Comprehensive set of guides that include installing R, learning R fundamentals including graphics and advanced data analysis examples.
This guide helps users get started with writing a SAS program/code for RTRA purposes.
Comprehensive set of guides that include installing SAS, learning SAS fundamentals and advanced data analysis examples.
This tutorial demonstrates how to scrape tweets for data analysis using Python and the Twitter API.
Link to Scholars Portal guide: http://guides.scholarsportal.info/odesi
Unsure of which projection to use in your GIS work? This tutorial will help you figure out your options.
Comprehensive set of guides that include obtaining SPSS, learning SPSS fundamentals and advanced data analysis examples.
Introductory guide to the Stat/Transfer utility (version 10).
Comprehensive set of guides that include installing Stata, learning Stata fundamentals including graphics and advanced data analysis examples.
Stata is a statistical software for data manipulation, data visualization and data analysis.
Summary statistics are a way to explore your dataset, find patterns, and maybe even refine your question of interest. In this workshop, you will learn to use Stata to create basic summary statistics, cross-tabulations, and increasingly rich tables of summary statistics.
This tutorial will help users learn how to properly use the Map and Data Library's large format scanner.
This tutorial will teach you the basic features in Gephi that will allow you to visualize network data. This tutorial is part of a longer workshop, “An Introduction to Network Visualization and Analysis.” You can download the workshop materials and watch the recording (1:44:18) to learn more about network theory and see video demonstrations of working with Gephi.
UCLA's introductory guide to various statistical analyses in SAS:
Digital elevation models (DEMs) are geospatial datasets that contain elevation values sampled according to a regularly spaced rectangular grid. They can be used in terrain analysis, 3D visualizations, and hydrological modelling, among other applications. DEMs can be stored in several different formats, however conversion into a raster dataset is often required for many processes. This tutorial explains how to derive DEM rasters in ArcGIS from several different sources.