melb_walk_fast()
to be compatible with the data API change.Fixed a typo in melb_weather()
.
Added a new set of functions to scrape Melbourne microclimate data. (@sa-lee)
melb_walk()
.melb_walk_directional()
.melb_walk_directional()
to access minute by minute directional pedestrian counts for the last hour from pedestrian sensor devices located across the city.pull_sensor()
due to the Socrata API URL change.lookup_sensor()
, walk_melb()
, run_melb()
and shine_melb()
in favour of suffixed function names.melb_walk_fast()
(previously run_melb()
) due to Socrata API changes.walk_melb()
, run_melb()
and shine_melb()
in favour of suffixed function names.tweak
in walk_melb()
, as the sensor names from the data source match with run_melb()
.match
column in the data frame called from lookup_sensor()
.tbl_ts
) instead of data.frame.run_melb(na.rm = FALSE)
.walk_melb(tweak = TRUE)
.lookup_sensor()
.run_melb()
, pull_sensor()
, and lookup_sensor()
using Socrata.shine_melb()
to use walk_melb(tweak = TRUE)
.run_melb()
pulls Melbourne pedestrian data using Socrata, which is faster than walk_melb()
.pull_sensor()
pulls Melbourne pedestrian sensor locations using Socrata.lookup_sensor()
provides a dictionary for sensor names used in walk_melb()
and run_melb()
.na.rm = FALSE
and tweak = FALSE
to the function walk_melb()
. If na.rm = TRUE
, it removes NA
s from the data. If tweak = TRUE
, it ensures the consistency of sensor names to run_melb()
.shine_melb()
to launch a shiny app. It provides two basic plots to take a glimpse at the data: one is an overlaying time series plot and the other showing a dot plot of missing values.NEWS.md
file to track changes to the package.walk_melb()
to scrape Melbourne pedestrian data.