rwalkr 0.5.3

• Updated API URL in melb_walk().

rwalkr 0.5.2

• Included newly-installed sensors.

rwalkr 0.5.1

• Export melb_walk_directional().

rwalkr 0.5.0

• New function melb_walk_directional() to access minute by minute directional pedestrian counts for the last hour from pedestrian sensor devices located across the city.
• Fixed pull_sensor() due to the Socrata API URL change.
• Defunct lookup_sensor(), walk_melb(), run_melb() and shine_melb() in favour of suffixed function names.

rwalkr 0.4.0

• Fixed status “400” for melb_walk_fast() (previously run_melb()) due to Socrata API changes.
• Deprecated walk_melb(), run_melb() and shine_melb() in favour of suffixed function names.

rwalkr 0.3.4

• Fixed date-time formatting for Socrata data update

rwalkr 0.3.3

API changes

• Dropped the argument of tweak in walk_melb(), as the sensor names from the data source match with run_melb().

Minor changes

• Dropped the match column in the data frame called from lookup_sensor().

rwalkr 0.3.2

Major changes

• Returned a tibble (tbl_ts) instead of data.frame.

Minor changes

• Specified the requirement version of shiny to the DESCRIPTION file.

rwalkr 0.3.1

Bug fixes

• Fixed “Count” to be returned as integers instead of characters in run_melb(na.rm = FALSE).
• Fixed duplicated data entries when walk_melb(tweak = TRUE).
• Fixed one non-matching sensor in lookup_sensor().

Updates

• A new sensor “Pelham St (S)” added to run_melb(), pull_sensor(), and lookup_sensor() using Socrata.
• Changed the shiny app using shine_melb() to use walk_melb(tweak = TRUE).

rwalkr 0.3.0

New functions

• 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().

Minor changes

• Added new arguments na.rm = FALSE and tweak = FALSE to the function walk_melb(). If na.rm = TRUE, it removes NAs from the data. If tweak = TRUE, it ensures the consistency of sensor names to run_melb().

rwalkr 0.2.0

• Added the function 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.

rwalkr 0.1.0

• Added a NEWS.md file to track changes to the package.
• Added the function walk_melb() to scrape Melbourne pedestrian data.