Data Analysis


Python for Data Analysis
Storytelling with Data: A Data Visualization Guide for Business Professionals
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
The Art of Statistics: How to Learn from Data
Naked Statistics: Stripping the Dread from the Data
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Data Smart: Using Data Science to Transform Information into Insight
Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions
Information Dashboard Design: The Effective Visual Commmunication of Data
Lean Analytics: Use Data to Build a Better Startup Faster
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
Kevin Guyan
Heightened data competence can therefore ensure data is used to improve the lives and experiences of LGBTQ people rather than only serve the interests of, what Catherine D’Ignazio and Lauren F. Klein described as, the three S's: science (universities), surveillance (governments), and selling (corporations). ...more
Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

Kevin Guyan
Do your methods present an authentic account of LGBTQ lives? Rather than adopt methods that promise a tidy dataset, recognize that data about identity characteristics is leaky, pluralistic and can change over time. A queer approach involves the use of innovative collection and analysis methods, such as multiple response options and the provision of open-text boxes, to produce a more authentic reflection of lives and experiences.
Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

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