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Data Analysis and Visualization

This guide was created to support Tulane faculty, staff, and students as they undergo data analysis and visualization tasks. If you have any questions about this guide or any suggestions for improved content, reach out to

Popular Data Analysis & Visualization Tools

SPSS is a statistical software from IBM that allows users to run simple and advanced statistical processes on data.

Official Website: SPSS Statistics | IBM

Accessing SPSS at Tulane: SPSS | Information Technology (

SAS is a statistical software that performs data analysis and visualization.

Official Website: SAS: Analytics, Artificial Intelligence and Data Management | SAS

Accessing SAS at Tulane: SAS - Statistical Analysis System | Information Technology (

Python is a powerful open-source programming language used for task such as web development, data analysis, and machine learning.

Official Website: Welcome to

R is an open-source programming language used for data analysis and other data-intensive processes. 

Official Website: R: The R Project for Statistical Computing (

Microsoft Power BI offers advanced visualization functions that integrate easily with other Microsoft products like Access and Excel.

Official Website: Data Visualization | Microsoft Power BI

Excel is a spreadsheet tool that offers simple and advanced data analysis and visualization functions.

Official Website: Microsoft Excel Spreadsheet Software | Microsoft 365

Accessing Excel at Tulane: Microsoft Office 365 | Information Technology (

Tableau is a powerful data visualization tool used in the business sector. 

Official Website: Business Intelligence and Analytics Software (

BioRender Scientific illustration app for life science research, publications, posters, and presentations with drag-and-drop icons, intuitive figures, and free design templates.

Official Website: BioRender

Accessing BioRender at Tulane: BioRender

Other Tools for Visualizing Data

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