JSC370 Assignment 01 – Exploratory Data Analysis

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Assignment Description
We will work with weather data from the Canadian arctic. There is scientific evidence that the climate is
warming and that these effects are particularly evident in high latitudes. The primary question you will
answer with these data is whether daily temperature in Fort Ross, Nunavut has significantly changed from
1938 to 2021.
The data were downloaded from here.
Your assignment should be completed in R markdown.
Steps
Given the formulated question from the assignment description, you will now conduct EDA Checklist items
2-4.
1. First, read in the original 1938 and 2021 data for the Fort Ross, Nunavut weather station. For each of
the two datasets, check for import issues (dimensions, headers, footers, variable names and variable
types). Check for any data issues (import issues, missing values, data errors) particularly in the key
variable we are analyzing. Make sure you write up a summary of all of your findings.
2. Combine the two years of data into one data frame. This will require cleaning the data – keep only
necessary data columns and change the names of the key variables so that they are easier to merge.
3. Explore the main question of interest. Calculate summary statistics for each year (e.g. means, medians,
variances) and then conduct some basic analyses that enable you to compare both years (e.g. t-test,
linear regression). Be sure to show the results and write up explanations of what you observe in these
data.
4. Create exploratory plots (boxplots, histograms, time series) and a basic map in leaflet() that shows the
locations of the weather stations (make sure to use different colors for the two years).
A glossary and technical documentation about the data from Environment Canada are available here:
https://climate.weather.gc.ca/about_the_data_index_e.html
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