Joseph Schmuller

Joseph Schmuller, PhD, is a cognitive scientist and statistical analyst. He creates online learning tools and writes books on the technology of data science. His books include R All-in-One For Dummies and R Projects For Dummies.

Articles & Books From Joseph Schmuller

Statistical Analysis with R For Dummies
Simplify stats and learn how to graph, analyze, and interpret data the easy way Statistical Analysis with R For Dummies makes stats approachable by combining clear explanations with practical applications. You'll learn how to download and use R and RStudio—two free, open-source tools—to learn statistics concepts, create graphs, test hypotheses, and draw meaningful conclusions.
Statistical Analysis with R Essentials For Dummies
The easy way to get started coding and analyzing data in the R programming language Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R—the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff.
Cheat Sheet / Updated 04-12-2024
A wide range of tools is available that are designed to help big businesses and small take advantage of the data science revolution. Among the most essential of these tools are Microsoft Power BI, Tableau, SQL, and the R and Python programming languages.Comparing Microsoft Power BI and ExcelMicrosoft markets Power BI as a way to connect and visualize data using a unified, scalable platform that offers self-service and enterprise business intelligence that can help you gain deep insights into data.
Data Analytics & Visualization All-in-One For Dummies
Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.
R All-in-One For Dummies
A deep dive into the programming language of choice for statistics and data With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious.
Cheat Sheet / Updated 01-11-2023
R provides a wide array of functions to help you with your work — from simple statistics to complex analyses.This Cheat Sheet is a handy reference for Base R statistical functions, interactive applications, machine learning, databases, and images.Base R statistical functionsHere’s a selection of statistical functions that come with the standard R installation.
Statistical Analysis with Excel For Dummies
Become a stats superstar by using Excel to reveal the powerful secrets of statistics Microsoft Excel offers numerous possibilities for statistical analysis—and you don’t have to be a math wizard to unlock them. In Statistical Analysis with Excel For Dummies, fully updated for the 2021 version of Excel, you’ll hit the ground running with straightforward techniques and practical guidance to unlock the power of statistics in Excel.
Cheat Sheet / Updated 01-26-2022
R provides a wide array of functions to help you with statistical analysis with R—from simple statistics to complex analyses. Several statistical functions are built into R and R packages. R statistical functions fall into several categories including central tendency and variability, relative standing, t-tests, analysis of variance and regression analysis.
Article / Updated 04-11-2018
Give this project a try to test out your R skills. If you’re the outdoorsy type, you probably encounter mushrooms growing in the wild. As you might know, some mushrooms are edible, and others are most definitely not(!)The UCI ML repository has a dataset of mushrooms with lots and lots of instances (8,124 of them) and 22 attributes.
Article / Updated 04-11-2018
If you’ve been working with images, animated images, and combined stationary images in R, it may be time to take the next step. This project walks you through the next step: Combine an image with an animated image.This image shows the end product — the plot of the iris data set with comedy icons Laurel and Hardy positioned in front of the plot legend.