Webinar hosted by Why R? Foundation: Slides, video, and e-learning resources. Why R? Webinar 001 R/exams was presented in the first Why R? webinar by Achim Zeileis. Marcin Kosiński was...continue reading.
For the letter C, we’ll talk about the coalesce function. If you’re familiar with SQL, you may have seen this function before. It combines two or more variables into a...continue reading.
Power BI support certain type of visuals that are by default available in the document. These are absolutely great and work perfectly fine, have a lot of capabilities to set...continue reading.
This post is the latest in a series of post leading up the the dplyr 1.0.0 release. So far, the series has covered: Major lifecycle changes. New summarise() features. select(),...continue reading.
Moving on to the letter B, today we’ll talk about merging datasets that contain the same variables but add new cases. This is easily done with bind_rows. Let’s say I...continue reading.
A big update for our Python community One of the biggest frustrations for a data scientist, whether your primary language is R or Python, is to have your hard work...continue reading.
I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models. Today, I’m using this week’s #TidyTuesday dataset...continue reading.
A big update for our Python community One of the biggest frustrations for a data scientist, whether your primary language is R or Python, is to have your hard work...continue reading.
I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models. Today, I’m using this week’s #TidyTuesday dataset...continue reading.
This tutorial is part of a series of tutorials analyzing covid-19 data. For parts 1, 2, and 3, see the following posts: https://www.sharpsightlabs.com/blog/python-data-analysis-covid19-part1/ https://www.sharpsightlabs.com/blog/python-data-analysis-covid19-part2/ https://www.sharpsightlabs.com/blog/analyzing-covid-19-with-python-part-3-eda/ Covid19 analysis, part 4: visual...continue reading.
Just a quick note that thanks to a gentle nudge an updated version of {uaparser} — a package that processes User Agent strings web clients send to servers — is...continue reading.
The arrange function allows you to sort a dataset by one or more variable, either ascending or descending. This function is especially helpful if you plan on aggregating your data...continue reading.
For all those, who are struggling with the (kind of weird) Johns Hopkins University COVID-19 case data CSV files, we’ve created a free API that makes it easy to integrate...continue reading.
This post is to announce that version 1.5.0 of the foreach package is now on CRAN. Foreach is an idiom that allows for iterating over elements in a collection, without...continue reading.
Announcing my theme for this year’s blogging A to Z!The tidyverse is a set of R packages for data science. The big thing about the tidyverse is making sure your...continue reading.
Graphical User Interfaces (GUIs) for the R language help beginners get started learning R, help non-programmers get their work done, and help teams of programmers and non-programmers work together by...continue reading.
Affiliation Harrison – Center for Strategic and Budgetary Analysis, Washington DC Cara – Department of the Air Force (Studies, Analyses, and Assessments – AF/A9), Washington DC Disclaimer The views expressed...continue reading.
So what does a typical data science consultant look like I hear you say? Well, we have assessed the skills… The post What Do Our Data Science Consultant’s Radars Look...continue reading.
Motivated by a successful turnaround of visits of Why R? 2019 keynote talks that uploaded to Why R? YouTube channel we decided to start Why R? Webinars series! We hope...continue reading.
This blog just got a new title: RStudio AI Blog. We explain why.continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
