Research: Data Collection Techniques

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Background: As noted by Kirk (2016), working with data is one of the four stages of the visualization workflow.  According to Kirk (2016), “A dataset is a collection of data values upon which visualization is based.” In this course, we will be using datasets that have already been collected for us. Data can be collected through various collection techniques.


Reference: Kirk, Andy. Data Visualisation: A Handbook for Data-Driven Design (p. 50). SAGE Publications.


Assignment: Summarize 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?


This research paper should be at least 3 pages (800 words), double-spaced, have at least 4 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).

    • Posted: 7 days ago
    • Due: 
    • Budget: $12
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    • Background: As noted by Kirk (2016), working with data is one of the four stages of the visualization workflow. According to Kirk (2016), “A dataset is a collection of data values upon …

    • Background: As noted by Kirk (2016), working with data is one of the four stages of the visualization workflow. According to Kirk (2016), “A dataset is a collection of data values upon which a …

    • Background: As noted by Kirk (2016), working with data is one of the four stages of the visualization workflow. According to Kirk (2016), “A dataset is a collection of data values upon …