The Datasets & Statistical Sources LibGuide is a resource for finding and evaluating data sources, including microdata, statistical databases, and tools for analyzing and visualizing data.
r-projectThe Comprehensive R Archive Network (CRAN) is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R. R is a freely available language and environment for statistical computing and graphics. CRAN is a valuable resource for R users. It provides access to a wide variety of R packages, which are collections of code and data that can be used to perform statistical analyses. CRAN also provides documentation for R packages, which can be used to learn how to use the packages.
Open RefineOpenRefine, formerly GoogleRefine, is a free, open-source data cleaning and transformation tool. It can be used to clean up messy data, transform it into different formats, and extend it with web services and external data. OpenRefine is a powerful tool for anyone who works with data, including researchers, journalists, and data analysts.
R BloggersR-bloggers is a website that aggregates blog posts about the R programming language. R-bloggers feature blog posts from a wide range of R users, including data scientists, statisticians, and academics. The posts cover a wide range of topics, from beginner tutorials to advanced statistical analysis.
Flowing DataFlowingData is a website that explores the intersection of data, design, and storytelling. The site was founded by Nathan Yau in 2007, and it has since become a popular destination for anyone interested in learning more about data visualization.
FlowingData features a wide variety of content, including articles, blog posts, infographics, and videos. The site also hosts a number of educational resources, such as courses and tutorials.
Analysis Resources
Getting Started in Data Analysis: Stata, R, SPSS, ExcelThis is a resource provided by Princeton University's Library, specifically focused on Data and Statistical Services (DSS). It offers support and guidance to Princeton University students, faculty, and researchers in accessing and effectively utilizing data and statistical resources for their research projects. The website provides access to various tools, tutorials, and resources related to data management, statistical analysis, visualization, and research methodologies.
