Tag Archives: academia

Classification Crosswalks: Strategies in Data Transformation

What if you have too many categories in a categorical variable? Your cardinality is too high for a chi-square analysis.

Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!

NHANES Data: Pitfalls, Pranks, Possibilities, and Practical Advice

If you are interested in population-level surveillance data, you might have thought about using NHANES data in portfolio projects.

NHANES data piqued your interest? It’s not all sunshine and roses. Read my blog post to see the pitfalls of NHANES data, and get practical advice about using them in a project.

Shapes and Images in Dataviz: Making Choices for Optimal Communication

If you use good judgment in choosing chapes and images to add to your data visualizations, your audience will be enlightened.

Shapes and images in dataviz, if chosen wisely, can greatly enhance the communicative value of the visualization. Read my blog post for tips in selecting shapes for data visualizations!

Connecting SAS to Other Applications: Different Strategies

Did you know it is possible to integrate SAS with other data environments, like Microsoft SQL or Excel?

Connecting SAS to other applications is often necessary, and there are many ways to do it. Read this blog post for a couple of use-cases of SAS data integration using various SAS components.

Portfolio Project Examples for Independent Data Science Projects

Are you a data scientist who is interested in doing independent portfolio projects to sharpen your skills? Then I strongly suggest you get a coach or a mentor.

Portfolio project examples are sometimes needed for newbies in data science who are looking to complete independent projects. This blog post provides some great examples of independent projects you can do with datasets available online!

Understanding Legacy Data in a Relational World

Data systems started being in use in the 1960s and 1970s, but these were flat systems, usually using IBM mainframes.

Understanding legacy data is necessary if you want to analyze datasets that are extracted from old systems. This knowledge is still relevant, as we still use these old systems today, as I discuss in my blog post.

CitePeeps: Want to Increase Citations to Your Research? Join our Online Community!

CitePeeps is an online community of scientific authors who are interested in increasing the number of citations to their written works.

CitePeeps is a new online community of scientific authors focused on increasing the number of citations to their published works. Join us!

End-to-End AI Pipelines: Can Academics Be Taught How to Do Them?

What is an end-to-end AI pipeline? And why are academics so bad at making one? These are different ideas we will examine in this blog post.

End-to-end AI pipelines are being created routinely in industry, and one complaint is that academics can only contribute to one component of the pipeline. Really? Read my blog post for an alternative viewpoint!

The Paste Command in R is Great for Labels on Plots and Reports

The paste command is used to concatenate strings in R. You can use it different ways, which is what I demonstrate in my blog and videos.

The paste command in R is used to concatenate strings. You can leverage the paste command to make refreshable label objects for reports and plots, as I describe in my blog post.

US Public Health Alphabet Soup Explained: What is the NACCHO?

You may have wondered if public health workers who are employed by local public health departments have a professional society devoted just to them. That's NACCHO.

You may already know that NACCHO is NOT cheese – but what is it? It’s a professional society for local public health officials. Read my blog post to learn what NACCHO does, and who it serves.

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