Referenced from lesson Introduction to Computational Data Science

The following is a dataset of a bicycle rider’s training rides.

date miles time weather average speed max speed

04/10/2018

10

44

"cloudy"

13

30

05/30/2018

15

66

"sunny"

13.5

22

06/12/2018

12

61

"rainy"

11.2

25

07/04/2018

24

103

"sunny"

14

26

07/12/2018

24

120

"windy"

12.5

26

What can you answer? For each of the following questions, check the box to the left of questions you can answer. For each checked question, write whether the question is a lookup, compute, or relate question.

Question Lookup, Compute or Relate?

What is the cyclist’s average speed across all rides?

How many miles did they ride June 12th?

Create a bar chart showing the avg speed per day

Does this cyclist ride slower when it is rainy?

Does this cyclist ride faster when they are late to an appointment?

What can’t you answer? For each of the following questions, check the box to the left of questions you cannot answer. For each un-checked question, write whether the question is a lookup, compute, or relate question.

Question Lookup, Compute or Relate?

What tire pressure produces the highest avg speed?

What is the avg time it takes this cyclist to ride 1 mi?

Does this cyclist ride more in April or July?

What is the average speed this cyclist had on July 4th?

Create a pie chart showing the number of flat tires fixed each month

These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, and 1738598). CCbadge Bootstrap:Data Science by Emmanuel Schanzer, Nancy Pfenning, Emma Youndtsmith, Jennifer Poole, Shriram Krishnamurthi, Joe Politz, Ben Lerner, Flannery Denny, and Dorai Sitaram with help from Eric Allatta and Joy Straub is licensed under a Creative Commons 4.0 Unported License. Based on a work at www.BootstrapWorld.org. Permissions beyond the scope of this license may be available by contacting schanzer@BootstrapWorld.org.