Tag: R

Started studying a book I purchased in February Data Visualization: A Practical Introduction

The book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.

 Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.

Web Excursions for March 2019

R for Blogging

The fastest cyclists of Europe live in …
Analyzing STRAVA data to find out which city has the faster cyclists with R and R-shiny

The Best Free Books for Learning Data Science

Lecturer who uses Academic hugo theme for her website on github

Article written in Blogdown:

Article written in Radix:

Radix is based on the Distill web framework, which was originally created for use in the Distill Machine Learning Journal. Radix combines the technical authoring features of Distill with R Markdown.

DataCamp .. R you learning?

This week I noticed Datacamp had a half price special, only$200 AUD for a years subscription. So I have cut down on playing games (sorry Battlefield V) and used that time to learn the tidyverse on datacamp.

Visualizing median GDP per capita over time

A line plot is useful for visualizing trends over time. In this exercise, you'll examine how the median GDP per capita has changed over time.
The interactive environment where you can write R code and see the results.

According to Datacamp’s website it is “the smartest way to learn Data Science Online. The skills people and businesses need to succeed are changing. No matter where you are in your career or what field you work in, you will need to understand the language of data. With DataCamp, you learn data science today and apply it tomorrow.