Combine the exploratory and explanatory data skills

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Reference no: EM132317747

Introduction to Business Analytics Assignment - Final Project

The goal of the Final Project is to combine the exploratory and explanatory data skills you have developed during the quarter to address a question using a Storytelling write up (with visuals), a standalone interactive dashboard (shiny or PowerBI), and a screen cast video presentation in ARC. The visuals you use for each may need to be slightly different since the write up can depend on written description and the presentation can depend on oral description, but the dashboard cannot use either. Think of the project as a combination of the midterm project and quick project #2, except the dashboard using shiny or PowerBI. Note, the write up, dashboard and presentation are based on the same EDA but are submitted as three separate documents. This is an individual project, meaning that you do your own analysis and document creation. All documents are to be Rmd, html, or PowerBI. If you use shiny you will need to submit the Rmd file so I can run it on my computer.

You have one of four options for your project: choose one of the three survey data sets provided or find your own data set (I will provide a list of websites to look for data). The three survey data sets are: Seattle Reign customer survey, Under Armour general consumer survey, and Personal Needs survey for a local marketing firm. I suggest you read the provided key for each and examine the data. Each data set has many variables, so you will need to determine which variables you want to use to address the specified question. Since most of the survey questions can be converted to an ordered numeric basis, you can calculate a correlation matrix to see what variables relate strongest to your primary variable of interest. To be clear, the first step of your EDA will be to determine which variables you want to use to address your question.

As with previous projects, you will need perform basic and detailed EDA, check your results statistically. You will need to be methodical, so use the standard EDA process we have developed in class. In your memo, dashboard, and presentation you must assume that your audience is non-technical and are not familiar with the data.

Technical Appendix: Your technical appendix can be the RMD file of your documented R Notebook with EDA including work you used for your dashboard and storytelling document. It is important that your work be reproducible by others, so make sure it is easy to follow.

Dashboard:

1. Dashboard is 1-page, with dashboard title and interactive visuals in shiny R or PowerBI

2. Each visual should be self-explanatory with title, labels, legend and short annotations where necessary. Remember, don't try to use too many visuals.

3. If a PowerBI dashboard is used it must contain a model-based R graphic that changes with slicers. If shiny is used with flexdashboard, all graphs must be interactive.

Storytelling memo:

1. 2-page document with visuals using RMarkdown in HTML or Flexdash Storyboard, turn in the RMD file. This can be a written document or a webpage. Remember to render/knit your document after each step to simplify debugging. Follow the usual guidelines we have discussed about keeping visuals simple and to the point, with titles answering questions or prompting action.

2. Follow the general outline posed in Chapter 7 of Storytelling with Data. Specify your audience and tell them what you want them to do with the information in the story you are telling. Think carefully about the beginning, middle and end, and how to tie it all together. This is NOT easy, it will take some imagination-be creative and have fun.

3. I strongly suggest you leave plenty of time to have a friend review the write up/webpage and ask them to be brutally honest about being able to follow your story and its purpose.

Presentation: Your presentation should be made in ARC software from Canvas and should be limited to 5-minutes. You should follow much of the same guidelines as for the Storytelling document. The presentation should only be 4 - 6 slides long and you should assume the audience does not know the data set and problem you have chosen.

Attachment:- Assignment Files.rar

Reference no: EM132317747

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len2317747

6/6/2019 10:39:59 PM

Submission of final documents: Put your data, dashboard, storytelling document and technical appendix in zip folder and submit to Canvas. You will submit the ARC file to a separate page. If you have not used a zip folder before, type zip in the search bar of your operating system and follow the instructions. Test that you can do this before the due date.

6/6/2019 10:39:53 PM

There are two project deadlines: 1. Submit your preliminary technical appendix in R Notebook. Preliminary means you have examined the data and found your primary variables, but you still have a lot of base and detailed EDA and visual design left. 2. Technical appendix: documentation of EDA/visuals/dashboard in R Notebook. Standalone interactive dashboard in shiny or PowerBI. 2-page “Storytelling” write up in HTML, Word from RMarkdown, or Flexdash Storyboard that includes visuals and 5-minute ARC video.

6/6/2019 10:39:47 PM

Grading Rubric - Storytelling with Data – (15) Identify audience, story with beginning-middle-end, consistent graphs using best practices, recommendation/conclusion, clearly and concisely written. Dashboard – (15) Consistently formatted graphs using best practices, use of dashboard best practices, use of visual best practices, coherent story. If a PowerBI dashboard is used it must contain an R graphic that changes with slicers. If shiny is used with flexdashboard, all graphs must be interactive. Presentation – (10) A 5-minute presentation describing your project, why it is important, the issue or problem being addressed and your recommendation. You should use ARC to capture screen shots and follow Storytelling with Data best practices. Preliminary EDA – (5) Technical Appendix – (25) Header, table of contents, clear, base EDA, detailed EDA, statistical EDA, data observations/questions, commented code.

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