10 Jun Overview:This project is intended to give you an opportunity t

Overview:This project is intended to give you an opportunity to explore data visualization with Tableau, and work with a larger data set than is typical for textbook exercises. Using data the US Census’s American Community Survey (available to download from Canvas in module 1), you should use the data dictionary and both Excel and Tableau Public to find an “interesting” story, that is to say a relationship in the data that you find interesting, amusing, frightening, or concerning.Assignment:Find two or more variables in the Census data that tell an interesting story. Create a data visualization (or set of data visualizations) that illustrate this story. Your data visualizations might be as simple as scatter plots or more ambitious (geographical visualizations, animated charts). Complete this twice, once using Excel and once using Tableau Public. Make sure at least one of these graphs is very strong. Beneath your stronger graph, include a short paragraph reflecting on whether your graph follows the advice for graphs offered by your textbook (you may choose to ignore this advice, but if so you must acknowledge it and justify your different choice). You will then write a short (roughly ½ page) summary of your story. Include a title page, follow academic writing conventions and write in a professional tone, and save as a word document or .pdf file.Data Note:  Be careful about the ‘Person’s Weight’ variable.  This does not mean ‘how much this person weighs’ it means ‘how much weight to assign this person’s answers.’  If you’re curious (not required) you can read about statistical weighting here: http://www.applied-survey-methods.com/weight.html (Links to an external site.).Grade Note: Be sure to ‘check yourself’ against the rubric below.  Did you compare/contrast Excel vs. Tableau?Rubric (40 points total):8 points: Data Visualization8 pointsViz is appropriate for topic, appealing, and includes nuance, such as some measure of uncertainty7 pointsViz is appropriate for topic and appealing5 pointsViz is appropriate for topic or appealing3 pointsViz is somewhat appropriate or somewhat appealing1 pointViz included8 points: Graph Execution & Reflection8 pointsNo unjustified deviations from textbook advice7 pointsOne unexplained/unjustified deviation from textbook advice5 pointsTwo unexplained/unjustified deviations from textbook advice3 pointsThree or more unexplained/unjustified deviations from textbook advice1 pointNo reflection included, and that’s easy to see (e.g. heading but incomplete)0 pointsNo reflection included, but it took work to tell that (not there, and not explicitly omitted)8 points: Clarity of Data Story8 pointsClear and concise explanation of data story7 pointsSomewhat unclear or overly long explanation of data story5 pointsMarginal explanation of data story3 pointsPoor explanation of data story1 pointNo explanation included, and that’s easy to see (e.g. heading but incomplete)0 pointsNo explanation included, but it took work to tell that (not there, and not explicitly omitted)8 points: Mechanics, Title Page, Spelling, Formatting, etc.8 pointsClear title page, no spelling errors, clear formatting7 pointsThe sorts of errors only picky people care about (margins, ugly fonts, effect/affect…)5 pointsErrors that distract from the work at hand (cursive fonts, dangling participles…)3 pointsErrors that make reading unpleasant or difficult (cursive fonts in bold, split tables…1 pointEgregious errors in mechanics (obscure meaning)8 points: Compare/Contrast Excel vs. Tableau8 pointsKeenly insightful comparison with reference to your particular situation7 pointsInsightful but generic (not personal to you) comparison5 pointsReasonable comparison3 pointsWeak comparison1 pointAny comparison at all