Custom Parallel Coordinate

I saw this cool parallel coordinate chart in the Guardian on the heptathlon in the Rio Olympics. Displaying multi-variate data is tricky. A traditional parallel coordinate chart is some times difficult to read with the high number of overlapping lines. This new approach, which I have re--created with 2017 Madden ratings data in Tableau, allows you to see every point on parallel axes and then view the relative position of each point for a selected player. The correlation between variables is not as immediately apparent but it is easier to see a specific data point across variables.

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Dear Data at MICA

I teach a Visual Analytics course at MICA as part of their Information Visualization (MPS) program. It's a great course and this is my second year teaching it. Last year I gave the students an assignment to recreate a Dear Data postcard and it was very successful. So this year I did it again and I thought would share my favorite post cards from two of my students.

The first one was created by Alex Schroeder and replicated the Week One post card from Dear Data. I think it's a very creative approach where the number of concentric circles represent the number of time's he checked a clock. The layout by hour of the day and day of the week makes it easy to see patterns. He even adds a reference line to indicate when he woke up each day (6:00 am). See Alex's post card below.

The second one is by Jennifer Roscoe and it's beautiful. She counted the number of times she observed moments of benevolence between strangers. The number of rings in the flowers is the count of acts of kindness. The ring pattern indicates the nature of the kindness. The color of the small petals is where the kindness was observed. Even the leaves indicate whether most of the acts were observed: indoors (green) or outdoors (yellow). See Jennifer's post card below.

Great work Alex and Jennifer. Thank you for allowing me to share.

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Starry Night Color Composition

This visualization looks at the color choices by Van Gogh in his famous paintings "The Starry Night" and "The Night Cafe". Using the EBImage package in R I converted every pixel of the painting into an RGB value. Then I imported the X & Y vectors of every point of the painting and the point's RGB values into Tableau. Then using the RGB color palette created by Merlijn Buit I visualized every vector in a scatter plot and mapped each RGB value to a specific color.

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Beatles Sentiment Analysis

This analysis looks at the sentiment of all Beatles songs by songwriter similar to the Beatles analysis I did a few months ago. For this analysis I analyzed the lyrics of every Beatles song using the sentiment package in R which classified the Bayesian polarity of every song.

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