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Data Science

Department of Management Information Systems, Temple University

Data Science

MIS 0855.003 ■ Fall 2022 ■ Guohou Shan
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Week5 Quiz and Week4 Summary

September 15, 2022 Leave a Comment

Here are some important things for preparing for the 5th week:
 
Week 5 quiz due (you can click the highlights to get the related content)
  • please read the reading materials for Week 5 (one reading)
  • please finish the week 5 quiz before the class on 9/20 (Tuesday).
 
Preparing for the exams
  • Don’t want to signal urgency and panic, but our first exam will happen on 9/29. 
  • I will hold on review session and Q&A on 9/27.
  • At the same, if you have any questions regarding the class content (e.g., concepts), please feel free to contact me or come to my office hour directly. 
  • I plan to release the new office hour schedules next Tuesday based on your common time availability selections from this link: https://fox.az1.qualtrics.com/jfe/form/SV_9BxknEnNQ8HOS34
 
Week 4 key takeaways 
  • Data visualization is part science, part art
  • Some basic principles of data visualization
    • Simple
    • Compare
    • Attend
    • Explore 
    • View diversity
  • Some basic elements of a data visualization
    • Content
    • Context
    • Construction
  • Some additional notes about data visualization
    • Y axis of figures should start from 0
    • Visualization size should be comparable with values
    • Aspect ratio can tell a lie about the trend of visualization of figures
    • 3-D effect makes the visualization confusing to interpret
    • Too many sectors make the pie chart ugly
    • Pie chart must add up to 100%
  • Some basic elements of a data visualization
    • Function: Function is a mapping from a set of values to another set of values
    • Filtering:  dropping observations from consideration using some criteria
    • Sorting: allows us to change to the order in which the items are presented in a sequence.
I will release your grades regarding your quiz and in-class activity in the morning of this Saturday. 
If you didn’t submit them, please finish by this Friday night.

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LECTURE RECORDINGS

Recordings are as follows.

14th week 11/29/2022
12/1/2022
13th week 11/15/2022 11/17/2022
12th week 11/08/2022 11/10/2022
11th week 11/01/2022 11/03/2022
10th week 10/25/2022
10/27/2022
9th week 10/18/2022 10/20/2022
8th week 10/11/2022 10/13/2022
7th week 10/04/2022 10/06/2022
6th week 09/27/2022
09/29/2022
5th week 09/20/2022 09/22/2022
4th week 09/13/2022 09/15/2022
3rd week 09/06/2022 09/08/2022
2nd week 08/30/2022 09/01/2022
1st week 08/23/2022 08/25/2022

RECENT ANNOUNCEMENTS

  • Week 13 Summary
  • Week13 Prep and Week12 Summary
  • Week12 Prep and Week11 Summary
  • Week10 Prep and Week9 Summary
  • Week9 Prep and Week8 Summary
  • Week8 Prep and Week7 Summary
  • Week6 Exam and Week5 Summary
  • Week5 Quiz and Week4 Summary
  • Week4 Quiz and Week3 Summary
  • Week3 Quiz and Week2 Summary
  • Week2 Quiz and Week1 Summary

  • Video for part6 in-class-activity0915
  • Video recap for in-class-activity0913
  • Data visualization
  • Assessing the Trustworthiness of Data
  • Welcome to MIS0855 Data Science!
  • Teaching Team

    Guohou (Jack) Shan (Instructor)
    guohou.shan@temple.edu

    I am available to meet students on Tuesday (3:30 pm – 4:30 pm) at Speakman 208E. I will also hold virtual office hours from 1-3 pm on Monday and Friday (4 pm – 5 pm) over zoom (https://temple.zoom.us/j/2292311746).  If the time is not convenient for you, please send me an email.

    Anna M Boykis (Information Technology Assistant)
    anna.boykis@temple.edu

    Email Anna to arrange a meeting.

    GREAT DATA SITES

  • FiveThirtyEight
  • Guardian Data Blog
  • Flowing Data
  • Financial Times Data Blog
  • Pew Research Data
  • US Government Open Data
  • OpenDataPhilly
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