The Top-20 Programming Languages

Here's the latest TIOBE index: https://www.tiobe.com/tiobe-index/

• Learn Python, it's that simple!
• Or, one of the many versions of C!
• Don't bother with any of the other!

Five ways to improve your chart axes

Five ways to improve your chart axes is not particularly new or original, but the R crowd will appreciate the code examples provided.

College Admission Rates

Nice data viz from Flowing Data: College Admission Rates for Where You Went to School. Here's the data in-case you want to try your own data viz: https://collegescorecard.ed.gov/data/.

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics (2nd Edition)

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics 2nd Edition is out! The 1st Edition was great so go get the 2nd one.

Probability of Success

Probability of Success is a nicely-done interactive animation/explanation of an important statistical concept: If there’s a chance, with enough tries, you approach near certainty. Or: the house always wins!

easystats: An R Framework for Easy Statistical Modeling, Visualization, and Reporting

easystats: An R Framework for Easy Statistical Modeling, Visualization, and Reporting. Looks great, worth a try!

Marine Geospatial Ecology Tools (MGET)

The Marine Geospatial Ecology Tools (MGET) (by Duke University) is a free, open-source geoprocessing toolbox that can help you solve a wide variety of marine research, conservation, and spatial planning problems.

There you have it - somehow it connects ArcGIS & R via Python.

Stats with R or Python!

Nerd alert: An Introduction to Statistical Learning is now available in two versions - one with applications in R and one with applications in Python. That's already pretty awesome & now add that both versions are free to download as a PDF!

From Python to R

The Starter Guide For Transitioning Your Python Projects To R walks you through the differences between Python and R and includes a nice tutorial.

Data Science Illustrations by Allison Horst

These are super-cute and very useful for teaching: https://allisonhorst.com/data-science-art

Linear Regression

Linear Regression: A Visual Introduction To (Almost) Everything You Should Know is a great and interactive way to learn, well, about linear regression. It's a little on the stats-nerdy side, but well-done, especially the interactive charts.

Open-Source Book: Introduction to Data Science

It does not get better than this: Introduction to Data Science - Data Analysis and Prediction Algorithms with R.

Learning R

Here are a few good resources:

• Introducing R to a non-programmer in one hour
• A Succinct Intro to R
• R for Data Science

Make a Postcard from R

Total nerd-alert here, but fun: use the ggirl R package to turn your chart into a physical postcard that will be mailed to a fellow nerd. Awesome!

R, RStudio, RStudio Cloud

R is a programming language or a software environment for statistical analysis, scientific computing, and graphics. RStudio is an IDE for using R. In other words: You can use R without using RStudio, but you can't use RStudio without using R. Finally, there is RStudio Cloud.

Now, just be aware: R is open-source, but RStudio is not.

Using R with 7th-grade science students

Using R with 7th-grade science students does not seem like a good idea to me (based on my experience teaching undergraduates at a public 4-year college in Massachusetts), but take a look yourself.

Excel vs. Tableau vs. R

https://stephanieevergreen.com/excel-vs-tableau-vs-r/

Julia

Julia = the speed of C with the convenience of Python. If you don't know what any of this means...have a look at Julia: come for the syntax, stay for the speed, download Julia, and start your coding with Juno.

What's R?

Here's what Roger Peng had to say in a keynote address (text version):

GIS in R

There's a (new) MOOC for that: Introduction to GIS in R