Data science best practices with pandas (video tutorial)
Learn how to use Python’s pandas library to effectively explore, clean, and visualize your data. Become more fluent at using pandas to answer data science questions.continue reading.
Learn how to use Python’s pandas library to effectively explore, clean, and visualize your data. Become more fluent at using pandas to answer data science questions.continue reading.
Julia Silge is joining us as one of our keynote speakers at EARL London 2019. We can’t wait to hear Julia’s full keynote, but until then she kindly answered a...continue reading.
This post builds on our recent introduction to multi-level modeling with tfprobability, the R wrapper to TensorFlow Probability. We show how to pool not just mean values (“intercepts”), but also...continue reading.
Andrie de Vries is the author of “R for Dummies” and a Solutions Engineer at RStudio Phillip (Armand) Bester is a medical scientist, researcher, and lecturer at the Division of...continue reading.
For almost five years, the entire CRAN repository of R packages has been archived on a daily basis at MRAN. If you use CRAN snapshots from MRAN, we’d love to...continue reading.
For almost five years, the entire CRAN repository of R packages has been archived on a daily basis at MRAN. If you use CRAN snapshots from MRAN, we’d love to...continue reading.
As I was preparing some graphics for a presentation recently, I started digging into some of the different color palette options. My motivation was entirely about creating graphics that weren’t...continue reading.
Principal component analysis (PCA) is very useful for doing some basic quality control (e.g. looking for batch effects) and assessment of how the data is distributed (e.g. finding outliers). A...continue reading.
We have juse released the cleancall package to CRAN. cleancall is a new package that helps avoiding resource leaks in the C code of your R package. In this blog...continue reading.
This blog post has two goals Investigate the bench package for timing R functions Consequently explore the different algorithms in the digest package using bench What is digest? The digest...continue reading.
On 25 November 2019, BayesCamp will be hosting a one-day course called Get up and running with Bayesian data analysis, … Morecontinue reading.
I’ve talked about the retailpocalypse before and this morning I was greeted with the news about Dressbarn closing all 650 stores as I fired up a browser. I tweeted some...continue reading.
Some say data is the new oil. Others equate its worth to water. And then there are those who believe that data scientists will be (in fact, they already are)...continue reading.
There has been a lot of interest in RStudio’s instructor training and certification program since it was announced in February. People are now going through the training course and the...continue reading.
There has been a lot of interest in RStudio’s instructor training and certification program since it was announced in February. People are now going through the training course and the...continue reading.
A chance occurrence led me to this thread on R-devel about R sample function generating a bias by taking the integer part of the continuous uniform generator… And then to...continue reading.
This tutorial will show you how to use the NumPy sort method, which is sometimes called np.sort or numpy.sort. As the name implies, the NumPy sort technique enables you to...continue reading.
Dave’s Donuts offers 14 flavors of donuts (consider the supply of each flavor as being unlimited). The “grab bag” box consists of flavors randomly selected to be in the box,...continue reading.
Welcome to the second part of R Studio shortcuts and tips! If you have not yet read r studio shortcuts and tips – part one, I strongly recommend to do...continue reading.
Quickly and easily explore your individual data set or compare datasets in R with the Inspectdf function!continue reading.