police
RACER
MODULE 1
MODULE 2
MODULE 3
INSTRUCTIONS
GAME DATA
HANDOUTS

Using Graphs to Compare Race Cars

Contributors: Shonda Kuiper, DASIL, Shreyas Agrawal '24, Ginger Rowell, Rod Sturdivant



Part 1A: Introduction

Formula One, NASCAR, rally, and drag racing – these sports combine high-powered machines with speed and dexterity to create literal thrill rides for the driver, techs, and audience. Video game series like Forza and Grand Theft Auto capitalize on those electrifying experiences. But, for most of us, the mechanics behind these cars and their capabilities remain a mystery – as do the physics behind how they are driven, the way their tracks are designed, and so on.

Shows like Top Gear, in one of its many British or American iterations since the 1970s, have attempted to change that for the average person. The most well-known Top Gear hosts over the years – Jeremy Clarkson, James May, and Richard Hammond – used their hour-long program not only to show off fancy “supercars” on and off the track, but also to discuss technical aspects of the vehicles, track conditions, and driver quirks in everyday language. Their snarky banter, clever marketing ploys, and celebrity guest spots were intended to draw in viewers who might be otherwise intimidated by a litany of high-tech specs. Top Gear made it possible for the average person to better understand car mechanics.

The Greenhouse Game allows players to grow and sell crops in a virtual greenhouse. It follows the process of planning, planting, growing, harvesting, and selling crops that farmers follow with each growing season. While players can choose any options they like, they are more likely to earn a profit if they use interactive graphs and statistical models to improve their strategies. Here are some key terms each player should know:

To get a meaningful version of those tech specs, someone behind the scenes must run scenarios numerous times, then compile and analyze the resulting data. In the case of this lab, that will be you!

To get a meaningful version of those tech specs, someone behind the scenes must run scenarios numerous times, then compile and analyze the resulting data. In the case of this lab, that will be you!



Part 1B: Collecting Data

In the game below, you will need a Player ID. This will be online, so don’t use a name that will identify you – choose something random, but it should also be something you can easily remember. On Top Gear, most often the driver of the test track cars was a mystery driver dressed all in white, known only by the nickname “The Stig.” Part of the fun was guessing the identity of The Stig. If you are conducting this lab as part of a class, your instructor will give you a Group ID (which will be identical for every person in the class).

After entering the Player and Group IDs, start by clicking the Tutorial button. The Tutorial will provide an opportunity for you to practice driving two different cars.

Figure 1: Enter your PlayerID and GroupID

Enter your PlayerID and GroupID

Figure 2: Select your car and customize it

Select your car and customize it

Figure 3: Choose the track

Choose the track

Figure 4: Race on your vehicle!

settings to generate data
Part 1C: Exploring Sample Data

How did you do? Did you think one car performed better than the other? What data were you paying attention to as you were racing?.

Before we analyze the data your class has collected, let’s look at a sample dataset, called sample1. In the following visualization app, you first have the Group ID which represents a sample taken from a previous group of players. The X Variable can either be Car, Order, or Player ID. The Y Variable can either be Finish Time or Top Speed Reached. Try switching between different X and Y variables to see what different data pops up. Then, complete the questions below the app to make sure you understand how this app works.



Settings A

  • Group ID   sample1
  • X-axis Variable:   Car
  • Y-axis Variable:   Finish Time
  • Check:   Add Boxplot


  • Instructors Note: Go to faculty resources to access student data





    Continue to Part 2


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    Questions?


    If you have any questions or comments, please email us at DASIL@grinnell.edu

    Dataspace is supported by the Grinnell College Innovation Fund and was developed by Grinnell College faculty and students. Copyright © 2021. All rights reserved

    This page was last updated on  November 11th  2024.