数据可视化代写 | Halloween Visualization
本次美国代写是数据可视化相关的一个assignment
This module’s assignment is to create a data visualization using data collected about trick-or-treaters in Cincinnati, OH.
The Data
• “Halloween data for Tableau 2016” is unpivoted which is ideal for creating visualizations in Tableau. Numbers in data file for Tableau are not cumulative.
• Data has been collected since 2008 and is updated annually on the DataPlusScience.com blog. o https://www.dataplusscience.com/HalloweenData.html
• The trick-or-treat count was recorded in 30 minute intervals.
• The night of trick-or-treating has always been on October 31st each year (some neighborhoods change the night of trick-or-treating).
• Official trick or treat hours are from 6pm-8pm, but there are often “stragglers” past 8pm that are not turned away. These stragglers are counted in the 8pm-8:15pm time slot. There has never been a trick-or-treater past 8:15pm.
• The type of candy did not vary year by year. It is always a general mix of candy purchased in bulk variety bags.
• Location of home:
• Neighborhood: East Walnut Hills/Evanston
• being a corner house on the neighborhood border likely increases the number of trick-or-treaters
• City: Cincinnati
• State: Ohio
• Country: United States
• Zip Code: 45207
The Assignment
1. Determine a story or goal for the visualization.
Examples:
• Homeowner dashboard summarizing Halloween
• Forecast future trick-or-treaters or estimate future candy need
• Explore variation of the number of trick-or-treaters year by year
2. This is a very simple data set. There are only a few years of data broken down into 4 half-hour time blocks with cumulative totals. Think broadly about the data.
Examples:
• The data is time series data – any additional choices?
• What comparisons can you make?
• What table calculations can be made?
3.) Build a data visualization based on your story or goal.
4). In addition to the Tableau file, submit a paragraph detailing your goal and the results of your analysis.
The best viz in terms of proper formatting, insightful analysis, and creativity will earn 5 extra credit points.