R Observatory: Metrics for hellodatascience version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

hellodatascience

0.1.1

Datasets from the Hello Data Science Book

0packages depend

1.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Mine DogucuFirst published 2026-01-192 releasesCRAN page ↗GitHub ↗

Provides datasets used for analysis and visualizations in the open-access Hello Data Science book.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("hellodatascience", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("hellodata-science/hellodatascience")

Development version from hellodata-science/hellodatascience. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-hellodatascience

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-hellodatascience

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-hellodatascience

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 49 s · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

0

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-16
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-07-15
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 118 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: not tracked
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 0%

Downloads

1.5K

CRAN downloads in the past year

Rank #22,355 · ~4/day · ~125/mo

Releases R versions

Daily download trend is not available in this view yet.

10530 days

48590 days

1.5K1 year

Compare downloads with other packages →

Also on49 r2u29 autocran

Repository

GitHub ↗ hellodata-science/hellodatascience

3Stars

0Forks

0Open issues

0Open PRs

1Releases

31Commits

2Contributors

License GPL-3.0 · 31 commits · Last activity 2026-06-12

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/hellodata-science/hellodatascience on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Mine Dogucu

Author, Maintainer

Authors (3)

Mine Dogucu

Author, Maintainer

Alma Castro

Author

Catalina Medina

Author

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

0.1.1Latest
2026-06-12 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.0
2026-03-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-01-19
Total releases: 2 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5
Bundled data: 243 KB / 8 files
Download size: 428 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hellodatascience")

Format

Dogucu, M., Castro, A., & Medina, C. (2026). hellodatascience: Datasets from the Hello Data Science Book (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.hellodatascience

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hellodatascience version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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