ISSS608 2016-17 T1 Assign2 Franky Eddy

Abstract

Nowadays, internet has been one of the most popularly used technology to explore and find useful information. Wikipedia is one of the most commonly used source for studying as well as teaching resource.

• What
• How
• How

To answer these questions, data visualization is used to get insights:

Problem and Motivation

In order to

Approaches

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

Before using the data to do analysis, firstly data preparation needs to be done. The first thing to be done is recoding all "?" values to blank values. After that, other variables such as Gender, Domain, PhD, YearsExp, University, UOC_Position, Other Position, OtherStatus, and UserWiki are also recoded as can be seen in the figure below.

After recoding the variable values, next, the dataset needs to be reshaped so that

Analysis

After preparing the data, next step is to do the analysis. The analysis is done to answer the questions that have been defined.

Results

There are 3 results from the analysis:

Link to Tableau Public : Dashboard 1[1] Dashboard 2[2]

Tools Utilized

The tools used for this analysis are Tableau 10.0, JMP Pro12, and Microsoft Excel, Tableau Public. Charts used: Bar Chart, Stacked bar Chart, Treemap, Trellis Chart