Difference between revisions of "ISSS608 2016-17 T1 Assign2 Franky Eddy"
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| − | = | + | ==Step 1: Identify a theme of interest== |
| + | The wiki dataset consists of answers from survey for research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Theme of interest that can be explored from the dataset is | ||
| + | |||
| + | ==Step 2: Define questions for investigation== | ||
| + | |||
| + | There are 3 questions that will be investigated: | ||
| + | |||
| + | * How | ||
| + | |||
| + | * What | ||
| + | |||
| + | * What | ||
| + | |||
| + | ==Step 3: Find appropriate data attributes== | ||
| + | |||
| + | After defining the questions, the next step is finding the appropriate data attributes. | ||
| + | |||
=== Data Preparation === | === Data Preparation === | ||
Revision as of 12:11, 25 September 2016
Contents
Abstract
Wiki is
- What
- How
- How
To answer these questions, data visualization is used to get insights:
Problem and Motivation
Step 1: Identify a theme of interest
The wiki dataset consists of answers from survey for research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Theme of interest that can be explored from the dataset is
Step 2: Define questions for investigation
There are 3 questions that will be investigated:
- How
- What
- What
Step 3: Find appropriate data attributes
After defining the questions, the next step is finding the appropriate data attributes.
Data Preparation
Analysis
Tools Utilized
The only tool used is Tableau 10.0, JMP Pro.
Results
There are 3 results from the analysis:
