Demonstrate an understanding of the fundamental concepts

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Reference no: EM133587849

Data Visualization

Objectives

1. The primary objective of this project is to demonstrate an understanding of the fundamental concepts related to visualization discussed throughout the course.

2. This project should also demonstrate a sound working knowledge of Tableau

3. This project provides an opportunity to practice the art of storytelling with visualizations.

Instructions

1. This project will consist of a Tableau story which detail your visual analysis of a dataset of your choosing (sources for data discussed below)

2. There are no restrictions on the dataset you use, other than it cannot have been used in class.

3. Your visualizations (7 at an absolute minimum) should
1. Support a coherent story (no visualizations just for the sake of visualization)
2. Adhere to the principles of visualization we discussed in class (i.e., pie charts may not be a good visualization choice, rainbow color schemes may not make sense, etc.)
3. Be relevant to managerial decision making
4. Be of varied types to demonstrate the ability to develop multiple visual representations

4. Your Tableau story should
1. Contain at least one introduction story point that provides information about the nature of the problem and the motivation
2. Contain multiple, well-formulated, visualizations
3. Contain at least one Dashboard. The components of the dashboard should make sense to be presented in a single view, rather than just a random collection of visualizations combined for no particular reason.
4. At least one story point that discusses your findings. What do these visualizations tell you about the data? What stands out?
5. At least one story point that discusses your managerial implications. Now that you know what you know based on your
analysis, what are the business takeaways? What steps should be taken? These should be specific, actionable items.
6. A conclusion story point that summarizes what you did, what you learned, and what should be done in light of those insights.
7. Be saved as a TWBX file

5. This project must be original analysis completed independently by each student student or group, as dictated in the syllabus and course website.

Sources of Data

This project allows your group to walk through a visual analysis using real data that is of some interest to you. Data can come from two possible sources:

1. First-hand data directly from your job or your connections. If you choose this option, make sure you have approval from the data owner. This option is strongly recommended.
2. Second-hand data may be obtained from a variety of online sources. Some possible sources of data are listed below:
o Kaggle - This site hosts data mining competitions. You do not have to compete in order to gain access to the data sets.
o UCI Machine Learning Repository - Free data sets hosted by the University of California Irvine.
o Datahub - An online repository of user-submitted data sets.
o SQLBelle Blog - A large list of data sets from a variety of sources on the web.

You are not limited to the sources described above. There are many sources of available data and as long as the dataset you select supports the types of visual analysis described in class, it should be fine. Please be sure that you pick a topic/dataset that is not only interesting but also understandable to you.

Reference no: EM133587849

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