Research Guides (LibGuides): Data Management: Data Analysis & Visualization

Tools

Analysis
Visualization

Mathematica
Mathematica* is the world's most powerful global computing environment. Ideal for use in engineering, mathematics, finance, physics, chemistry, biology, and a wide range of other fields, it makes possible a new level of automation in algorithmic computation, interactive manipulation, and dynamic presentation--as well as a whole new way of interacting with the world of data.

Features include instant dynamic interactivity, high-impact adaptive visualization, symbolic interface construction, load-on-demand curated data, and more.

*If you wish to install Mathematica at your office or lab location please contact the Help Desk in Information Technology at 317-940-4357 (HELP)or by email at helpdesk@butler.edu to obtain a FREE license.
IBM SPSS
IBM SPSS is a suite of powerful software for planning, data analysis, management, organization, reporting, and visualization.

SPSS SmartViewer (Viewing software) is available to all university faculty and staff at no charge.

To purchase SPSS, please send an email to the Help Desk (helpdesk@butler.edu) and include the Butler account number to be charged and the computer ID# that the software should be installed on. A journal voucher will be created for funds transfer and an IT service request will be created for software installation.
The R Project for Statistical Computing
R is a free software environment for statistical computing and graphics. It is free and can run on mac, windows, and linux environments.
QDA MINER LITE
QDA Miner Lite is a FREE and easy-to-use version of our popular computer assisted qualitative analysis software. It can be used for the analysis of textual data such as interview and news transcripts, open-ended responses, etc. as well as for the analysis of still images.
MAXQDA
MAXQDA is a professional software for qualitative and mixed methods data analysis. The software is available as a universal app for Windows and Mac OS X and can help you analyze all kinds of unstructured data like interviews, articles, media, surveys, twitter, and more.

A free 30 day trial is available from the site.

Tableau Public
Tableau Public is the free and open version of Tableau's fleet of data visualization tools. Visualizations are easy to create and can be stored on Tableau's server for easy access without compromising raw data security.
Datawrapper
Easy to use data visualization tool. Upload data, select a visualization, add descriptive information, and save or embed.
Raw
Raw is a basic data visualization tool. It has 16 chart types and limited customization, but the interface is intuitive and it doesn't require registration. Great for quick and dirty data visualization.
Timeline JS
Free and open source tool that lets users pull in data, images, multimedia, and more from multiple sources to create timelines.
Linkurious
Web-based application that allows users to create clean, simple data visualizations.

Resources

Tableau Data Visualization Cookbook by Ashutosh Nandeshwar
This Cookbook contains step-by-step instructions for Tableau users to create effective graphics. The book is designed in such a way that you can refer to it chapter by chapter; you can look at the list of recipes and read them in no particular order.
The Visual Organization by Phil Simon
In The Visual Organization, award-winning author and technology expert Phil Simon looks at how an increasingly number of organizations are embracing new dataviz tools and, more important, a new mind-set based upon data discovery and exploration.
Cool Infographics by Randy Krum
Research shows that visual information is more quickly and easily understood, and much more likely to be remembered. This innovative book presents the design process and the best software tools for creating infographics that communicate.
Hands-On Start to Wolfram Mathematica by Cliff Hastings; Kelvin Mischo; Michael Morrison
ISBN: 9781579550776
Publication Date: 2015-09-01
This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica, with a focus on ease of use.
Introduction to statistical data analysis with R by Matthias Kohl
ISBN: 9788740311235
Publication Date: 2015
The book offers an introduction to statistical data analysis applying the free statistical software R. Book covers basic manipulation of the R language and introduces statistical tests in the R environment. Available for free download.

How Humans Perceive Graphics
Notes from a talk given by researcher Kennedy Elliot at the OpenVis conference in April 2016. A comprehensive look at how humans perceive visual data and how that information can be applied to data visualization.
Changing the Equation on Scientific Data Visualization
An essential facet of the data deluge is the need for different types of users to apply visualizations to understand how data analyses and queries relate to each other. Unfortunately, visualization too often becomes an end product of scientific analysis, rather than an exploration tool that scientists can use throughout the research life cycle. However, new database technologies, coupled with emerging Web-based technologies, may hold the key to lowering the cost of visualization generation and allow it to become a more integral part of the scientific process.
Data Visualization and Evaluation
This chapter elaborates on the definition of data visualization, highlights its historical development, and offers examples of how data visualization has been used in evaluations to help aid understanding, collect data and information, conduct analysis, and communicate to a variety of stakeholders. This chapter also outlines future trends in data visualization and their potential influence on evaluation practice.
What Makes a Visualization Memorable?
We ran the largest scale visualization study to date using 2,070 single-panel visualizations, categorized with visualization type (e.g., bar chart, line graph, etc.), collected from news media sites, government reports, scientific journals, and infographic sources. Each visualization was annotated with additional attributes, including ratings for data-ink ratios and visual densities. Altogether our findings suggest that quantifying memorability is a general metric of the utility of information, an essential step towards determining how to design effective visualizations.

The Mathematica Journal
The Mathematica Journal publishes articles on all aspects of Mathematica. Its goal is to inform and excite the Mathematica community and to enable readers at all levels of proficiency to use Mathematica more effectively.
The R Journal
The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that might be of interest to users or developers of R.
MASSVIS
An MIT project, MASSVIS seeks to aggregate the best of data visualization into one website. One of the largest visualization databases in the world.

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