Difference between revisions of "ANLY482 AY2017-18T2 Group19 Methodology"

From Analytics Practicum
Jump to navigation Jump to search
Line 76: Line 76:
  
 
In addition, we require a graph that allows the users to easily identify if the single measure of interest pits well against a target value, and hence, we chose to visualize with bullet graphs. Bullet graphs are able to display those information like a bar graph without compromising on the amount of space required. The following picture demonstrates how the bullet graphs can be read:
 
In addition, we require a graph that allows the users to easily identify if the single measure of interest pits well against a target value, and hence, we chose to visualize with bullet graphs. Bullet graphs are able to display those information like a bar graph without compromising on the amount of space required. The following picture demonstrates how the bullet graphs can be read:
 +
 +
[[Image:G19_Bullet_Chart.png|500px|center]]  

Revision as of 22:42, 14 January 2018


G19 Home.png   HOME

 

G19 Overview Icon.png   PROJECT OVERVIEW

 

G19 Findings Icon.png   PROJECT FINDINGS

 

G19 Management Icon.png   PROJECT MANAGEMENT

 

G19 Documentation Icon.png   DOCUMENTATION

 

G19 To Main Page icon.png   BACK TO MAIN PAGE


 


DATA COLLECTION

The usage of proxy browser by the users records their individual action as they search for the online course reserves they require. The usage of printed course reserves is recorded as the users borrow and return the books. Also, in-house usage of the books are recorded as the users return the books to the library counter instead of the book shelves.

These information will be provided by by the client.


DATA CLEANING AND TRANSFORMATION

The data will need to be transformed into the required formats using various techniques, such as rules and patterns technique, in order for us to perform the necessary processing later. Duplicates and irrelevant data will be removed.


EXPLORATION OF DATA

JMP, Tableau and Javascript will be used for data exploration and visualization. We set out to design a dashboard that aims to answer the following questions:

  1. What proportion of the school is using the course reserve materials?
  2. Are all the course reserve materials fully utilized?
  3. When are the course reserve materials being utilized?
  4. Are we acquiring course materials that students are not using?

To start off, we would like a graph that is capable of visualizing usage over time. Given the immense number of course reserve materials available, we settled on horizon graphs which utilizes position and color to reduce vertical space while still fulfilling functionalities exhibited by a simple line graph. A horizon graph displays metric behavior over time in relation to a baseline. Ideally, with this graph, we will be able to identify when the course reserve materials are most in used and which of the course reserve materials are most in used or not most in used.

In addition, we require a graph that allows the users to easily identify if the single measure of interest pits well against a target value, and hence, we chose to visualize with bullet graphs. Bullet graphs are able to display those information like a bar graph without compromising on the amount of space required. The following picture demonstrates how the bullet graphs can be read:

G19 Bullet Chart.png