In UBC-MDS/gdphelperR: Summarize GDP Data and Make Plots

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(gdphelperR)

First of all, let's retrieve a GDP-related data set from Open Government Portal using gdpimporterr. The first element of the output from gdpimporterr is the data frame which can be used for downstream data wrangling and analysis, while the second element is a character vector containing the title information from the MetaData.

# Use gdpimporterr to download and import data
raw_data <- gdpimporterr("https://www150.statcan.gc.ca/n1/tbl/csv/36100400-eng.zip")
knitr::kable(head(raw_data[[1]]))
raw_data[[2]]

Then, gdpcleanerr helps to rename the column names and clean up the useless columns, preparing the data for summary statistics (gdpdescriberr) and visualization (gdpploterr).

# Use gdpcleanerr to clean raw data
clean_data <- gdpcleanerr(raw_data[[1]])
knitr::kable(head(clean_data))

gdpdesciberr is used to produce customized statistics summary in a nice and easy format.

# Use gdpdescriberr to produce basic summary statistics
stats <- gdpdescriberr(clean_data, Value, Location, .stats=c("mean", "sd", "max"), dec = 3)
knitr::kable(stats)

Finally, gdpimporterr gives a line plot for GDP values across provinces.

# Use gdpplotterr to produce a plot 
gdpplotterr(clean_data)

UBC-MDS/gdphelperR documentation built on Feb. 6, 2022, 7 a.m.