bikedata

bikedata - Published in JOSS (2017)

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

○
CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 3 DOI reference(s) in README and JOSS metadata
✓
Academic publication links
Links to: joss.theoj.org
✓
Committers with academic emails
2 of 10 committers (20.0%) from academic institutions
○
Institutional organization owner
✓
JOSS paper metadata
Published in Journal of Open Source Software

Keywords

bicycle-hire bicycle-hire-systems bike-data bike-hire database peer-reviewed r r-package rstats

Keywords from Contributors

weather-data weather-forecast weather turfjs turf geojson exploratory-data-analysis overpass-api osm-data crypto-currency-exchanges

Last synced: 4 months ago · JSON representation

Repository

:bike: Extract data from public hire bicycle systems

Basic Info

Host: GitHub
Owner: ropensci
Language: R
Default Branch: main
Homepage: https://docs.ropensci.org/bikedata
Size: 5.36 MB

Statistics

Stars: 81
Watchers: 8
Forks: 17
Open Issues: 19
Releases: 9

Topics

bicycle-hire bicycle-hire-systems bike-data bike-hire database peer-reviewed r r-package rstats

Created about 9 years ago · Last pushed almost 2 years ago

Metadata Files

Readme Changelog Contributing Codemeta

README.Rmd

---
title: "bikedata"
keywords: "bicycle hire systems, bike hire systems, bike hire, bicycle hire, database, bike data"
output:
  rmarkdown::html_vignette:
    self_contained: no

  md_document:
    variant: markdown_github
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```

[![R build status](https://github.com/ropensci/bikedata/workflows/R-CMD-check/badge.svg)](https://github.com/ropensci/bikedata/actions?query=workflow%3AR-CMD-check)
[![codecov](https://codecov.io/gh/ropensci/bikedata/branch/master/graph/badge.svg)](https://codecov.io/gh/ropensci/bikedata)
[![Project Status: Active](http://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/)
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/bikedata)](https://cran.r-project.org/package=bikedata) 
[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/grand-total/bikedata?color=orange)](https://cran.r-project.org/package=bikedata)
[![](http://badges.ropensci.org/116_status.svg)](https://github.com/ropensci/software-review/issues/116)
[![status](https://joss.theoj.org/papers/10.21105/joss.00471/status.svg)](https://joss.theoj.org/papers/10.21105/joss.00471)


The `bikedata` package aims to enable ready importing of historical trip data
from all public bicycle hire systems which provide data, and will be expanded on
an ongoing basis as more systems publish open data. Cities and names of
associated public bicycle systems currently included, along with numbers of
bikes and of docking stations (from 
[wikipedia](https://en.wikipedia.org/wiki/List_of_bicycle-sharing_systems#Cities)),
are

City | Hire Bicycle System | Number of Bicycles | Number of Docking Stations
--- | --- | --- | ---
London, U.K. | [Santander Cycles](https://tfl.gov.uk/modes/cycling/santander-cycles) | 13,600 | 839
San Francisco Bay Area, U.S.A. | [Ford GoBike](https://www.fordgobike.com/)  | 7,000 | 540 
New York City NY, U.S.A. | [citibike](https://www.citibikenyc.com/) | 7,000 | 458
Chicago IL, U.S.A. | [Divvy](https://www.divvybikes.com/) | 5,837 | 576
Montreal, Canada | [Bixi](https://bixi.com/) | 5,220 | 452
Washingon DC, U.S.A. | [Capital BikeShare](https://www.capitalbikeshare.com/) | 4,457 | 406
Guadalajara, Mexico | [mibici](https://www.mibici.net/) | 2,116 | 242
Minneapolis/St Paul MN, U.S.A. | [Nice Ride](https://www.niceridemn.com/) | 1,833 | 171
Boston MA, U.S.A. | [Hubway](https://www.bluebikes.com/) | 1,461 | 158
Philadelphia PA, U.S.A. | [Indego](https://www.rideindego.com) | 1,000 | 105
Los Angeles CA, U.S.A. | [Metro](https://bikeshare.metro.net/) | 1,000 | 65

These data include the places and times at which all trips start and end. Some
systems provide additional demographic data including years of birth and genders
of cyclists. The list of cities may be obtained with the `bike_cities()`
functions, and details of which include demographic data with
`bike_demographic_data()`.

