Udacity - DAND - Term 2 - Project 4
For this project, you will create a data visualization using Tableau that tells a story or highlights trends or patterns in a data set. Your work should be a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
Before working on the project, you will need to have either Tableau Public or Tableau Desktop installed. You will need a software license to use Tableau Desktop. If you don’t have one, you can download Tableau Public HERE.
This project will touch on the overarching attitudes and beliefs important to effective data visualization, such as:
You will have an opportunity to experience the end-to-end process of creating effective data visualizations and highlighting important information from data that may otherwise be hidden or hard to uncover.
After completing the project, you will be able to:
Data analyst are storytellers that can translate data findings that other people can easily understand. They view data visualization as an important form of communication.
If you, as a data analyst, can create visualizations to explore data, articulate clear findings to drive business decisions, or use data to elicit consensus from diverse perspectives, then you will be a deeply invaluable member on your team.
For the final project, you will create an explanatory data visualization from a data set that communicates a clear finding or that highlights relationships or patterns in a data set. Your work should be a reflection of the theory and practice of data visualization, and your final deliverable will be a write up along with a Tableau Public workbook.
We will provide some options of data sets to explore; however, you may choose to explore an entirely different data set. You should be aware that finding your own data set and cleaning it using Python, R, or some other language can take considerable time and effort. This can add as much as a day, a week, or even months to your project so embark on the adventure to find and clean a data set if you are truly prepared with data wrangling skills.
You have three options for this project. You should pick an option based on your prior experience with data munging and exploratory data analysis. The option you choose will not affect the evaluation of the project.
First, you will choose a data set from the Data Set Options document. Then, create a visualization that communicates the findings. document or find a data set to explore and visualize. You should choose a data set based on your prior experiences in programming and working with data. The data set you choose will not increase or decrease your chances of passing this project.
Eventually you’ll want to submit your project and share it. To do so, you need to create a zip folder that includes the following:
Write-up: PDF or Markdown file that includes links to your Tableau Public workbooks, published online, and a write-up with four sections. See HERE if you need help publishing your Tableau Public Workbook.
Data Files
Explore your data set and craft a message or story around your data! Think about the overall message you want to convey and think about the comparison(s) or relationship(s) you want your readers to see. Remember that you will ultimately need to create a visualization that is explanatory, helping lead a reader to identify one or more key insights into the dataset. Feel free to use whatever visualization and data analysis tools you feel comfortable with using at this point in the process.
First, sketch ideas for your visualization. Once you settle on a sketch, explain any design choices in that sketch, such as chart type, visual encodings, and layout, in the Design section of the write-up. Then, create your visualization using Tableau. The visualization must include animation, interaction, or both. See the Project Rubric for more information.
Share your visualization with at least one other person and document their feedback. There are many ways to get feedback, and more feedback is generally better! Here are some options.
You might need to ask specific questions to prompt the reader. Here are some questions to help you. You can, of course, ask others.
For each person that gives you feedback, add the person’s feedback to your write-up file in the Feedback section. As you improve and iterate on your visualization, update the visualization AND describe any changes in the Design section of the write-up.
You should save multiple versions of your data visualization after you make changes to it. Remember to save related files with similar numbers.
When should you save your files? You should save your files whenever you have a working version of your data visualization. If you get feedback and make changes, then create a new file and save the file as another version.
Your goal is to build evidence that you have shared your visualization, received feedback, and responded to that feedback. You need to submit an initial version of your data visualization and the final version with the corresponding write-up.
Use the Project Rubric to review your project. If you are happy with your submission, then you’re ready to submit your project. If you see room for improvement, keep working to improve your project!
Based on the instructions above, I delivered the following: