DaSL Data Snacks

This is a collection of cool data tricks with R and Python from the Fred Hutch Data Science Lab. We leverage a technology called quarto-live to give you runnable R and Python examples in your browser, no installation needed. So you can immediately start experimenting with the new tips and tricks.

Think of these snacks like experiments - they may grow into something bigger, or they may just stay as little nuggets of data science.

Learning R as a SAS user

R

SAS

There are a number of learners in the Intro to R course I’m teaching at Fred Hutch that are coming to R from SAS. I want to make them more comfortable in their learning…

`{janitor}`: The Power of Crosstables

R

tables

EDA

One of my most used tools in Exploratory Data Analysis is the humble crosstable. Crosstables can tell us many things, including whether variables are evenly distributed…

Large Data Work: Intro to parquet files in R

R

Tables

databases

bigdata

As you continue on with your work as a Data Scientist, you will start encountering parquet files as a way of storing large data. Let’s add to our toolkit.

What’s Missing with `{naniar}`

R

graphics

Learn about patterns of missing values in your data with the {naniar} package.

Visualize text frequency with {wordcloud}

Python

Visualization

A wordcloud is a simple data visualization tool for looking at frequency of text data, and quickly answers what are some of the most common words that show up in a body of…

Compose Plots with {patchwork}

R

graphics

Learn more about composing plots together with a package with straightforward syntax.

Make your Table 1 with {gtsummary}

R

Tables

When making tables for publication, one of the most common ones we need are Table 1’s: the summarization of our study populations in terms of demographics.