Hey guys, welcome back to my R-tips newsletter. In today’s R-tip, I’m sharing the top 9 R packages that I use almost every day… You’re getting the cheat code to learning these R packages. Plus, I’m sharing a 200 lines of R code that shows how you can ...

What if you could 100X your coding productivity? Well you can with ChatGPT. One of the areas I’m most excited about is speeding up the development process of R Shiny web apps. And in this tutorial I’m going to show you how I built an app in 10 minutes...

Hey guys, welcome back to my R-tips newsletter. In today’s R-tip, I’m sharing a super common data science task (one that saved me 20 hours per week)… You’re getting the cheat code to automating Google Sheets. Plus, I’m sharing exactly how I made this a...

Quit “storytelling with data”. There’s a reason your data visualizations aren’t working. Hear me out. If you’re a data scientist or data analyst who wants to get an executive to stop from looking at his phone and to start looking at your slide deck OR ...

Did you know that you can make RIDICULOUS tables in R (from Excel)? You can. And in this free R-tip, I share a real case study where I made the working R code for my financial cash flow statement table. I converted it from Excel Spreadsheet into a form...

Writing R code is a slow process especially when you are first learning Time Series Analysis. What if you could speed it up? You can and this is how. In this free R-tip, I share a real case study where I made the working R code for my time series ...

To be successful as a Data Scientist, you’re often put in positions where you need to find groups within your data. One key business use-case is finding clusters of customers that behave similarly. And that’s a powerful skill that I’m going to help you...

Your success as a Data Scientist isn’t because of your coding skills. Your success is determined by how well you can persuade decision-makers to take action. And that’s a powerful skill that I’m going to help you with today: It’s called Storytelling. ...

Learning python is hard. But it’s important… Even for R users like me that have built successful careers as a Data Scientist, Consultants, and Trainers. Even for future data scientists that are just starting out trying to get a leg-up in the job mark...

Writing code is a slow process especially when you are first learning data science. What if you could speed it up? You can and this is how. In this free R-tip, I share a real case study where I made the working R code for my data analysis in under 30 ...

Part 1: Before I Knew What Data Science Was When I graduated from Penn State in 2007, I spent the first couple of years as a mechanical engineer learning all there was to know about engineering valves. Eventually, I landed at a company called Bonney ...

What if you could 100X your coding productivity? Well you can with ChatGPT. One of the areas I’m most excited about is speeding up the development process of R Shiny web apps. And in this tutorial I’m going to show you how I built an app in 10 minutes...

What’s the one thing that help you add value to your company’s raw geospatial data? GEOCODING. Geocoding is the process of converting raw physical addresses to latitude and longitude geospatial points that can be viewed on a map and used for geospatia...

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...