The following provides a brief overview of package functionality. For more
detail, see the
[vignette](https://docs.ropensci.org/bikedata/articles/bikedata.html).

------


## 1 Installation

Currently a development version only which can be installed with the following
command,
```{r, eval=FALSE}
devtools::install_github("ropensci/bikedata")
```
```{r usage2, echo=FALSE, message=FALSE}
devtools::load_all (".")
#devtools::load_all (".", recompile=TRUE)
#devtools::document (".")
#goodpractice::gp ("bikedata")
#devtools::check (".")
#testthat::test_dir ("./tests/")
#Rcpp::compileAttributes()
```
and then loaded the usual way
```{r, eval = FALSE}
library (bikedata)
```


```{r echo=FALSE, message=FALSE, warning=FALSE, error=FALSE}
options(width = 120)
```


## 2 Usage

Data may downloaded for a particular city and stored in an `SQLite3` database
with the simple command,
```{r, echo = FALSE, eval = FALSE}
dl_bikedata (city = 'ny', data_dir = '/data/data/bikes/nyc-temp/',
             dates = 201601:201603)
store_bikedata (bikedb = 'bikedb', data_dir = '/data/data/bikes/nyc-temp/')
```
```{r, eval = FALSE}
store_bikedata (city = 'nyc', bikedb = 'bikedb', dates = 201601:201603)
# [1] 2019513
```
where the `bikedb` parameter provides the name for the database, and the
optional argument `dates` can be used to specify a particular range of dates
(Jan-March 2016 in this example).  The `store_bikedata` function returns the
total number of trips added to the specified database. The primary objects
returned by the `bikedata` packages are 'trip matrices' which contain aggregate
numbers of trips between each pair of stations. These are extracted from the
database with:
```{r, eval = FALSE}
tm <- bike_tripmat (bikedb = 'bikedb')
dim (tm); format (sum (tm), big.mark = ',')
```
```{r, echo = FALSE}
c (518, 518)
"2,019,513"
```
During the specified time period there were just over 2 million trips between
518 bicycle docking stations.  Note that the associated databases can be very
large, particularly in the absence of `dates` restrictions, and extracting these
data can take quite some time.

Data can also be aggregated as daily time series with
```{r, eval = FALSE}
bike_daily_trips (bikedb = 'bikedb')
```
```{r, echo = FALSE}
n <- 87
dates <- c ('2016-01-01', '2016-01-02', '2016-01-03', '2016-01-04',
            '2016-01-05', '2016-01-06', '2016-01-07', '2016-01-08',
            '2016-01-08', '2016-01-10', rep (NA, n - 10))
nt <- c (11172, 14794, 15775, 19879, 18326, 24922, 28215, 29131, 21140, 14481,
         rep (NA, n - 10))
tibble::tibble (date = dates, numtrips = nt)
```

A summary of all data contained in a given database can be produced as
```{r, eval = FALSE}
bike_summary_stats (bikedb = 'bikedb')
#>    num_trips num_stations          first_trip       last_trip latest_files
#> ny  2019513          518 2016-01-01 00:00    2016-03-31 23:59        FALSE
```
The final field, `latest_files`, indicates whether the files in the database are
up to date with the latest published files.

