A little over a year ago, we decided to propose a data visualization course at the first-year level. We had been thinking about this for awhile, but never had the time to teach it given the scheduling constraints we had. … Continue reading → [Read more...]

Webinar Series: Data Science Undergraduate Education Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting onSeptember 12 and ending on November 14. See below for the … Continue reading → [Read more...]

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In one of our previous posts (Halloween: An Excuse for Plotting with Icons), we gave a quick tutorial on how to plot using icons using ggplot. A reader, Dr. D. K. Samuel asked in a comment how to use multiple … Continue reading → [Read more...]

In my course on the GLM, we are discussing residual plots this week. Given that it is also Halloween this Saturday, it seems like a perfect time to code up a residual plot made of ghosts. The process I used … Continue reading → [Read more...]

Apparently our last blog post was in August. Dang. Where did five months go? Blog guilt would be killing me, but I swear it was just yesterday that Mine posted. I will give a bit of review of some of … Continue reading → [Read more...]

Like Rob, I recently got back from ICOTS. What a great conference. Kudos to everyone who worked hard to organize and pull it off. In one of the sessions I was at, Amelia McNamara (@AmeliaMN) gave a nice presentation about how … Continue reading → [Read more...]

I have gotten several requests for the R syntax I used to analyze the ranked-choice voting data and create the animated GIF. Rather than just posting the syntax, I thought I might write a detailed post describing the process. Reading … Continue reading → [Read more...]

The city of Minneapolis recently elected a new mayor. This is not newsworthy in and of itself, however the method they used was—ranked choice voting. Ranked choice voting is a method of voting allowing voters to rank multiple candidates in order of preference. In … Continue reading → [Read more...]

For some reason I was compelled to update my Mac’s OS and R on the same day. (I know…) It didn’t go well on several accounts and I mostly blame Apple. Here are the details. I updated R to version … Continue reading → [Read more...]

Daniel Kaplan and Libby Shoop have developed a one-credit class called Data Computation Fundamentals, which was offered this semester at Macalester College. This course is part of a larger research and teaching effort funded by Howard Hughes Medical Institute (HHMI) to help students … Continue reading → [Read more...]

It is time for the NCAA Basketball Tournament. Sixty-four teams dream big (er…I mean 68…well actually by now, 64) and schools like Iona and Florida Gulf Coast University (go Eagles!) are hoping that Robert Morris astounding victory in the N.I.T. … Continue reading → [Read more...]

One of my graduate students worked some ggplot magic and created an almost Light Bright-esqe plot of our very own Goldy Gopher. She also, thoughtfully, published a tutorial on her blog. Read and enjoy! [visit Rita's blog here] [Read more...]

As a celebration of Florence Henderson’s 79th birthday (on February 14), I have created this scatterplot to use in my regression course. The plot depicts the relationship between time spent on mathematics homework outside of school (expressed as z-scores) and … Continue reading → [Read more...]

I don’t understand the website Pinterest, but it looks pretty (especially on the iPad), and an undergraduate student said it was the greatest thing since Facebook, so I thought I would give it a shot. The idea is that Pinterest … Continue reading → [Read more...]

I was creating a dataset this last week in which I had to partition the observed responses to show how the ANOVA model partitions the variability. I had the observed Y (in this case prices for 113 bottles of wine), … Continue reading → [Read more...]

Apparently I have issues with my reading comprehension and with Textmate (initially) when it comes to using the sqldf package. G. pointed out in the previous comments, I could have just used options(gsubfn.engine = "R") instead of going through the trouble of installing the tcltk binaries. If you’ve ... [Read more...]

Of course, a few days before I leave for a much needed vacation, USA Today released their updated NCAA coaching salary database. For sports junkies, there’s an unlimited number of analysis and visualizations that can be done on the data. I took a quick break from packing to condense ... [Read more...]

Time Series as calendar heat maps + All of my running data since April 1, 2009 = Generated by the following code: #Sample Code based on example program at: source(file = "calendarHeat.R") run [Read more...]