etl_extract.etl_macleish: Extract weather data

View source: R/etl_extract.R

etl_extract.etl_macleishR Documentation

Extract weather data

Description

Retrieve data from the Macleish Field Station weather monitors

Usage

## S3 method for class 'etl_macleish'
etl_extract(obj, ...)

## S3 method for class 'etl_macleish'
etl_transform(obj, ...)

etl_transform_help(obj, ...)

Arguments

obj

an etl object

...

arguments passed to methods

Examples


macleish <- etl("macleish")
str(macleish)

## Not run: 
macleish |>
  etl_extract() |>
  etl_transform() |>
  etl_load()
whately <- macleish |>
  tbl("whately") 
orchard <- macleish |>
  tbl("orchard") 
  
whately |>
  summarize(N = n(), avg_temp = mean(temperature))
orchard |>
  summarize(N = n(), avg_temp = mean(temperature))
  
# check data types
whately |>
  glimpse()

# if using SQLite, datetimes will get converted to integers
whately <- whately |>
  mutate(when_datetime = datetime(when, 'unixepoch'))
whately |>
  glimpse()

# show the most recent data -- should be within the past hour
whately |>
  collect() |>
  tail()

# show that no time-shifting is happening
if (require(ggplot2)) {
macleish |>
  tbl("whately") |>
  collect() |>
  mutate(when = lubridate::ymd_hms(when)) |>
  filter(lubridate::year(when) == 2012 & month(when) == 12 & day(when) == 20) |>
  ggplot(aes(x = when, y = temperature)) + geom_line()
}

## End(Not run)

macleish documentation built on Nov. 22, 2025, 1:06 a.m.