Today, we'll finally talk about summarise! It's very similar to mutate, but instead of adding or altering a variable in a dataset, it aggregates your data, creating a new tibble with the columns containing your requested summary data. The number of rows will be equal to the number of groups ...

The Root Problem: We Don’t All Speak the Same Language Organizations across the modern business world recognize the critical importance of Data Science for competitive advantage. That recognition has driven Glassdoor to rate Data Scientist as one...

Power Analysis by Data Simulation in R - Part I: Theoretical introduction to simulation Back to Power Finally, an actual power simulation. Summary Footnotes Click HERE to download the .Rmd file This blog is also available on R-Bloggers Power Analysis by Data Simulation in R - Part I: Theoretical introduction ...

This is an exciting week for us on the tidymodels team; we launched tidymodels.org, a new central location with resources and documentation for tidymodels packages. There is a TON to explore and learn there! ???? You can check out the official blog post for more details. Today, I’m publishing ...

If you have ever seen comparisons of investment returns with and without reinvested dividends, you know that the difference gets huge as the investment horizon increases. Wouldn't it be great you could achieve a similar increase in returns by altering your investment style? Small cap value stocks have historically achieved ...

So RStudio Connect has embraced Python and now runs Flask applications! At Jumping Rivers we make a lot of use of R, shiny, and Python for creating visual tools for our clients. Shiny has a lot of nice features, in particular it is very fast for prototyping web applications. Over ...

The tidyverse is full of functions for reading data, beginning with "read_". The read_csv I've used to access my reads2019 data is one example, falling under the read_delim functions. read_tsv allows you to quickly read in tab-delimited files. And you ...

In this post, We’ll learn about {ggeasy} an R package by Jonathan Carroll. The goal of {ggeasy} is to help R programmers make ggplot2 theme customizations with simple-easy English functions. (much easier than playing with theme()) We use dataset generated by {fakir} for this tutorial. Youtube: https://youtu.be/...

Background Anyone who’s bought groceries online recently has seen the huge increase in demand due to the COVID-19 outbreak and quarantines. In this post, you’ll learn how to buy groceries on Amazon using R! To do that, we’ll be using the RSelenium package. In case you’re ...

Behold the glory that is sparklyr 1.2! In this release, the following new hotnesses have emerged into spotlight: A registerDoSpark method to create a foreach parallel backend powered by Spark that enables hundreds of existing R packages to run in Spark. Support for Databricks Connect, allowing sparklyr to connect to remote ...

In the first part of this post I introduced several functions available in the package inSilecoMisc. In this post, I keep on introducing features of the package you might find useful! If you did not read the first part of this post and are interested in reproducing the examples below, ...

Launch of New Course Platform After months of hard work we are really excited to launch our brand-new course platform to learn and apply data science. Together with the new platform we also developed the first new course Introduction to R which is ava...

Launch of New Course Platform After months of hard work we are really excited to launch our brand-new course platform to learn and apply data science. Together with the new platform we also developed the first new course Introduction to R which is ava...

If you are a data scientist with a built-out set of modeling tools that you know well, and which are almost always adequate for getting your work done, it is probably difficult for you to imagine what would induce you to give them up. Changing out what works is a ...