Equipment, Software, & Tools
| Tool | Description |
|---|---|
| Anaconda and Python (Open Source, Freely Available) | Python is an open-source, object-oriented programming language, particularly well-suited for scientific computing because of its extensive ecosystem of scientific libraries and environments. For more information, see the Python FAQ page and the Python Numeric and Scientific Wiki. |
| GraphPad Prism | GraphPad Prism is an analysis and graphing software for scientific research. To learn more, visit the GraphPad Knowledgebase. |
| JMP (Statistics software) | 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. With JMP you can perform data analysis, data acquisition and cleanup, data visualization, reliability analysis, text exploration, statistical modeling, and it integrates with SAS, MATLAB, and R. |
| R and RStudio (Open Source, Freely Available) | R is a programming language and environment for statistical computing and graphics. The R environment provides an integrated suite of software facilities for data manipulation, calculation and graphical display. R can import and export data in a variety of formats, both open source and proprietary, including plain text and comma-separated values (CSV), Excel spreadsheets (.XLS and .XLSX), files from a variety of statistical packages (including SAS, SPSS, and Stata), and more. |
| SAS (Base) | Base SAS includes a programming language that manages your data, includes procedures for data analysis, reporting, and managing SAS files, and a windowing environment for text editing and file management. |
| SPSS Statistics | IBM SPSS Statistics enables you to quickly dig deeper into your data, making it a much more effective tool than spreadsheets, databases or standard multi-dimensional tools for analysts. SPSS Statistics includes a variety of functionalities such as descriptive statistics, data preparation, graphing, bivariate statistics procedures, factor and cluster analysis and linear and ordinal regression. |
| Stata | Stata is an integrated statistical software package for data management, analysis, and visualization. Stata provides both a command syntax for users who are comfortable with scripting and a simple point-and-click interface for users who do not have experience with writing scripts. With either method, analyses are documented for easy reproducibility. |
| Tableau Desktop | The NIH Library has Tableau Desktop installed on the Data Services workstation. Reservations are required. Tableau is an analytics tool for creating a wide variety of interactive data visualizations. Our license includes the following: |