IS428 AY2019-20T1 Assign Foo Yong Long: Visualization

From Visual Analytics for Business Intelligence
Revision as of 23:48, 13 October 2019 by Ylfoo.2017 (talk | contribs) (→‎Visualization Techniques)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
Cover.png


OVERVIEW

DATA TRANSFORMATION

RISKS

RECOMMENDATION AND RATIONALE

VISUALIZATION


Dashboard Link

The link of the visualization can be found here: https://public.tableau.com/profile/foo.yong.long#!/vizhome/MC2Final/MC2Storyboard?publish=yes

Dashboard 1: Home Page

1stdash.png

Dashboard 2: Response Priority

3rddash.png

Dashboard 3: Data Uncertainty

Analysisconta.png

Visualization Techniques

Technique Rationale & Implementation
Interactive Technique 1: Filter for the use of time range slider
Filter1.png
Adding a filter allows the user to narrow down values that he/she wants to focus on. A slider allows the user to easily select the range of values that he or she wants to focus on and is easier than using a checkbox when analyzing continuous values. Examples of continuous variables used include dates and CPM values.


Implementation:

To achieve this slider filter function, simply do the following steps:

  1. Add the ‘AVG(Value)’ measure to the filter
  2. Select "Range of Values"
  3. Show the filter
Interactive Technique 2: Hover
Hover12.png
Having the hover function allows the user to get important information about a data point at one glance.

Implementation:

To achieve the hover function, simply do the following steps:

  1. Drag relevant details to ‘Tooltip’
  2. Edit Tooltip. Make sure the variables are utilized.
Interactive Technique 3: Group
MobileSensorsHighgroup.png

To better segmented and analyze data points that have similar characteristics.

Implementation:

To add more information to the hover function, simply do the following steps:

  1. Highlight data points.
  2. Right-click on them and add to group
Interactive Technique 4: Pages/Animation
Pages.png
Incorporating timing into pages allows us to better analyze the movement of certain data points. It provides a new context for analysis and helps user to spot trends.

Implementation:

To achieve the Filtering by Neighbourhood filter, simply do the following steps:

  1. Drag ‘timestamp’ to ‘Filter’
  2. Drag 'timestamp' to pages