Langues disponibles :
Daté : octobre 2020
Auteur : Sam Dumble
A series of videos talking through why the ggplot2 library in R is a great choice for producing graphs and data visualisations, and walking through the different key components - data, aesthetics, geometries, facets, scales and themes.In this video we'll talk about data visualisation in general, and why the ggplot2 package in R is the perfect choice. We'll go over the general principles underling ggplot2 and talk about the three key elements - data, aesthetics and geometry. Useful links referenced in this video: ggplot2 cheat sheet: https://github.com/rstudio/cheatsheets/raw/master/data-visualization-2.1.pdf R Graphics Cookbook: https://r-graphics.org/ R Colour Chart: http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf Colour Brewer: https://colorbrewer2.org/
Cette ressource comprend une vidéo sur notre chaîne YouTube, intégrée ici.
Vidéo
ggplot Introduction - Colours and Scales (Video 2)
A series of videos talking through why the ggplot2 library in R is a great choice for producing graphs and dat...
Vidéo
ggplot2 Introduction - Facets, themes and taking things further (Video 3)
In this video we'll take things a bit further, using facets, themes and labels, and go about trying to solve a...
Vidéo
dplyr Quick Overview - Core Functions (Video 1)
In this video, we give you an overview of data manipulation and the core functions of the package dplyr.filter...
Vidéo
Effective Use of Rstudio - Importing Data
In this video, we explain the steps that one needs to take in order to safely import data into R from RStudio....
Vidéo
Data Analysis Workflow in R - Video 1 - Numeric Variables (t-tests and non-parametric tests)
A demonstration video showing the steps for a simple data analysis problem using RStudio to import, explore an...
Vidéo
Data Analysis Workflow in R - Video 2 - Categorical Variables (chi-square and Fisher test)
Continuing the previous video - now looking at refining hypothesis, modifying data to meet objectives, using t...