The purpose of this assignment is to a) select your visualization topic and b) the dataset(s) to use to achieve your visualization goals Deliverables: A) A writeup that contains the title of your project and what you are planning to visualize from the selected dataset B) EDA on the selected dataset. Regarding dataset selection, the following steps should be taken: One or more datasets are downloaded and investigated. Do not expect that the first dataset that you select has all the answers you want. You will have to search and experiment. Download the dataset in Tableau and experiment with it. Look at the variables and the variable types. Do your variables have the correct types? Make sure that the dataset size is manageable and the speed of the software is sufficient Obtain documentation of each and every variable in the dataset that is of your interest. You should know both the definition of a variable and its units. Even if a definition of a variable is obvious, height for example, differences may exist based on how it was measured (was it reported or was it measured?). For each variable of interest do exploratory data analysis. Check the slides 9-21 from our second class. Specifically, for each quantitative variable do a) a histogram b) calculate descriptive statistics c) find if you have any null values or outliers b) for a categorical variable do a frequency table and find if you have any null values. Plot time series variables over time to find how they vary. Know your variables before you engage any further with the data. Check how the most important variables in your dataset correlate with each other. For quantitative variables you can use scatterplots. For categorical variables you can use crosstabulations. Assess the amount of data cleaning (remove records, fill null values etc.) you have to do to bring your data into a form ready for visualization. It is recommended that you pick a dataset that has been curated by others and does not require significant amount of work. Frequently a lot of insights can be gained by merging two datasets together. For example, by merging purchasing behavior and socioeconomic characteristics you can see who is buying a product. However, merging datasets, due to incompatibilities in variable definitions is not always easy. If you are to merge two datasets make sure it can be achieved relatively easily. Last but not least, can you tell a story? Can this dataset support your visualization idea? Do not only focus on the technical aspect of the data analysis and visualization. Focus on the bigger picture. After finishing your analysis will you have something interesting to say? Look at the following article with simple and effective charts that do tell a story. (You don’t have to create a dashboard to tell a story and I am not expecting that all of you will or have to create a dashboard). Look at the website “our word in data” that has stories and visualizations (most of them simple) for a large number of topics (https://ourworldindata.org (Links to an external site.)) Write a short paragraph or a few sentences for each of the bulleted items above. You can also show me some visuals of the variables that you analyzed. For example, for bulleted item one write down which dataset(s) you explored. Write the number of variables and the number of rows in your data. For item three write if you have documentation or not and write down the variables of interest in your data. For item four show some histograms, time series, or tables of your most important variables. These are exloratory visualizations and do not need to have a high level of refinement. C) What visualizations are you planning to use from the ones we have described in class? Line charts? Bar Charts? Heatmaps? Bubble charts? Connected scatterplots? Create three prototype visualizations using Tableau or even by drawing them on paper. Create a pdf or word document with items A,B, and C and submit it. Also submit your Tableau files. 1.Use Tableau to explore a dataset of your choice based on your HW3 assignment. Optional, you may also use python or any other language to prepare your dataset. 2.Develop three visualizations that tell a story. These should be carefully designed and annotated. Use Tableau to build them but you may have to annotate them yourself. . 3.Create one or more interactive visualizations. Focus on quality rather than quantity 4.Optional: May consider creating a dashboard or a High Dimensional Visualization. 5.Deliver a word/pdf document with your findings and include screenshots of your visualizations. Write two pages about the insights you obtained from the data and the findings your visualizations convey. 6.Upload a Tableau Packaged Workbook (TWBX) File with your pdf document 7. You will present your project on May 12th to the entire class based on alphabetical order.
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