### 2.1 Filtering trips by dates, times, and weekdays

Trip matrices can be constructed for trips filtered by dates, days of the week,
times of day, or any combination of these.  The temporal extent of a `bikedata`
database is given in the above `bike_summary_stats()` function, or can be
directly viewed with
```{r, eval = FALSE}
bike_datelimits (bikedb = 'bikedb')
```
```{r, echo = FALSE}
res <- c ("2016-01-01 00:00", "2016-03-31 23:59")
names (res) <- c ("first", "last")
res
```
Additional temporal arguments which may be passed to the `bike_tripmat`
function include `start_date`, `end_date`, `start_time`, `end_time`, and
`weekday`. Dates and times may be specified in almost any format, but larger
units must always precede smaller units (so years before months before days;
hours before minutes before seconds). The following examples illustrate the
variety of acceptable formats for these arguments.
```{r, eval = FALSE}
tm <- bike_tripmat ('bikedb', start_date = "20160102")
tm <- bike_tripmat ('bikedb', start_date = 20160102, end_date = "16/02/28")
tm <- bike_tripmat ('bikedb', start_time = 0, end_time = 1) # 00:00 - 01:00
tm <- bike_tripmat ('bikedb', start_date = 20160101, end_date = "16,02,28",
                 start_time = 6, end_time = 24) # 06:00 - 23:59
tm <- bike_tripmat ('bikedb', weekday = 1) # 1 = Sunday
tm <- bike_tripmat ('bikedb', weekday = c('m', 'Th'))
tm <- bike_tripmat ('bikedb', weekday = 2:6,
                    start_time = "6:30", end_time = "10:15:25")
```

### 2.2 Filtering trips by demographic characteristics

Trip matrices can also be filtered by demographic characteristics through
specifying the three additional arguments of `member`, `gender`, and
`birth_year`. `member = 0` is equivalent to `member = FALSE`, and `1` equivalent
to `TRUE`. `gender` is specified numerically such that values of `2`, `1`, and
`0` respectively translate to female, male, and unspecified. The following lines
demonstrate this functionality
```{r, eval = FALSE}
sum (bike_tripmat ('bikedb', member = 0))
sum (bike_tripmat ('bikedb', gender = 'female'))
sum (bike_tripmat ('bikedb', weekday = 'sat', birth_year = 1980:1990,
                   gender = 'unspecified'))
```

### 3. Citation

```{r}
citation ("bikedata")
```

### 4. Code of Conduct

Please note that this project is released with a [Contributor Code of
Conduct](https://ropensci.org/code-of-conduct/). By contributing to this
project you agree to abide by its terms.

[![ropensci\_footer](https://ropensci.org//public_images/github_footer.png)](https://ropensci.org/)

Owner

Name: rOpenSci
Login: ropensci
Kind: organization
Email: info@ropensci.org
Location: Berkeley, CA

Website: https://ropensci.org/
Twitter: rOpenSci
Repositories: 307
Profile: https://github.com/ropensci

JOSS Publication

bikedata

Published

December 05, 2017

DOI

10.21105/joss.00471

Volume 2, Issue 20, Page 471

Authors

Mark Padgham

Department of Geoinformatics, University of Salzburg, Austria

Richard Ellison
Institute of Transport and Logistics Studies, The University of Sydney, Australia

Editor

Karthik Ram

CodeMeta (codemeta.json)

