Tidygeocoder v1.0.0 is now live on CRAN. There are numerous new features and improvements such as batch geocoding (submitting multiple addresses per query), returning full results from geocoder services (not just latitude and longitude), address component arguments (city, country, etc.), query customization, and reduced package dependencies.

Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to evaluate complex models. Today’s screencast focuses on bagging using this week’s #TidyTuesday dataset on astronaut missions. ????‍???? Here is the code I used in the video, for those ...

In this article I will highlight the features of VS Code that match RStudio exactly, such as the “interactive notebook window” (called the Console in R) or the “variable explorer” (like running View() on a data frame in RStudio). At the bottom of this post I will provide two JSON ...

This document describes an expansion of the R graphics engine to support a number of new graphical features: gradients, patterns, masks, and clipping paths. Paul ...

A place for Python applications For data science teams looking to promote data-driven decision making within an organization, interactive applications built in R and Python are often the gold standard. These interactive tools, built by data science tea...

TL:DR : We will be using the pivot longer and pivot wider functions to change the shape of our dataframe. It is currently in a wide format, where there are multiple observations for each data point. For each individiual plant observed, sepal lengt...

The purpose of this tutorial is to share some “hidden” tricks in RStudio that can improve coding efficiency and overall user experience. Customizing your Console You can customize your RStudio setup and layout in the Global Options. You can...

(Tidy Tuesday is a project to supply weekly data sets for R users to practice their coding skills on. You can find full details here.) This week’s Tidy Tuesday dataset “contains publicly available information about all astronauts who parti...

Time Series Analysis I would suggest you read chapters 1 through 3 of Time Series Analysis and Its Applications 4th ed to get a introductory treatment of this topic. I also strongly urge you to check out Rob Hyndman’s book on forecasting, which is free. In time series analysis, we are ...

Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. His appointment followed over 25 years of experience in private sector quantitative development in finance and data science. In the first post in this series, we looked ...

I’m pleased to announce that we have achieved a new record: We’ll be paying out over \$1,000,000 to our instructor community in ongoing royalties for their learning content in a single quarter. DataCamp’s top five instructors will each receive a...

As the post on “hello world” functions has been quite appreciated by the R community, here follows the second round of functions for wannabe R programmer. # If else statement: # See the code syntax below for if else statement x=10 if(x__1){ print(“x is greater than 1”) }else{ print(“x is ...

It is like a party all the time; nobody has to worry about giving one or being invited; it is going on every day in the street and you can go down or be part of it from your window. - Eleanor Clark Without the R community, Data Science in ...

In September, we are usually happy to see our favorite TV series back on air… Or not? Because admit it, if we are happy to see those characters back, most of the time, we are disappointed. So why not look at the data, to confirm this feeling? Nazareno Andrade shared ...

At rstudio::conf(2020) we announced the Shiny Contest 2020. Since then, lots changed in the world, and we decided to hold off on announcing the results of the contest for a bit. Today we would like to take some time to acknowledge the winners, honou...