New from Juice Labs: A visualization tool for exploring text data

Today we are pleased to release another free tool on Juice Labs. The Comment visualization is the perfect way to exploring qualitative data like text survey responses, tweets, or product reviews. A few of the fun features:

• Color comments based on a selected value
• Filter comments using an interactive distribution chart at the top
• Highlight the most interesting comments by selecting the flags in the upper right
• Show the author and other contextual information about a comment

Juice Labs - Comments

Below is an example with information about Wikipedia's Lamest Edit Wars. 

For another example, browse data about the most popular Reddit IAmAs for 2012.

Like our other free visualization tools in Juice Labs, the Comments visualization is designed for ease of use and sharing. Just drop in your own data, choose what fields you want to show as text and as values, and the visualization will immediately reflect your choices. The save button gives you a link that includes your data and settings.

If you enjoy this tool, definitely try out our Leaderboard or searchable, sortable Table.  Or if you want to incorporate a series of these visualizations together in an interactive report or dashboard, contact us about Slice.

Are You Ready for Some Football? We Are!

Despite the debacle that was known as the “replacement refs”, football is back!  And if football is being played, then that means fresh new data is being made. We are helping our friends over at FootballOutsiders.com (a.k.a. heaven for NFL stat junkies) display the 2012 NFL Snap Counts in our Leaderboard visualization. Each week you can view which players have played the most (or least) on offense, defense, and special teams. The data can be filtered by position or team and you can search for your favorite player (or fantasy sleeper pick) by last name. After you finish, jump to Juice Labs  and try making a Leaderboard using your own data. It is as easy as 1) paste in your own CSV data; 2) configure the data elements you want to show (see the "Learn how" button in the Data area); 3) share a link to your newly created visualization or embed it in your website.

Leaderboard

We are looking forward to adding more visualizations like this to Juice Labs over the coming months. In each case, you'll be able to use your own data and easily share or embed the visualization. All free.

(Bonus) Football Outsiders Scavenger Hunt. See if you can find these 3 items in the 2012 NFL Snap Count Leaderboard:

1. Which offensive players played on a defensive snap in Week 3? 2. Where does Ryan Lilja from the Kansas City Chiefs rank for special teams snap percentage in Week 2? 3. Which linebackers in the NFC East have more than 150 total snaps thru Week 3?

Thanks to our summer intern Duane Rollins for his help on getting this together.