Tag Archives: data documentation

REDCap Mess: How it Got There, and How to Clean it Up

REDCap mess on your hands? The REDCap designers made the application so loosey goosey, you can really program yourself into a messy corner if you don't plan well.

REDCap mess happens often in research shops, and it’s an analysis showstopper! Read my blog post to learn my secret tricks for breaking through the barriers and getting on with data analytics!

GitHub Beginners in Data Science: Here’s an Easy Way to Start!

If you are an aspiring data scientist, you will need to know how GitHub works. You will probably want to use it for your projects.

GitHub beginners – even in data science – often feel intimidated when starting their GitHub accounts and trying to interact with the web page. Don’t be shy! Catch the highlights from a recent GitHub beginners workshop I held!

Coloring Plots in R using Hexadecimal Codes Makes Them Fabulous!

You do not need to use the default R colors on your plot. You don't even need to limit yourself to named colors on cheat sheets.

Recoloring plots in R? Want to learn how to use an image to inspire R color palettes you can use in ggplot2 plots? Read my blog post to learn how.

Data Curation Solution to Confusing Options in R Package UpSetR

It is possible to use data curation to solve the problem of a confusion vector containing options.

Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.

Querying the GHDx Database: Demonstration and Review of Application

Many data scientists interested in health are looking to query the Global Burden of Disease database, also known as the GHDx

Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!

Interview Preparation for Data Science Positions: Tips and Tricks

You can actually prepare for interviewing for data science positions by doing certain activities, like looking up common questions, and practicing answers.

Interview preparation for data science jobs can involve taking several simple, actionable steps to make yourself feel confident and ready to answer questions with ease. Read my blog post for my tips and tricks!

Paid Mentoring for Data Science: Is it Worth the Cost?

If you are wondering if you should set up a paid mentoring relationship with a data science mentor, you definitely want to read this. You want to make sure you get your money's worth.

Paid mentoring for data science can be worth the cost in certain circumstances – but not others. My blog post provides guidance on hiring a paid mentor.

SAS-R Integration Example: Transform in R, Analyze in SAS!

You can use SAS and R together in one project. I show you how to develop an analytic dataset in R and put it in SAS ODA for analysis.

Looking for a SAS-R integration example that uses the best of both worlds? I show you a use-case where I was in a hurry, and did transformation in R with the analysis in SAS!

Sort Order, Formats, and Operators: A Tour of The SAS Documentation Page

SAS software sorting a to z or using arithmetic operators

Get to know three of my favorite SAS documentation pages: the one with sort order, the one that lists all the SAS formats, and the one that explains all the SAS operators and expressions!

Announcing my New(-ish) Data Curation Course on LinkedIn Learning!

Data curation is an important skill to learn if you want to manage a data science team.

Curation files are especially helpful for communicating about data on teams. Learn more about what you’ll learn when you take my online LinkedIn Learning data curation course!

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