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melb_walk_fast()
to be compatible with the data
API change.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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.