What’s the one thing that will impress your company (that you can make in under 60 minutes)? A professional business report. And Microsoft Word is the defacto standard (NOT Jupyter Notebooks or HTML web-reports). Even PDFs aren’t ideal, especially if ...

Do you know how long EDA (exploratory data analysis) used to take me? Not hours, not days… A full week! Listen, you don’t know how good you have it. With this new R package I’m about to show you (plus one BONUS hack), you’ll cut your EDA ...

I can’t tell you how painful it is to be better at something in Excel than in R. And one of the gripes I still have (10 years after making the switch from Excel to R) is that it’s still tough to make dual-axis plots in R. Guess what, ...

Businesses have tons of data. But 90% have no clue how to use it. Here’s what they are overlooking… Within-Group Analysis. Groups are important (think customer segments). But group-wise comparisons can be tricky. Thankfully an R package exists to hel...

When I began applying data science to the company I worked for in 2015, exploratory data analysis (the critical process for performing initial investigations to find important relationships in my data, cleaning my data, spotting anomalies, and checking...

As data scientists, it can be downright impossible to drill into messy data. Fortunately, there’s a new R package that helps us focus on a “high-density region”, which is simply an area in a scatter plot defined by a high percentage of the data points....

Machine learning is great… until you have to explain it. Stakeholders are normally non-technical, C-suites that ultimately want to know what the model does for the business. And how it helps increase revenue or decrease costs. A new R package, modelDow...

Making a survival analysis can be a challenge even for experienced R users, but the good news is I’ll help you make beautiful, publication-quality survival plots in under 10-minutes. Here’s what WE are going to do: Make your first survival model an...

If you are looking to learn about the most useful R package that can help you get through a data science job interview AND you probably don’t know it yet, you’ve come to the right place, my friend! Here’s what’s in store for you today: If ...

Visualizing big data is next to impossible. As soon as I have 12 plots, that’s where my ability to use native ggplot suffers. That is until I found trelliscopejs. trelliscopejs is like ggplot2 faceting on steroids. This may seem crazy, but the benefit...

In late September 2021, David was a Research Analyst with Texas A&M University. In March of 2022, less than 6-months later, he has accepted a position with Microsoft as a Machine Learning Support Engineer. In one of my webinars, David explained th...

Machine learning is great, until you have to explain it. Thank god for modelStudio. modelStudio is a new R package that makes it easy to interactively explain machine learning models using state-of-the-art techniques like Shapley Values, Break Down pl...

I’m super impressed by the radiant R package. With no prior experience with radiant, I was able to complete a short business analytics report in under 10-minutes. R-Tips Weekly This article is part of R-Tips Weekly, a weekly video tutorial that shows...

I’m super excited to introduce portfoliodown, a new R package that makes it painless for data scientists to create a polished professional website so they can host their project portfolios, get great job interviews, and launch their data science career...

I’m SUPER EXCITED to show fellow time-series enthusiasts a new way that we can scale time series analysis using an amazing technology called Spark! Without Spark, large-scale forecasting projects of 10,000 time series can take days to run because of long-running for-loops and the need to test many models on ...

The ggplot2 package is an essential tool in every data scientists toolkit. Today we show you how to use ggplot2 to make a professional heatmap that organizes customers by their sales purchasing habits. R-Tips Weekly This article is part of R-Tips Wee...

Parallel processing in the tidyverse couldn’t be easier with the furrr package. If you are familiar with the purrr::map() function, then you’ll love furrr::future_map(), which we’ll use in this FREE R-Tip training to get a 2.6X speed-up in our code. R...

Iteratively forecast with tidyverse nested modeling Why is nested forecasting important? For starters, the ability to iteratively forecast time series with many models that are trained on many individual groups has been a huge request from student...

A Lollipop Plot shows the relationship between categories using a dot and a line that connects to a baseline (similar to a Bar Plot). In this short tutorial, we use ggalt to create a Lollipop Plot with the geom_lollipop() function. R-Tips Weekly This...

ggalt is a ggplot2 extension that adds many new ggplot geometries. In this tutorial, we’ll learn how to make dumbbell plots for visualizing change within our data using geom_dumbbell(). R-Tips Weekly This article is part of R-Tips Weekly, a weekly vi...