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "identifier": "bikedata",
  "description": "Download and aggregate data from all public hire bicycle systems which provide open data, currently including 'Santander' Cycles in London, U.K.; from the U.S.A., 'Ford GoBike' in San Francisco CA, 'citibike' in New York City NY, 'Divvy' in Chicago IL, 'Capital Bikeshare' in Washington DC, 'Hubway' in Boston MA, 'Metro' in Los Angeles LA, 'Indego' in Philadelphia PA, and 'Nice Ride' in Minnesota; 'Bixi' from Montreal, Canada; and 'mibici' from Guadalajara, Mexico.",
  "name": "bikedata: Download and Aggregate Data from Public Hire Bicycle Systems",
  "relatedLink": "https://docs.ropensci.org/bikedata/",
  "codeRepository": "https://github.com/ropensci/bikedata",
  "issueTracker": "https://github.com/ropensci/bikedata/issues",
  "license": "https://spdx.org/licenses/GPL-3.0",
  "version": "0.2.5.046",
  "programmingLanguage": {
    "@type": "ComputerLanguage",
    "name": "R",
    "url": "https://r-project.org"
  },
  "runtimePlatform": "R version 4.1.2 (2021-11-01)",
  "author": [
    {
      "@type": "Person",
      "givenName": "Mark",
      "familyName": "Padgham",
      "email": "mark.padgham@email.com",
      "@id": "https://orcid.org/0000-0003-2172-5265"
    },
    {
      "@type": "Person",
      "givenName": "Richard",
      "familyName": "Ellison"
    },
    {
      "@type": "Person",
      "givenName": "Tom",
      "familyName": "Buckley"
    }
  ],
  "contributor": [
    {
      "@type": "Person",
      "givenName": "Ryszard",
      "familyName": "Szymański",
      "email": "ryszard.szymanski@outlook.com"
    },
    {
      "@type": "Organization",
      "name": "SQLite Consortium"
    }
  ],
  "maintainer": [
    {
      "@type": "Person",
      "givenName": "Mark",
      "familyName": "Padgham",
      "email": "mark.padgham@email.com",
      "@id": "https://orcid.org/0000-0003-2172-5265"
    }
  ],
  "softwareSuggestions": [
    {
      "@type": "SoftwareApplication",
      "identifier": "dodgr",
      "name": "dodgr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=dodgr"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "knitr",
      "name": "knitr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=knitr"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "markdown",
      "name": "markdown",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=markdown"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "rmarkdown",
      "name": "rmarkdown",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=rmarkdown"
    },
    {
      "@type": "SoftwareApplication",
      "identifier": "testthat",
      "name": "testthat",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=testthat"
    }
  ],
  "softwareRequirements": {
    "1": {
      "@type": "SoftwareApplication",
      "identifier": "R",
      "name": "R",
      "version": ">= 3.0"
    },
    "2": {
      "@type": "SoftwareApplication",
      "identifier": "brio",
      "name": "brio",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=brio"
    },
    "3": {
      "@type": "SoftwareApplication",
      "identifier": "DBI",
      "name": "DBI",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=DBI"
    },
    "4": {
      "@type": "SoftwareApplication",
      "identifier": "httr",
      "name": "httr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=httr"
    },
    "5": {
      "@type": "SoftwareApplication",
      "identifier": "lubridate",
      "name": "lubridate",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=lubridate"
    },
    "6": {
      "@type": "SoftwareApplication",
      "identifier": "magrittr",
      "name": "magrittr",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=magrittr"
    },
    "7": {
      "@type": "SoftwareApplication",
      "identifier": "methods",
      "name": "methods"
    },
    "8": {
      "@type": "SoftwareApplication",
      "identifier": "Rcpp",
      "name": "Rcpp",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=Rcpp"
    },
    "9": {
      "@type": "SoftwareApplication",
      "identifier": "readxl",
      "name": "readxl",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=readxl"
    },
    "10": {
      "@type": "SoftwareApplication",
      "identifier": "reshape2",
      "name": "reshape2",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=reshape2"
    },
    "11": {
      "@type": "SoftwareApplication",
      "identifier": "RSQLite",
      "name": "RSQLite",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=RSQLite"
    },
    "12": {
      "@type": "SoftwareApplication",
      "identifier": "tibble",
      "name": "tibble",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=tibble"
    },
    "13": {
      "@type": "SoftwareApplication",
      "identifier": "xml2",
      "name": "xml2",
      "provider": {
        "@id": "https://cran.r-project.org",
        "@type": "Organization",
        "name": "Comprehensive R Archive Network (CRAN)",
        "url": "https://cran.r-project.org"
      },
      "sameAs": "https://CRAN.R-project.org/package=xml2"
    },
    "SystemRequirements": "C++11"
  },
  "applicationCategory": "DataAccess",
  "isPartOf": "https://ropensci.org",
  "keywords": [
    "bicycle-hire-systems",
    "bike-hire-systems",
    "bike-hire",
    "bicycle-hire",
    "database",
    "bike-data",
    "r",
    "rstats",
    "r-package",
    "peer-reviewed"
  ],
  "fileSize": "12713.754KB",
  "citation": [
    {
      "@type": "ScholarlyArticle",
      "datePublished": "2017",
      "author": [
        {
          "@type": "Person",
          "givenName": "Mark",
          "familyName": "Padgham"
        },
        {
          "@type": "Person",
          "givenName": "Richard",
          "familyName": "Ellison"
        }
      ],
      "name": "bikedata",
      "identifier": "10.21105/joss.00471",
      "url": "https://doi.org/10.21105/joss.00471",
      "@id": "https://doi.org/10.21105/joss.00471",
      "sameAs": "https://doi.org/10.21105/joss.00471",
      "isPartOf": {
        "@type": "PublicationIssue",
        "issueNumber": "20",
        "datePublished": "2017",
        "isPartOf": {
          "@type": [
            "PublicationVolume",
            "Periodical"
          ],
          "volumeNumber": "2",
          "name": "The Journal of Open Source Software"
        }
      }
    }
  ],
  "releaseNotes": "https://github.com/ropensci/bikedata/blob/master/NEWS.md",
  "readme": "https://github.com/ropensci/bikedata/blob/main/README.md",
  "contIntegration": [
    "https://github.com/ropensci/bikedata/actions?query=workflow%3AR-CMD-check",
    "https://codecov.io/gh/ropensci/bikedata"
  ],
  "developmentStatus": "https://www.repostatus.org/",
  "review": {
    "@type": "Review",
    "url": "https://github.com/ropensci/software-review/issues/116",
    "provider": "https://ropensci.org"
  }
}

