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pixarfilms

:movie_camera: R data package to explore Pixar films, the people, and reception data

https://github.com/erictleung/pixarfilms

Science Score: 26.0%

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
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    Academic publication links
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  • ○
    Scientific vocabulary similarity
    Low similarity (16.4%) to scientific vocabulary

Keywords

data data-science datapackage disney imdb imdb-dataset pixar pixar-films rstats web-scraping wikipedia
Last synced: 6 months ago · JSON representation

Repository

:movie_camera: R data package to explore Pixar films, the people, and reception data

Basic Info
Statistics
  • Stars: 21
  • Watchers: 2
  • Forks: 4
  • Open Issues: 38
  • Releases: 3
Topics
data data-science datapackage disney imdb imdb-dataset pixar pixar-films rstats web-scraping wikipedia
Created about 5 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog Contributing Funding License Code of conduct Citation

README.Rmd 

---
output: github_document
---


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

# pixarfilms 


[![CRAN status](https://www.r-pkg.org/badges/version/pixarfilms)](https://CRAN.R-project.org/package=pixarfilms)
[![R build status](https://github.com/erictleung/pixarfilms/workflows/R-CMD-check/badge.svg)](https://github.com/erictleung/pixarfilms/actions)
[![downloads](https://cranlogs.r-pkg.org/badges/pixarfilms)](https://cran.r-project.org/package=pixarfilms)
[![total\_downloads](https://cranlogs.r-pkg.org/badges/grand-total/pixarfilms)](https://cran.r-project.org/package=pixarfilms)
[![frictionless](https://github.com/erictleung/pixarfilms/actions/workflows/frictionless.yml/badge.svg)](https://github.com/erictleung/pixarfilms/actions/workflows/frictionless.yml)
[![License CC0](https://img.shields.io/cran/l/pixarfilms)](https://img.shields.io/cran/l/pixarfilms)
[![Project Type Toy Badge](https://img.shields.io/badge/project%20type-toy-blue)](https://project-types.github.io/#toy)


> R data package to explore Pixar films, the people, and reception data

This package contains six data sets provided mostly in part by
[Wikipedia](https://en.wikipedia.org/wiki/List_of_Pixar_films).

- `pixar_films` - released and upcoming films
- `pixar_people` - main people involved in creating films
- `genres` - movie genres for each film
- `box_office` - box office reception and budget information
- `public_response` - critical and public response
- `academy` - academy awards and nominations

## Installation

Install `pixarfilms` from CRAN:

```{r, eval = FALSE}
install.packages("pixarfilms")
```

Or you can install the development version of `pixarfilms` from GitHub with:

```{r, eval = FALSE}
remotes::install_github("erictleung/pixarfilms")
```

## Example

```{r}
library(pixarfilms)
pixar_films
```

## Documentation

You can find information about the data sets and more
[here](https://erictleung.com/pixarfilms/). The official CRAN release page can
be found [here](https://cran.r-project.org/package=pixarfilms). And last, a
list of vignettes showcasing some analyses you can do with this package can be
found [here](https://erictleung.com/pixarfilms/articles/).


## Data

This data here within is not constrained to exploring just within R.

Here are direct links to each data set.

```
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/academy.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/box_office.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/genres.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_films.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_people.csv
https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/public_response.csv
```

There's also a `datapackage.json` file (located at `/data-raw/datapackage.json`)
to be a computer-readable data dictionary describing the contents of each data
file as described in
[the data package specifications](https://specs.frictionlessdata.io/data-package/).


## Feedback

If you have any feedback or suggestions on other data that can be added, please
file an issue [here](https://github.com/erictleung/pixarfilms/issues).


## Code of Conduct

Please note that the {pixarfilms} project is released with a
[Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.

## Acknowledgments

- [Wikipedia](https://www.wikipedia.org)
- [OMDb API](https://www.omdbapi.com/)
- [babynames](https://github.com/hadley/babynames) (for inspiration)

Owner

  • Name: Eric Leung
  • Login: erictleung
  • Kind: user
  • Location: New York, NY

Data science generalist. Sharing knowledge and optimizing tools for learning and growth. Open-source and open-data advocate. Community learner.

GitHub Events

Total
  • Issues event: 17
  • Watch event: 7
  • Delete event: 1
  • Issue comment event: 10
  • Push event: 20
  • Fork event: 1
Last Year
  • Issues event: 17
  • Watch event: 7
  • Delete event: 1
  • Issue comment event: 10
  • Push event: 20
  • Fork event: 1

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 186
  • Total Committers: 1
  • Avg Commits per committer: 186.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Eric Leung e****c@e****m 186
Committer Domains (Top 20 + Academic)
erictleung.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 47
  • Total pull requests: 0
  • Average time to close issues: 4 months
  • Average time to close pull requests: N/A
  • Total issue authors: 5
  • Total pull request authors: 0
  • Average comments per issue: 0.66
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 19
  • Pull requests: 0
  • Average time to close issues: 25 days
  • Average time to close pull requests: N/A
  • Issue authors: 3
  • Pull request authors: 0
  • Average comments per issue: 0.47
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • erictleung (40)
  • krlmlr (2)
  • dmi3kno (1)
  • sapetti9 (1)
  • shackdow (1)
Pull Request Authors
Top Labels
Issue Labels
low priority (3)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 1,417 last-month
  • Total dependent packages: 3
  • Total dependent repositories: 5
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: pixarfilms

Pixar Films and Achievements

  • Versions: 3
  • Dependent Packages: 3
  • Dependent Repositories: 5
  • Downloads: 1,417 Last month
Rankings
Dependent packages count: 10.9%
Dependent repos count: 13.0%
Stargazers count: 13.3%
Forks count: 14.2%
Average: 14.4%
Downloads: 20.9%
Maintainers (1)
erictleung@outlook.com
Last synced: 6 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
.github/workflows/frictionless.yml actions
  • actions/checkout v2 composite
  • frictionlessdata/repository v1 composite
.github/workflows/pkgdown.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
.github/workflows/pr-commands.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/pr-fetch v1 composite
  • r-lib/actions/pr-push v1 composite
  • r-lib/actions/setup-r v1 composite
DESCRIPTION cran
  • R >= 2.10 depends
  • tibble * imports
  • DBI * suggests
  • RSQLite * suggests
  • dbplyr * suggests
  • dm * suggests
  • dplyr * suggests
  • forcats * suggests
  • ggbeeswarm * suggests
  • ggplot2 * suggests
  • ggrepel * suggests
  • irr * suggests
  • knitr * suggests
  • lubridate * suggests
  • markdown * suggests
  • patchwork * suggests
  • readr * suggests
  • rmarkdown * suggests
  • spelling * suggests
  • testthat >= 3.0.0 suggests
  • tidyr * suggests