Bohyemian Lab | Hyemi Song

datalovers

This application entails selected 100 recent tweets and 100 useful websites regarding data visualization for data beginners. It enables them to initially explore the world of Data Visualization. For the web version, all datasets are mapped on the world map, which allows users to read the density of datalovers’ population based on six continents. And, the mobile version provides a grid-based interface for users’ better mobile-friendly usability. This is an on-going research to investigate the impact of different interface on data experience.
*** Adobe Design Achievement Awards

*** GDUSA: American Graphic Design Award

*** Visual Loop: Finding stories of Data Visualization

Work Type
Tool

Individual
processing.js, twitter API, google geolocation API, HTML, CSS, Javascript, Photoshop, Illustrator, Invision, After Effects

Web APP Visual Loop

This project came from a personal experience that acquaintances sometimes have asked me if I can share useful references about data visualization. In this process, I realized that finding appropriate information to know data visualization for beginners is not easy although they can reach out a bunch of references on the Internet. This discovery motivated me to create DATALOVERS allows them to initially explore the world of Data Visualization.

Twitter API
Recommended websites
Google geolocation API
1. 100 recent tweets from Twitter API
2. 100 recommended websites that are manually
collected by Hyemi
3. Geolocation data from google geolocation API
Raw data 1: Recent Tweets
1) 100 recent tweets were aggregated from Twitter API that include the word, "data visualization".
2) To find users' locations that twitted the texts, location data shared with public by the users were collected.

!!! User benefit
They learn the current trend of data visualization rapidly.
Raw data 2: Reference Lists
100 useful references (data celebrities, companies, blogs, and books) and the authors' location data were manually collected.

!!! User benefit
They may notice essential references to know for data beginners, which helps them jump into the world of data visualization easily.
Final data sets
With the user-input location data of user accounts on twitter and Google Geolocation API, country/city/longitude/latitude of the data were accumulated and normalized.

Landing Page
All datasets are mapped on the world map, which allows users
to read the density of datalovers' population based on six continents.
Learning Information
Once users click a yellow or blue dot, they can read brief information regarding a selected tweet or reference. If they click a button, named "more", they can instantly open the target webpage.
Evaluation
We can see that the primary population of datalovers is on America and Europe areas. This visualization output does more than allow for data-driven learning among data beginners. Through exploring other datalovers’ geolocation information, data beginners could find much more motivation of delving into data visualization, by identifying with where other datalovers live and talk about similar interests in the real and cyber world.

Sorting, Archiving, Swiping
Sorting and Swiping
The world map based interface adversely affects the usability because users hardly tap buttons located on the world map. Thus, instead of the world map, "GRID" layout is employed for sorting information

Archiving
Users can archive contents in most screens, including list view and detail view.