What is this book about? Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand ...

The goal of this work is to find interesting data/patterns from a raw dataset (Dataset.csv). The excel file given are the response of 258 persons to 24 questions. Some question have simple answers, ...

This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R’s state-of-the-art graphing capabilities with the ggplot2 package.

This module is an introduction to data analysis using R, tailored for you if you are new to statistical computing, particularly amateur scientists and learners preparing for healthcare or science ...

If you’re interested in R for ‘data science’ and installing/updating/choosing R packages, these additional resources are recommended (these optional resources are all freely available online): ...

James has been using R as the primary tool in his data analysis workflow for a decade and has developed popular modules teaching R to Master’s students in ITS. The course will be held in the Leeds ...

LinkedIn recently reported data analysis is one of the hottest skill categories over the past two years for recruiters, and it was the only category that consistently ranked in the top 4 across ...

Discover how DeepSeek R1 simplifies mapping and data visualization with AI-powered automation, saving time and reducing ...

apply basic R functions for twin-focused data analysis and visualization, and (4) translate the implementation of a basic ACE model between a structural equation model and an OpenMx model ...

Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, ...