A couple of weeks ago I blogged about an idea I had that involved combining subject data from SerialsSolutions with use data for our ejournals to get a broad picture of ejournal use by subject. It took a bit of tooling around with Access tables and queries, including making my first crosstab, but I’ve finally [...]
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I have microlent to: Rose
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It’s a mashup of two of my favorite things — data visualization and social media. Of course I’m going to make one. The interesting thing is that for some reason I come across as a gamer according to the algorithms. Unless you count solitaire, sudoku, and Words with Friends, I’m not really a gamer at [...] [I took notes on paper because my netbook power cord was in my checked bag that SFO briefly lost on the way here. This is an edited transfer to electronic.] presenter: Joseph Baisano Dashboards pull information together and make it visible in one place. They need to be simple, built on existing data, but expandable. [...] My friend Brent suggested that measuring caffeine intake by the ounces of the beverages consumed isn’t a good calculation, and he’s right. So, I went back and used this chart to determine the milligrams of caffeine per ounce depending on the beverage consumed. Here’s how the totals break down: I found it interesting that [...] I’ve been meaning to share this here. Back in January & February, I started using Daytum to keep track of the hours of sleep and ounces of caffeine I consumed each day. I’m not sure how much being aware of the data gathering influenced my decision-making, but it felt about like normal, so this is [...] |
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