Visualization Sandbox
This sandbox was built to allow the researcher to see and compare their own unstructured datasets through three open-source visualization displays. By exploring large amounts of text abstracted to visual patterns, we can discover trends at a scale not normally perceptible. We can combine factors against this unstructured qualitative data to compare different dimensions against one another.
What’s a factor?
Any kind of categorical data that can be used for comparison. Through these factors, you’re building items in a dropdown select list. These are optional, and the application can display up to three. Popular ones are categories from user profiles or research surveys, such as Ethnicity, Gender, Star-Rating, Products, Questions or Personas.
Upload your dataset
- Use a CSV file; include a header row
- Minimum of 500 words for analysis
- Last column contains text for analysis
- Maximum of three columns of factors
- Only the first 10,000 rows will be processed
Example structure
| FACTOR-NAME | FACTOR-NAME | FACTOR-NAME | TEXT |
|---|---|---|---|
| Question 1 | Persona A | Product X | Lorem ipsum dolor sit ame… |
| Question 1 | Persona B | Product Y | Consectetur adipiscing el… |
| Question 1 | Persona C | Product Z | Etiam tempor aliquam libe… |
| Question 2 | Persona A | Product X | Dignissim vulputate estan… |
| Question 2 | Persona B | Product X | Dominous ominous levidtic… |
Three (optional) columns of factors, with the last column containing the text for analysis.
- Max 10,000 rows or 20MB
- Text in last column
- Up to three colums of factors
- Min 500 words
Or, select a sample dataset
“I am…”
Descriptions of self and longing as generated from over 5,000 Ashley Madison profiles. Comparative factors include the profile's persuasion, as well as both their zodiac sign and US city.
“They are…”
Compartmentalization of other people, as generated from Twitter accounts of both conservative and liberal US-based publications. Factors are the publication and the comment's likes and retweets.
“I think…”
Thousands of teenagers reflecting what, in fact, makes their TikTok experiences so great. Comparative factors are their self-stated ethnicity, as well as count of followers and videos.
“You were…”
Missed Connections on Craigslist reflect on how to gracefully slip into and out of someone’s memory. Factors include the city where interaction took place.
About Gauge
Gauge is a user-centric consultancy of ethnographers, designers, data scientists and engineers; largely based in the San Francisco Bay Area and dedicated as a group to help you find clear causality from the wisdom of crowds. We typically work with Product Leads and CMOs to better understand positioning through research, design, data visualization and analysis. Gauge is certified as a Disability-Owned Business Enterprise.