Tag: ggplot2

Fun With Plotly

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From Len Kiefer: “Plotly enables you to make interactive htlm widgets that you can embed in your webpage or view from within R. I’ve been having a lot of fun converting existing visualizations I have made with ggplot2 into plotly visualizations using ggplotly…. I’m going to include the code and discussion for several graphs I’ve been using. I will use updated data that we used in our Cross talk dashboard. … Continue Reading

RStudio Cheat Sheets

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“These cheat sheets below make it easy to learn about and use some of our favorite packages.” Data Import Cheat Sheet: “reminds you how to read in flat files…,work with the results as tibbles, and reshape messy data with tidyr. Use tidyr to reshape your tables into tidy data, the data format that works the most seamlessly with R and the tidyverse.” Data Transformation Cheat Sheet: “dplyr provides a grammar … Continue Reading

DataCamp – Working with Geospatial Data in R

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From DataCamp: “Where should you buy a house to get the most value for your money? Your first step might be to make a map, but spatial analysis in R can be intimidating because of the complicated objects the data often live in. This course will introduce you to spatial data by starting with objects you already know about, data frames, before introducing you to the special objects from the sp … Continue Reading

DataCamp – Exploratory Data Analysis in R: Case Study

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From DataCamp: “Once you’ve started learning tools for data manipulation and visualization like dplyr and ggplot2, this course gives you a chance to use them in action on a real dataset. You’ll explore the historical voting of the United Nations General Assembly, including analyzing differences in voting between countries, across time, and among international issues. In the process you’ll gain more practice with the dplyr and ggplot2 packages, learn about the … Continue Reading

DataCamp – Visualizations with ggplot2 (Part 3)

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Part 1, Part 2 From DataCamp: “In this third ggplot2 course, we’ll dive into some advanced topics including geoms commonly used in maths and sciences, strategies for handling large data sets, a variety of specialty plots, and some useful features of ggplot2 internals.” This course consists of 5 chapters: Statistical plots Plots for specific data types (Part 1) Plots for specific data types (Part 2) ggplot2 Internals Data Munging and Visualization … Continue Reading

DataCamp – Visualizations with ggplot2 (Part 2)

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Part 1 From DataCamp: “This ggplot2 tutorial builds on your knowledge from the first course to produce meaningful explanatory plots. We’ll explore the last four optional layers. Statistics will be calculated on the fly and we’ll see how Coordinates and Facets aid in communication. Publication quality plots will be produced directly in R using the Themes layer. We’ll also discuss details on data visualization best practices with ggplot2 to help make … Continue Reading

DataCamp – Visualizations with ggplot2 (Part 1)

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From DataCamp: “The ability to produce meaningful and beautiful data visualizations is an essential part of your skill set as a data scientist. This course, the first R data visualization tutorial in the series, introduces you to the principles of good visualizations and the grammar of graphics plotting concepts implemented in the ggplot2 package. ggplot2 has become the go-to tool for flexible and professional plots in R. Here, we’ll examine the … Continue Reading

R in Action: Data Analysis and Graphics with R

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This book will introduce you to the most important functions in the base R installation and more than 90 packages. The goal is practical application – how you can make sense of your data and communicate that understanding to others.