This release provides the following new features:
The following bugs were fixed:
The iSENSE team was down at the 2014 USA Science and Engineering Festival in washington DC. We met a lot of interesting people and got to collect some cool data. We estimated pi. We determined the probabilities behind a plinko board. We even figured out where different eye colors come from .
We hope that you all enjoyed our booth and that you are looking forward to working with iSENSE. If you have any questions please contact us at firstname.lastname@example.org
(we dont have the photo from this year yet, so this is last time) Left to right back to front: Melinda Willis, Hassan Mckusick, Chris Adoretti, James Dalphond, Mike McGuinness, Alan Rosenthal, Ivan Rudnicki, Evana Gizzi, Chris Granz, Michelle Scribner-MacLean, Fred Martin
The iSENSE web development team is committed to delivering new features, fixing bugs, and tweaking the user interface to ensure you get the most out of iSENSE. This release touches on all those points.
Sorting data sets by contributor keys
Now, you can sort data sets by contributor keys. A key will appear next to all data sets contributed with a contributor key as shown below.
The letter on the key icon corresponds to a specific key, which you can view in the drop down menu. In the example below, all data sets contributed with the C Block Biology key are labeled A, and all data sets contributed with the D Block Biology key are labeled B.
Using the drop down menu, you select and visualize data sets contributed with specific contributor keys.
This feature is perfect if you want to analyze specific groups of data sets. For example, a teacher conducting an experiment with his or her C Block Biology and D Block Biology classes may want the option to analyze each class's data separately. If the teacher distributes two different contributor keys, one key for the B Block class and another key for C Block class, he or she will be able to visualize all data contributed by each class separately.
Visualizations are now configured with better defaults centering around the data point number field
The data point number field allows for more ways to visualize data sets that do not already contain number fields. The default y axis for timeline, bar, and histogram visualizations is now only the data point number when the project contains no other number fields. In addition, bar and histogram visualizations are enabled as long as there is a least 1 data point, and row count is now the only valid analysis type on a bar visualization when data point is the only number field.
Exporting data sets
You are can now export data sets as individual files or a single concatenated file. When you click the export button, you will be asked to select one of these two options.
Introducing the color picker for visualizations
The color picker for visualizations now allows for the default color pallet to be overridden. You can select a customized color to represent that data by clicking the color wheel icon next to a data set on all visualizations.
And be sure to learn more about the iSENSE team on the Contact page.
Earlier this week, Ivan and Fred met with a researcher at Tufts, Michelle Wilkerson-Jerde, who's studying how middle-schoolers create representations of data.
We mentioned a high school teacher who's using iSENSE for her kids to do statistics by "flipping" thumbtacks and counting whether they land point-up or point-down. Sort of like flipping coins, only it's not a 50/50 outcome.
Prof. Wilkerson-Jerde said it reminded her of a way of estimating pi by tossing toothpicks onto a grid of horizontal lines -- spaced one toothpick's width's apart.
Ivan's made a project based on this concept, originally proposed by 18th century by French philosopher Georges-Louis Leclerc.
Check it out:
-- Fred Martin
iSENSE v4.9 offers several UI tweaks and bug fixes to improve your iSENSE experience.
iSENSE also has a new API call that allows users to append to a data set. A data set owner can append to his or her data set; project owners can append to their data sets contributed with contribution keys; and a contributor can append to a data set if his or her key is valid and matches the data set's key. For information on this new API call, please see the API documentation found here: http://isenseproject.org/api/v1/docs.
A full log of changes is here: https://github.com/isenseDev/rSENSE/compare/v4.8...v4.9
Please continue to stay tuned for a new text editor that'll replace CKEditor and the ability to sort data sets by contribution keys as well as view what data sets were contributed using contribution keys.
Our next iSENSE Professional Learning Community meeting will take place on Thursday, March 27, at 4:30 PM. At this meeting, we will present information about the upcoming Science of Rivers field trips to the Merrimack River in Lowell MA. We have funding to provide field trips this May and June for your middle and high school environmental science and biology students. Please come to this meeting if you want to bring your students on our field trip!