Background: As noted by Kirk (2019), working with data, is one of the four stages of the visualization workflow. According to Kirk (2019), “A dataset is a collection of data values upon which a visualization is based.” In this course, we will be using datasets that have already been collected for us – some cleaning has been done also. Data can be collected by various collection techniques.
Reference: Kirk, Andy. Data Visualization: A Handbook for Data Driven Design (pp. 95 -117). SAGE Publications.
Write and submit a paper that summarizes 3 data collection techniques (Interviews, Surveys, Observations, Focus Groups, etc.). Compare and contrast the 3 data collection techniques you selected. Lastly, what collection techniques do you prefer and why?
Your paper should be at least 2 pages (800 words), double-spaced, have at least 2 different APA references, and typed in an easy-to-read font in MS Word (other word processors are fine to use but save it in MS Word format). Your cover page should contain the following: Title, Student’s name, University’s name, Course name, Course number, Professor’s name, and Date. This is an individual assignment which must be accomplished by you alone. Please post your paper to iLearn NLT 6/11 – 10pm EST.
When you are ready to post, click the Res Wknd Data Collection Technique assignment link, then Either click the “Write Submission” link below and directly paste your document into this assignment box OR Browse your Computer and add the entire Microsoft Word document as an attachment (Mac users, please remember to append the “.docx” extension to the filename).