UIUX: Proposal

From Visual Analytics for Business Intelligence
Revision as of 17:57, 14 October 2018 by Sheryl.yeo.2016 (talk | contribs)
Jump to navigation Jump to search
UIUXBanner.png


PROBLEM & MOTIVATION
UIUXMotivation.png
DATA SOURCES


VISUALISATION PLAN
Type of Visualization
Detailed Description
Sankey
UIUXsankey.PNG

Sample link: http://bl.ocks.org/d3noob/5028304

Sankey Diagrams display flows and their quantities in proportion to one another. The things being connected are called nodes and the connections are called links. It is best used to show a many-to-many mapping between two domains or multiple paths through a set of stages. Sankey is helpful in locating dominant contributions to an overall flow.
Multiple Variable Association Grid Heatmap
UIUXHeatmap.png

Sample link: http://bl.ocks.org/josiahdavis/7e488547a6381a365ac9

Heatmap is a graphical representation of data where the individual values in the matrix are represented using colors. It is useful for visualizing variance across multiple variables to display patterns in correlations. Each cell represents a correlation between one and another: one along the horizontal, the other along the vertical axis. The darker the shade of color, the larger the degree of correlation between the two axis.
Sunburst
UIUXSunburst.jpg

Sample link: https://beta.observablehq.com/@mbostock/d3-sunburst

Sunburst shows the hierarchy through a series of rings, that are sliced for each category node. Rings are sliced and divided based on their hierarchical relationship to the parent. Colour can be used to highlight hierarchal groupings or specific categories.
PROJECT TIMELINE


UIUXSchedule.png


TECHNOLOGIES


UIUX Technologies.png


TECHNICAL CHALLENGES
Challenges Mitigation Plan
  • Team not proficient in Javascript, especially in D3 Libraries
  • Attend workshops on D3.js
  • Independent learning & self-research online
  • Peer Learning
  • Data Cleaning and Transformation
  • Plan the data cleaning steps properly and work closely as a group to ensure tidy data before coding out the visualisations.
  • Huge amount of data set causing slow rendering of web page
  • Research on ways of how to effectively render data
  • Store in database and create cache to prevent slow loading
center}
COMMENTS

Feel free to comment on our project! 😁