Hadley Wickham is a statistician and computer scientist who is best known for his work in data science, specifically for his contributions to the open-source programming language R. He is the author of several popular R packages, including the tidyverse, which is a collection of tools for data manipulation and visualization.
Hadley Wickham was born in New Zealand in 1979.
He received his PhD in statistics from Iowa State University in 2006.
He has held positions at several universities and tech companies, including Rice University, Google, and RStudio.
He has received numerous honors and awards for his work, including the John Chambers Award for Statistical Computing in 2019.
He is currently a professor of statistics at the University of Auckland in New Zealand.
Python is a popular open-source programming language used for a variety of purposes, including data science.
Julia is a relatively new programming language that was designed specifically for numerical and scientific computing.
Matlab is a proprietary programming language and development environment that is often used in scientific computing and engineering.
ggplot2 is a popular data visualization package for R that allows users to create custom graphs and charts.
dplyr is a package for R that provides tools for data manipulation and filtering.
tidyr is a package for R that provides tools for reshaping and cleaning data sets.
The tidyverse is a collection of R packages created by Hadley Wickham and others that provides tools for data manipulation and visualization.
ggplot2 is a popular R package for creating custom data visualizations.
dplyr is an R package for data manipulation and filtering that is designed to work well with other popular packages like ggplot2.
It depends on the task at hand. R is often preferred for data visualization and statistical analysis, while Python is better for tasks that involve machine learning or working with large data sets.
There are many resources available for learning R, including online courses, tutorials, and textbooks. Some popular options include DataCamp, RStudio's free online learning resources, and the book 'R for Data Science' by Hadley Wickham and Garrett Grolemund.