VISUAL AND DATA ANALYTICS

Implementation completed in this project might be included in the ScatterBlogs (Web based Visual Analytics tool for Social Media Data) Project. Future extensions also include exploring 'Node.js' API(platform for server side scalable applications) for integration with D3 based applications.

Advisor: David S. EbertMentor: Shehzad AfzalStudent: Niveah Abraham

PROJECT GOALImplement interactive linked visualizations that support analyzing multivariate social media data.

PROJECT SUMMARY Learned to use D3 visualization library

to design web based visual analytic tools for social media (Twitter) data.

D3 library supports creating visualizations using SVG, JavaScript, CSS and data-driven DOM manipulation. These visualizations could run in any web browser with no special installation requirements on client side.

Data-intensive and computationally expensive tasks are performed on server side and only data summaries are transferred to client side that supports interactive data exploration and visualization.

D3 makes it easy to couple data and visualizations together and DOM manipulations make visualizations adaptable to data changes.

The project aims at designing D3 library based linked visualizations for social media data that include:- Multi-series line chart - Crossfiltering- Area charts - Choropleth map

DESIGN PROCESSThe data provided was the number of transportation, dengue and weather related tweets that occurred over a span of approximately 3 years in a certain geographic region. I chose these visualizations (displayed to the left) to study : 1) the relationship between number of tweets related to different topics 2) their distribution on the map 3) identify any patterns in the data.

FUTURE GOALS

Area chart

Multi-Series Line chart

Choropleth Crossfilter

REFERENCES: Choropleth, Crossfilter, Area chart, MSL chart: D3js.org