Performing advanced data visualization

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Reference no: EM133841849

Big data and visualization

Assessment - 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:

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)

Create graphs that can describe the relationship between the attributes of the dataset Get in touch with us for low-cost assignment help!

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

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.

Report Format:
1. Executive Summary: Clearly summarizes the key point of the report.
2. Introduction: Clearly describes the background, purpose, and structure of the report.
3. Understanding dataset: Clearly demonstrates the knowledge of the chosen dataset.
4. Identification of data and data types: Clearly identifies the data and data types that will be used in the project.
5. Visualizations: Clearly demonstrates the knowledge of data visualizations.
6. Visual analytics: Clearly identifies correct visual analytics that will be required in the project.
7. Storytelling: Clearly describes a feasible and well supported story based on the visualizations
8. Conclusion: Clearly summarizes the key supporting ideas, provides recommendations.

Presentation:
1. Content and structure
2. No text-heavy slides
3. Use of image, charts, graphs
4. Slides are numbered

Reference no: EM133841849

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