Access the City of Toronto Open Data Portal.
opendatatoronto 
opendatatoronto is an R interface to the City of Toronto Open Data Portal. The goal of the package is to help read data directly into R without needing to manually download it via the portal.
For more information, please visit the package website and vignettes:
- Introduction to
opendatatoronto - Retrieving multi-sheet XLS/XLSX resources
- Retrieving multi-file ZIP resources
- Retrieving multiple resources using
purrr - Working with spatial data from the portal
Installation
You can intall the released version of opendatatoronto from CRAN:
install.packages("opendatatoronto")
or the development version from GitHub with:
devtools::install_github("sharlagelfand/opendatatoronto", ref = "main")
Usage
In the Portal, datasets are called packages. You can see a list of available packages by using list_packages(). This will show metadata about the package, including what topics (i.e. tags) the package covers, any civic issues it addresses, a description of it, how many resources there are (and their formats), how often it is is refreshed and when it was last refreshed.
library(opendatatoronto)
packages <- list_packages(limit = 10)
packages
#> # A tibble: 10 × 11
#> title id topics civic_issues publisher excerpt dataset_category
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Utilit… 43cbc3… Developm… Mobility Transport… "Locatio… Table
#> 2 EarlyO… earlyo… Communit… Poverty redu… Children'… "EarlyON… Map
#> 3 Daily … 21c83b… Communit… Affordable h… Shelter, … "Daily o… Table
#> 4 Licens… 059d37… Communit… <NA> Children'… "License… Map
#> 5 Toront… 59de0a… City gov… <NA> Economic … "Toronto… Document
#> 6 Short … 2ab20f… Permits … Affordable h… Municipal… "This da… Table
#> 7 Polls … 7bce9b… City gov… <NA> City Cler… "Polls a… Table
#> 8 Rain G… f29335… Location… Climate chan… Toronto W… "This da… Document
#> 9 COVID-… d3f21f… Health <NA> Toronto P… "This da… Map
#> 10 COVID-… cd616c… Health <NA> Toronto P… "This da… Map
#> # … with 4 more variables: num_resources <int>, formats <chr>,
#> # refresh_rate <chr>, last_refreshed <date>
You can also search packages by title:
ttc_packages <- search_packages("ttc")
ttc_packages
#> # A tibble: 14 × 11
#> title id topics civic_issues publisher excerpt dataset_category
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 TTC Sub… c01c6d… <NA> Mobility Toronto T… "This dat… Document
#> 2 TTC Rou… 7795b4… Transp… Mobility Toronto T… "Data con… Document
#> 3 TTC Sub… 996cfe… Transp… Mobility Toronto T… "TTC Subw… Document
#> 4 TTC Str… b68cb7… Transp… Mobility Toronto T… "TTC Stre… Document
#> 5 TTC Rid… 4eb6a6… Transp… Mobility Toronto T… "This dat… Document
#> 6 TTC - … 2c4c84… Financ… Mobility,Fis… Toronto T… "This dat… Website
#> 7 TTC Rid… ef35ef… Transp… Mobility Toronto T… "This dat… Document
#> 8 TTC Rid… d9dc43… Transp… Mobility Toronto T… "This dat… Document
#> 9 TTC Rea… 8217e4… Transp… Mobility Toronto T… "The NVAS… Document
#> 10 TTC - M… d2a784… Transp… Mobility Toronto T… "This dat… Website
#> 11 TTC Bus… e271cd… Transp… Mobility Toronto T… "TTC Bus … Document
#> 12 TTC - A… 4b8090… Transp… Mobility Toronto T… "This dat… Website
#> 13 TTC Ann… 144412… Transp… Mobility Toronto T… "This dat… Website
#> 14 TTC - A… aeddbf… Transp… Mobility Toronto T… "This dat… Website
#> # … with 4 more variables: num_resources <int>, formats <chr>,
#> # refresh_rate <chr>, last_refreshed <date>
Or see metadata for a specific package:
show_package("996cfe8d-fb35-40ce-b569-698d51fc683b")
#> # A tibble: 1 × 11
#> title id topics civic_issues publisher excerpt dataset_category
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 TTC Sub… 996cfe8d-… Transp… Mobility Toronto Tr… TTC Sub… Document
#> # … with 4 more variables: num_resources <int>, formats <chr>,
#> # refresh_rate <chr>, last_refreshed <date>
Within a package, there are a number of resources - e.g. CSV, XSLX, JSON, SHP files, and more. Resources are the actual “data”.
For a given package, you can get a list of resources using list_package_resources(). You can pass it the package id (which is contained in marriage_license_packages below):
marriage_licence_packages <- search_packages("Marriage Licence Statistics")
marriage_licence_resources <- marriage_licence_packages %>%
list_package_resources()
marriage_licence_resources
#> # A tibble: 4 × 4
#> name id format last_modified
#> <chr> <chr> <chr> <date>
#> 1 Marriage Licence Statistics Data 4d985c1d-9c7e-4f74… CSV 2022-04-01
#> 2 Marriage Licence Statistics Data.csv 01dff98a-b56b-4237… CSV 2022-04-01
#> 3 Marriage Licence Statistics Data.xml 41148040-e29d-4a02… XML 2022-04-01
#> 4 Marriage Licence Statistics Data.json 620da420-89be-4227… JSON 2022-04-01
But you can also get a list of resources by using the package’s URL from the Portal:
list_package_resources("https://open.toronto.ca/dataset/sexual-health-clinic-locations-hours-and-services/")
#> # A tibble: 2 × 4
#> name id format last_modified
#> <chr> <chr> <chr> <date>
#> 1 sexual-health-clinic-locations-ho… 70764fa4-281d-4524-bd… XLSX 2019-08-15
#> 2 Sexual-health-clinic-locations-ho… 5af8d0a3-a8a1-4a2e-ba… XLSX 2019-08-15
Finally (and most usefully!), you can download the resource (i.e., the actual data) directly into R using get_resource():
marriage_licence_statistics <- marriage_licence_resources %>%
head(1) %>%
get_resource()
marriage_licence_statistics
#> # A tibble: 487 × 4
#> `_id` CIVIC_CENTRE MARRIAGE_LICENSES TIME_PERIOD
#> <int> <chr> <int> <chr>
#> 1 487 ET 80 2011-01
#> 2 488 NY 136 2011-01
#> 3 489 SC 159 2011-01
#> 4 490 TO 367 2011-01
#> 5 491 ET 109 2011-02
#> 6 492 NY 150 2011-02
#> 7 493 SC 154 2011-02
#> 8 494 TO 383 2011-02
#> 9 495 ET 177 2011-03
#> 10 496 NY 231 2011-03
#> # … with 477 more rows