New from Juice Labs: A visualization tool for exploring text data by Zach Gemignani.
From the post:
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
[skipping the lamest Wikipedia edits example]
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.
Apparently the interface starts with the lamest Wikipedia edit data.
To change that, you have to scroll down to the Data window, Hover over Learn how.
I have reformatted the how-to content here:
Put any comma delimited data in this box. The first row needs to contain the column names. Then, give us some hints on how to use your data.
[Pre-set column names]
[*] Use this column as the question.
[a] Use this column as the author.
[cby] Use this column to color the comments. Should be a metric. By default, the comments will be sorted in ascending order.
[-] Sort the comments in descending order of the metric value. Can only be used with [cby]
[c] Use this column as a context.
Tip: you can combine the hints like: [c-cby]
Could be an interesting tool for quick and dirty exploration of textual content.