Reference no: EM133797530

Big data and visualization

Practical project

Learning Outcome 1: Investigate various big data and visualization software, examine their features, and evaluate their application in business.

Learning Outcome 2: Apply a variety of tools/software for data visualization and storytelling.

Assessment Description

In this assessment, students will work in groups to submit an assessment which aims at students performing advanced data visualization and storytelling techniques on a chosen data set and writing a report based on the topics covered in the previous week's workshops.

The following items should specifically be addressed in the report:

Question 1: Describe your dataset, what are the attributes in this dataset, what is the reason that you chose this dataset and what is the goal that you are seeking in this data visualization effort (consider the concept of context in data visualization which was discussed in the lectures Get solution now!)

Question 2: Create graphs that can describe the relationship between the attributes of the dataset

Question 3: Find some patterns or characteristics of the attributes or some relationships between different attributes of the data.

Question 4: Based on the above activities, design appropriate dashboards and story points in Tableau which you can use to narrate your story about your dataset

In the final section of your report, in about 500 words, tell the story of your dataset based on your Tableau story points.

Each student should obtain permission from the lecturer as to which dataset they should use. No two individuals should use the same dataset. There are many publicly available datasets that students can evaluate and analyze for this assessment such as Yahoo Webscope and SQLBELLE. Students can also use search engines such as Google dataset search. Here is a link that provides some useful hint in choosing a good dataset: GOOD DATASET.