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ONLY REQUIRE VIDEO AND SCRIPT RESEARCH QUESTION: HOW THE RAISED DRINKING AGE IN
ONLY REQUIRE VIDEO AND SCRIPT RESEARCH QUESTION: HOW THE RAISED DRINKING AGE IN AMERICA HAS HAD A DIRECT AFFECT ON THE RISE IN BINGE CULTURE AND DEATH DUE TO ALCOHOL? Please make a video that is less than 10 minutes, describing the Tableau skills you used to tell a compelling story visually. Make sure that your Tableau Dashboard is based upon a thoughtful research question. The video must be of the Tableau screen with the cursor moving around as you explain what you are doing. This is a “how-to” video. You do not need a webcam, I don’t want to see your charming countenance. I recommend that you create the video using Screencast-O-Matic: http://screencast-o-matic.com/home. You can also use your Smartphone or other mobile devices to create the video, for example just point the camera on your Smartphone towards your computer, make the video and upload it to your computer. Data Sources I have a wonderful friend who taught me how to find Excel files for your Tableau Final Projects using Google. It is so easy it will make you cry. robotics filetype:xls cybersecurity "intitle:dataset" site:gov xls You can also search on something like Restaurants 10010 filetype:xls Using my librarian friend’s advice to find datasets I came upon this blog which looks pretty useful: Paruchuri, Vic. 13 Sep 2016. 18 places to find data sets for data science projects. Available: https://www.dataquest.io/blog/free-datasets-for-projects/ Datahub: the easy way to get used and share data. Available: https://old.datahub.io/dataset One of my former students used this site and I found several interesting datasets here: https://www.privacyrights.org/data-breaches My friend is a librarian and he convinced me that learning how to search Google is a worthwhile use of our time. Here is one of the many tutorials that can easily be found: Hindy, Joseph. 20 Tips to Use Google Search Efficiently. Available: http://www.lifehack.org/articles/technology/20-tips-use-google-search-efficiently.html A Tableau Liaison Person recommended: DATA.GOV – lots of info from various government agencies. Some of its kind of messy. I did find 118 datasets under ‘MTA’ although not all of them are for New York, there are at least 5 on the first page. Buzzfeed shares the datasets used in their articles on github: https://github.com/BuzzFeedNews And data.world is a crowd sourced data repository – you need to sign in to access, but it’s free. These two articles are a little bit old, but they also contain pretty good lists of free data sets: Big Data: 33 Brilliant And Free Data Sources Anyone Can Use (Forbes) 18 places to find data sets for data science projects (DataQuest) Remember the topics I am most interested in are: cybersecurity, robotics, homelessness, geospatial and data analytics Grading Criteria for your videos Creativity: Introduce something new or unexpected that can be accomplished with Tableau. 2 points Demonstrate Tableau proficiency: Do a good job of explaining how Tableau is used to make interesting and sophisticated visualizations and dashboards. 4 points Technological competence: Upload your video to YouTube as public or unlisted not as private. I should be able to hear your presentation and the image should be large enough so that I can read anything important on the screen. Your video should be between 7 and 10 minutes long, points will be deducted if it is longer than 10 minutes. 1 point Teaching style: Your presentation should be easy to understand, well organized and entertaining. It is not easy to fit all of your compelling ideas into 10 minutes so write and follow a script. Selecting a research question is an important step. You will conduct your inquiry and design your visualization/dashboard to address it. If you have some research question possibilities carefully consider whether the answer will be of interest to anyone. As you ponder a research question ask yourself “so what” will anybody care about the answer to this question? You must also “bound” your research, pick something that you can feasibly accomplish. Finally, find out whether someone else has already answered this question using the same data. 3 points Demonstrate academic skill: Include a 500-word description of your project with reference(s) for the website or organization your data is from. If you do not want to reveal your data source briefly explain how you have anonymized the data. Include the Tableau file that your project is based upon. 2 points Meet the deadline: Submit your video link on or before the due date. Paste the link for your video in the comments area when you submit the Tableau file and your script as a Word file to BlackBoard. 1 point Reflect upon what you accomplished: Provide an explanation of what you learned by completing this project. Tell us what the purpose of your visualization is. Describe a particular feature you learned that you found helpful in completing this project. 1 point As you start creating the script you will follow as you present your Tableau Final Project video visualizations make sure the first thing you talk about is your research question. Additional Useful Information The following excerpt from the textbook Business Intelligence: A Managerial Perspective on Analytics may be helpful to you. Think of your analysis as a Story – Use a Story Structure When crafting a data-rich story, the first objective is to find the story. Who are the characters? What is drama or challenge? What hurdles have to be overcome? And at the end of your story, what do you want your audience to do as a result? Once you know the core story, craft your other story elements: define your characters, understand the challenge, identify the hurdles, and crystallize the outcome or decision question. Make sure you are clear with what you want people to do as a result. This will shape how your audience will recall your story. With the story elements in place, write out the storyboard, which represents the structure and form of your story. Although it’s tempting to skip this step, it is better first to understand the story you are telling and then to focus on the presentation structure and form. Once the storyboard is in place, the other elements will fall into place. The storyboard will help you to think about the best analogies or metaphors, to clearly set up a challenge or opportunity, and to finally see the flow and transitions needed. The storyboard also helps you focus on key visuals (graphs, charts, and graphics) that you need your executives to recall. In summary, don’t be afraid to use data to tell great stories. Being factual, detail-oriented, and data-driven is critical in today’s metric-centric world, but it does not have to mean being boring and lengthy. In fact, by finding the real stories in your data and following the best practices, you can get people to focus on your message – and thus on what’s important. Here are those best practices: 1. Think of our analysis as a story – use a story structure. 2. Be authentic – your story will flow. 3. Be visual – think of yourself as a film editor. 4. Make it easy for your audience and you. 5. Invite and direct discussion. Sharda, R., Dursun D., and Efraim T. Business Intelligence: A Managerial Perspective on Analytics. Prentice-Hall Press, 2013, page 117 It is not necessary for you to create a storyboard, you must make a compelling presentation, however. There are plenty of ways that we can get the Tableau sample data. Here is a website I found easily …perhaps you can find others: http://powerpivot-info.com/post/50-list-suggested-datasets-to-test-powerpivot. Perhaps you should “make your own data.” For example, you can keep a log of everything you do online, including the time you spend on assignments for our class. This article, “Five ways to avoid the personal online ghetto” by Mars Dorian is about the overconsumption of online time-wasting activities. Retrieved from: http://www.businessesgrow.com/2013/09/11/five-ways-to-avoid-the-personal-online-ghetto/

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