GitHub Events

Total

Watch event: 2
Fork event: 1

Last Year

Watch event: 2
Fork event: 1

Committers

Last synced: 5 months ago

All Time

Total Commits: 649
Total Committers: 10
Avg Commits per committer: 64.9
Development Distribution Score (DDS): 0.043

Past Year

Commits: 1
Committers: 1
Avg Commits per committer: 1.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
mpadge	m**m@e**m	621
Richard Ellison	r**n@i**u	11
Tom Buckley	b**m@g**m	8
szymanskir	r**i@o**m	3
ropenscibot	m**t@g**m	1
Arfon Smith	a****n	1
Grace Li	g**8@b**u	1
Jim Hester	j**r@g**m	1
Maëlle Salmon	m**n@y**e	1
Scott Chamberlain	m**s@g**m	1

Committer Domains (Top 20 + Academic)

berkeley.edu: 1 itls.usyd.edu.au: 1 email.com: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 89
Total pull requests: 15
Average time to close issues: 26 days
Average time to close pull requests: 3 days
Total issue authors: 13
Total pull request authors: 8
Average comments per issue: 2.06
Average comments per pull request: 2.93
Merged pull requests: 13
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

mpadge (66)
tbuckl (7)
ghost (3)
Robinlovelace (3)
richardellison (2)
dpprdan (1)
MathieuMarauri (1)
geospatialmik (1)
krlmlr (1)
szymanskir (1)
tbdv (1)
JorisKlingen (1)
RichardBean (1)

Pull Request Authors

tbuckl (5)
richardellison (3)
szymanskir (2)
maelle (1)
arfon (1)
graceli8 (1)
jimhester (1)
sckott (1)

Top Labels

Issue Labels

must do (14) enhancement (13) future stuff (5) bug (4) coz it oughta be done (4) documentation (2) perma-issue (1)

Pull Request Labels

Dependencies

.github/workflows/R-CMD-check.yaml actions

actions/checkout v2 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/extra-os.yaml actions

actions/checkout v2 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/test-coverage.yaml actions

actions/checkout v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

DESCRIPTION cran

R >= 3.0 depends
DBI * imports
RSQLite * imports
Rcpp * imports
brio * imports
httr * imports
lubridate * imports
magrittr * imports
methods * imports
readxl * imports
reshape2 * imports
tibble * imports
xml2 * imports
dodgr * suggests
knitr * suggests
markdown * suggests
rmarkdown * suggests
testthat * suggests

.hooks/description cran

bikedata

Science Score: 95.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.Rmd

Owner

JOSS Publication

bikedata

Authors

Editor

Tags

CodeMeta (codemeta.json)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Dependencies