In UBC-MDS/Group28-CovidTracker-R: Tracking covid data in Canada

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Introduction to CovidTrackerR

CovidTrackerR is a R package for basic data cleaning, wrangling and plotting of Covid tracking data in Canada. The package will allow you to pull data from the opencovid.ca API, visualize Covid related trends as a timeseries or a map, and calculate summary statistics of the Covid data.

Installation

To use this package, follow the installation guide on README and install this package. Then, import the package.

library(CovidTrackerR)

Functions

Retrieve data using get_covid_data:

• This function acquires Canada Covid data of a specified type and for an optionally provided date and province
• If no arguments are given, the default is that the function will return cases data for all provinces and all dates.
• An example of when provinces and dates are provided and omitted are shown below.

covid_data_spec <- get_covid_data('active', 'BC', '13-01-2021')
covid_data_spec

covid_data <- get_covid_data()
head(covid_data)

Geographical visualization with plot_geographical:

• This function creates and plots a cloropleth map of the specified Covid tracking metric per province

covid_df <- CovidTrackerR::get_covid_data()
plot_geographical(covid_df, cases)

Time series visualization with plot_timeseries:

• This function creates a plot of a specified covid metric over time.
• Start and end dates can be optionally specified by user, if dates are not provided, function will create a plot over all dates in dataframe.

df <- get_covid_data()
plot_timeseries(df,cases)

Calculate statistical summaries with calculate_stat_summary:

• This function provides summary information about a specified Covid metric in each province of Canada. It returns a dataframe containing statistical summaries such as the min, max, mean, and quartiles.

covid_df <- get_covid_data()
calculate_stat_summary(covid_df,'cases')

UBC-MDS/Group28-CovidTracker-R documentation built on Feb. 6, 2022, 7 a.m.