden's index), Precision-Recall plot.
- Comparing ROC curves.
Data Processing
- Sampling (random, periodic, conditional).
- Random numbers generation.
- Standardization.
- Stack/unstack operations.
- Matrix operations.
Statistical Charts
- Histogram
- Scatterplot.
- Box plot.
- Stem-and-leaf plot.
- Bland-Altman plot.
- Bland-Altman plot with multiple measurements per subject.
- Quantile-quantile Q-Q plots for different distributions.
- Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.

JMP^Â® software from SAS is a powerful data analysis tool for Mac and Windows that links robust statistics with graphics, in memory and on the desktop. It allows you to reveal context and discover insight not seen in a table of numbers.

JMP^Â® enables data analysis and statistical discovery through:

In-memory analytics that allow for rapid what-if scenario analysis.
Dynamic linking of interactive graphics with robust statistics.
Sharing and communication of findings in order to empower decision makers.

JMP data analysis software links data with interactive graphics to promote statistical discovery.

Free Survey Data Analysis Software

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