Advanced Data Visualization – Tableau/Python or R

Advanced Data Visualization – Tableau/Python or R
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4033.1.1 : Advanced Elements of Data Visualization

The graduate describes the fundamentals of effective story-telling
through data visualization.

4033.1.2 : Configure Data for Visualization

The graduate configures data for visualization.

4033.1.3 : Visualizing Data Patterns and Proportions

The graduate creates patterns and proportions for effective data
visualization.

4033.1.4 : Visualizing Relationships and Differences

The graduate creates visualizations representing the relationships and
differences of the data.

Advanced Data Visualization – Tableau/Python or R
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4033.1.5 : Data Visualization Presentation

The graduate implements best practices using data visualization
techniques for effective storytelling.

INTRODUCTION
The purpose of this task is for you to visually showcase data by
identifying appropriate sources of data, scraping and cleaning data, and
presenting those data in different formats. As you complete this task,
you will create a dashboard with multiple visualization formats, use
your data to effectively tell a story, and justify the choices you make.
Your choices will be based on the criteria in the scenario and
requirements sections below. You will also submit a brief written
response to explain how you chose to present your data and why your
methods are appropriate.

Advanced Data Visualization – Tableau/Python or R
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You must submit all your data files (both raw and cleaned) in
spreadsheet format (e.g., .csv, .xls, .xlsx). To scrape your data,
choose reliable web sources and use tools common to the industry such as
Python, R, or other industry standard tools. You should use Tableau to
create all your graphic representations (e.g., scatter plots, bubble
charts, density plots, histogram matrices, heat maps, parallel
coordinate plots, multidimensional scaling). Submit these Tableau
outputs as .pdf files. Use a word processor to create your accompanying
written report, as outlined in the requirements. This report should be
two pages long, formatted in 12-point Arial font, and double spaced.
Submit the reports as a .doc, .docx, or .pdf file.

The following artifacts are required to be submitted as part of this task:

data files (raw and cleaned) in spreadsheet format (.csv, .xls, or .xlsx)
dashboard and graphical representations of each data set, as created in
Tableau (.pdf)
written response or data summary (.doc, .docx, or .pdf)

Your submission will not be evaluated if these three artifacts are not
submitted in the proper format.

Advanced Data Visualization – Tableau/Python or R
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By admin in Essays on April 10, 2020