STAT 1000 - Worksheet 4
Name 1 (Student Number 1), Name 2 (Student Number 2), .. .
2022-10-06
Instructions
To complete this assignment, add code as needed into the R code chunks given below. Do not delete the
question text. This is a group worksheet, and you may form a group with your classmates of no more than
three (3) students. Be sure to change the author of this file to reflect the names and student numbers of
your group members.
To properly see the questions, knit this .Rmd file to .pdf and view the output. You will have a link in your
email that takes you to the Crowdmark submission page. Once you have completed the worksheet, knit it
to .pdf and upload your output to Crowdmark. Make sure you properly identify your groupmates through
Crowdmark (it will prompt you).
Note: code sharing with your classmates is only permitted during the lab time. Code sharing outside of the
lab may be considered an act of academic dishonesty. These worksheets are intended to be finishable during
the lab; if you are struggling, please see the Help Centre in 311 Machray Hall.
Questions
1. Import the Weather2020.csv dataset as a dataframe called Weather. Make sure you are handling the
header correctly. This dataset contains various daily weather readings for Winnipeg over the course of
2020.
Weather <- read.csv("C:/Users/USER/Downloads/Weather2020.csv")
2. The variables min_temperature and max_temperature contain the daily minimum and maximum tem-
perature readings, in degrees Celsius. Create a scatterplot comparing the minimum daily temperatures
(X) to the maximum daily temperatures (Y).
plot(Weather$min_temperature,Weather$max_temperature,xlab="Minimum Daily Temperature (Celsius)",ylab="Maximum Daily Temperature (Celsius)",main="Winnipeg Weather 2020")
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