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Computing and Data Analysis

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Presentation on theme: "Computing and Data Analysis"— Presentation transcript:

1 Computing and Data Analysis
Unit 6

2 Announcements DEMO at the Quad: VR: GOOGLE CARDBOARD!

3 Lesson Objectives Identify and discuss the considerations that must be made in order for a large data set to be useful (2nd day) Consider how various types of data (numbers text, dates, etc.) lend themselves to processing Collaborate with others to create, manage and maintain large set of data.

4 Group Groups share their merged data
Have a member for each group explain some of the choices that they made, explain challenges they overcame.

5 Guiding Questions Is it important or not that the resulting file be consistent? What does consistency in the data mean? Why might it be important or why might it not be important? What about differences in the number of entries per student? How many might that affect the data?

6 Interesting Questions Examples
What is the happiest room in school? Least happy? What are the top 3 visited rooms by people in the class? What time of day is everyone busiest? What day of the week are people happiest? Lease Happiest?

7 Share Share your questions and answers.
Discuss how to merge all groups data in to one data set.

8 Homework Before leaving class, discuss how to merge all groups data into one data set. Agree on appropriate format that will make processing the data to answer questions. Decide on Text, spatial, quantitative, or qualitative data types Students should now collect data in the class agreed upon format. (Look at Piazza for Whole class form. One for Per 2 and another Per 3.)


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