Need to find a dataset and create a compelling dashboard, and story-line Finalize Data Sets and List down the URL’s for all Data Sets. Minimum Data set size: 400 rows, 10-11 “usable” columns containing a mix of dimensions and measures. Describe the details of your data set(s). Data description should be described in a tabular format. The table should contain columns:
• field name
• data description The table should contain all the fields you use for your project. You can search for more than one “related” data set on the same topic - Make sure to specify all details of your data sets. C. Data Cleaning List down the steps you took to approach cleaning the data set and/or checking to see if your data set was clean. List at least 5 (any 5) different categories of data cleaning examples and how you applied it to your project data set. For example: missing values, splitting columns if necessary, combining columns, and other such. Note: Deleting columns and rows will not be included as a data cleaning category. Show screenshots of both pre-cleaning and post-cleaning for each data cleaning category. {Screenshot of part of the data set will do.} Submission Instructions for Part-C For each of the 5 data cleaning categories, you will submit the following:
1) Data category name (Example: Missing Value)
2) Pre-cleaning screenshot of the data set {You do not have to show the screenshot of the entire data set. Screenshot of part of the data set as relevant/applicable to the data cleaning will do.}
3) and the resulting Post-cleaning screenshot of the data set {You do not have to show the screenshot of the entire data set. Screenshot of part of the data set as relevant/applicable to the data cleaning will do.}
4) Explain each category to describe what you performed in each category of data cleaning. D. Data Visualizations You will have a minimum of 5 analysis questions for your project data set. (Make sure you use the appropriate chart type. For example, for categories, you would use bar chart and so on...). Note: Your data visualizations should look visually appealing to a general audience. Submission Instructions for Part D- Type the Analysis Question and paste the screenshot of the corresponding Data visualization created in Tableau below the question. Explain in a brief paragraph (note: one or two sentences is not considered a paragraph) the key points each data visualization tells you. Your explanation should show that you understand how to interpret the information from the data visualization. Also, clearly indicate in your explanation for each visualization--which of the 8 categories below you applied for each visualization—Lack of this information or ambiguous information provided will have points deducted. Note: If you show 5 simple bar charts for all 5 analysis questions, will not be considered. At a minimum, your Tableau visualizations should display any 8 of the following
1. Geographic maps
2. Dates
3. Rank
4. Histogram
5. Groups
6. Parameters
7. Scatter plot
8. Sets
9. Dual Axis Chart
10. Forecast Trend Lines
11. Calculated fields
12. Reference line
13. Box & Whisker plot E. Dashboard A dashboard containing exactly 4 different charts (for the whole data set as a whole, and not for each analysis question). You may repeat/re-use 3 visualizations from the 5 analysis questions. The one other additional visualization used for the dashboard should be different from those used for the 5 analysis questions. For the one other additional visualization, at a minimum, your Tableau visualizations should display any of the following: [clearly indicate in your explanation for each visualization--which of the 8 categories below you applied for each visualization—Lack of this information or ambiguous information provided will have negative impace.]
1. Geographic maps
2.Dates
3. Rank
4. Histogram
5. Groups
6. Parameters
7. Scatter plot
8. Sets
9. Dual Axis Chart
10. Forecast Trend Lines
11. Calculated fields
12. Reference line
13. Box & Whisker plot F. Story telling: Create a story line. A minimum of 2.5-page writing for the Story-Telling section (Times 12, Double space, 1-inch margin). Mention all interesting findings from your data set. In addition, add the screenshot(s) of the Story-telling captions - You will have 5 different Caption-points for Story-Telling (Note: You can re-use any of the visualizations from points C and D to create the Story-Telling captions). Connect the write-up of your Story- Telling to at least 3 different articles and cite them.
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