Inferactive
Abstract/Contents
- Abstract
Inferactive is a tool designed to help journalists tell stories with data. It is a free and open source web application where a user can upload a column-based dataset like a CSV file and then rapidly iterate possible visualizations, visualizations which could inform a news story or summarize significant trends or outliers in the data.
The premise is that the process of discovery in the world of data is an inherently hard problem for computers but a more intuitive one for humans. By presenting an interface where the user can quickly scan and iterate visualizations and story ideas, Inferactive hopes to bridge this divide in service of news story discovery.
Description
| Type of resource | text |
|---|---|
| Date created | June 6, 2018 |
Creators/Contributors
| Author | Freedman, Dylan |
|---|---|
| Primary advisor | Nguyen, Dan |
| Advisor | Hamilton, James T |
| Degree granting institution | Stanford University, Department of Communication |
Subjects
| Subject | data |
|---|---|
| Subject | visualization |
| Subject | story |
| Subject | discovery |
| Subject | journalism |
| Subject | communications |
| Subject | stanford |
| Genre | Thesis |
Bibliographic information
| Related item |
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|---|---|
| Location | https://purl.stanford.edu/fm735rg7165 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Freedman, Dylan (2018). Inferactive. Stanford Digital Repository. Available at: https://purl.stanford.edu/fm735rg7165
Collection
Masters Theses in Journalism, Department of Communication, Stanford University
View other items in this collection in SearchWorksContact information
- Contact
- freedmand@gmail.com
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