We’ve added a new tool to the LibAnalytics data arsenal – Numerical Analysis! It’s perfect for answering these types of questions:
- On average, how many people use your study rooms after 3pm on Thursdays?
- In July, how many people were in the building before 10am?
- What are the total and average number of attendees in your instruction sessions?
Numerical Analysis offers answers to all of these mysteries – it will give you the sum, average, median, and a max/min value for each numerical field you create. Here’s how to use it:
- Create an instance that contains numeric fields (head count, study room use, instruction attendance, etc.) & collect some data
- Head to the Data Explorer, and apply any filters you’d like (date/day/time, field values, etc.)
- Click “Apply Filters” – Numerical Analysis is the last tab option:
Numerical Analysis is a major advance in the LibAnalytics arsenal, and offers a new level of insight in the data you collect. With numbers like these in your holster, your annual reports will wave the white flag of surrender in no time. A big thanks goes out to the folks who requested this feature!
Last week we introduced you to our awesomesauce Cross Tab reports.
This week we’re all about bringing you the cherry on top: customization…and more customization!
1. Custom Ordering of Fields
You’re psyched you have so many options and can really record any data you want – we hear ya, it’s pretty darn sweet. But you also want to put them on the page in any order you want? Done.
For example, if you want to have a multiple choice field of “Location” and want one of the options to be “Other”, now you can put a free text field just under it and have people record what “Other” actually is.
Just think of the options…the freedom! Now go have fun rearranging your instances… 🙂
2. Custom Head Section For Each Instance
If you thought LibAnalytics was tasty, then our new awesome-sauce feature will blow your data tastebuds away! Cross Tab Reporting is like the umami of comparative statistics. It enables you to see a full comparison between any 2 multi-choice fields, making it easy to identify interdependencies between the data you track.
For instance, let’s say you’re tracking Reference transactions in your library. You might have chosen to track things like “Question Method” (in person, phone, email, IM, SMS) and “Who Asked the Question” (Undergraduate, Graduate, Faculty, Staff, Visitor). With Cross Tab Reports, you can create an instant comparison of the values in those two fields, making it easy to see where various users are asking questions:
Love it? Us too! Even better, you can filter cross tab report results by date range, day of the week / time of day, data entered, and/or text in the question. This helps reveal interdependencies in the data you track.
To get cooking with cross tab reports, LibAnalytics users can head to the Data Explorer, and select the “Cross Tab Report” tab. As always, thanks to the community for this most excellent feature suggestion!