Assignment: Introduction to Data Science
Activity:
Part 1: Data Observation and Data Analysis
A. Examine the Parking Lot Photo.
B. What do you notice?
C. Write down your observations
Part 2: Data Collection, Data Analysis, and Data Visualization
A. Collect data from the picture (count cars of each color or shade)
B. Visualize the data (put your results into excel or google sheets to show the results graphically
C. What do you notice now that you collected the data?
D. Write down your observations
E. How are the observations you made in Part 2 the same or different those you made in Part 1?
F. Write down your findings
Part 3: Predicting
A. Do you think the results of the data collection in Part 2 is a true indicator of the number of cars in your area?
B. Write down your opinion
C. Why do you think so?
Part 4: Data Collecting, Data Analysis and Data Visualization
A. Examine the perimeter around your house area.
B. Count how many cars of a particular color you see
C. Write down your observation
D. Visualize the data (put your results into excel or google sheets to show the results graphically
E. What do you notice now that you collected data about cars around your house?
F. Write down your observations
G. How are the observations you made in Part 4 the same or different from those you made in Part 3?
H. What can you conclude from this difference or similarity?
Part 5: The Ethics
A. Can you apply your findings from Part 4 to the entire neighborhood surrounding your house? Why or why not?
B. Can you apply your findings from Part 4 to the entire borough of Brooklyn? Why or Why not?
C. What if a car manufacturers reported in a commercial the following: "Best Prices on the xxxx color car, the best color car sold in Brooklyn!" (where xxxx is the popular color you discovered as part of your Part 4 findings)
a. Would this be accurate?
b. What is the problem with making this type of statement?
c. If someone heard this advertisement, do you think they would be influenced to buy that color car?
D. When you present your findings in Part 4 to your company executive, what could you do to prevent a misunderstanding of your results?