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README.md
In opentriviadb: Interface to the 'Open Trivia Database'
opentriviadb
The goal of opentriviadb is to provide an R interface to the Open
Trivia Database. You can access and download
samples of the questions available and make them available from within
R.
Installation
You can install the development version from
GitHub with:
# install.packages("devtools")
devtools::install_github("condwanaland/opentriviadb")
Example
To download questions, simply call get_questions()
library(opentriviadb)
dat <- get_questions(number = 10)
dat
#> category type difficulty
#> 1 Art multiple easy
#> 2 History multiple medium
#> 3 Science: Computers multiple medium
#> 4 Entertainment: Video Games multiple medium
#> 5 Entertainment: Video Games multiple easy
#> 6 Science & Nature boolean easy
#> 7 Animals multiple hard
#> 8 Entertainment: Video Games multiple hard
#> 9 Geography multiple medium
#> 10 Entertainment: Film multiple medium
#> question
#> 1 Who painted the Mona Lisa?
#> 2 Who was the first explorer to sail to North America?
#> 3 Which one of these is not an official development name for a Ubuntu release?
#> 4 What was the name of the first MMORPG to popularize the genre?
#> 5 When was Left 4 Dead 2 released?
#> 6 An average human can go two weeks without water.
#> 7 Which species is a "mountain chicken"?
#> 8 In the "Ace Attorney" series, who was the truly responsible of the forging of the autopsy report of the pivotal IS-7 incident?
#> 9 What is the northernmost human settlement with year round inhabitants?
#> 10 Johnny Depp made his big-screen acting debut in which film?
#> possible_answers
#> 1 Leonardo da Vinci; Pablo Picasso; Claude Monet; Vincent van Gogh
#> 2 Leif Erikson; Christopher Columbus; Amerigo Vespucci; Ferdinand Magellan
#> 3 Mystic Mansion; Trusty Tahr; Utopic Unicorn; Wily Werewolf
#> 4 Ultima Online; World of Warcraft; Meridian 59; Guild Wars
#> 5 November 17, 2009; May 3, 2008; November 30, 2009; June 30, 2010
#> 6 True/False
#> 7 Frog; Chicken; Horse; Fly
#> 8 Bansai Ichiyanagi; Manfred Von Karma; Gregory Edgeworth; Tateyuki Shigaraki
#> 9 Alert, Canada; Nagurskoye, Russia; McMurdo Station, Antarctica ; Honningsvåg, Norway
#> 10 A Nightmare on Elm Street; My Bloody Valentine; Halloween; Friday the 13th
#> correct_answer
#> 1 Leonardo da Vinci
#> 2 Leif Erikson
#> 3 Mystic Mansion
#> 4 Ultima Online
#> 5 November 17, 2009
#> 6 False
#> 7 Frog
#> 8 Bansai Ichiyanagi
#> 9 Alert, Canada
#> 10 A Nightmare on Elm Street
You can control the category, difficulty, and type (multiple
choice/boolean) of the returned questions
dat <- get_questions(10, category = "Sports", difficulty = "easy", type = "multiple")
dat
#> category type difficulty
#> 1 Sports multiple easy
#> 2 Sports multiple easy
#> 3 Sports multiple easy
#> 4 Sports multiple easy
#> 5 Sports multiple easy
#> 6 Sports multiple easy
#> 7 Sports multiple easy
#> 8 Sports multiple easy
#> 9 Sports multiple easy
#> 10 Sports multiple easy
#> question
#> 1 In golf, what name is given to a hole score of two under par?
#> 2 In what sport is a "shuttlecock" used?
#> 3 Which country has hosted the 2018 FIFA World Cup?
#> 4 Which driver has been the Formula 1 world champion for a record 7 times?
#> 5 What team won the 2016 MLS Cup?
#> 6 What year did the New Orleans Saints win the Super Bowl?
#> 7 What team did England beat to win in the 1966 World Cup final?
#> 8 In bowling, what is the term used for getting three consecutive strikes?
#> 9 Who is often called "the Maestro" in the men's tennis circuit?
#> 10 Which two teams played in Super Bowl XLII?
#> possible_answers
#> 1 Eagle; Birdie; Bogey; Albatross
#> 2 Badminton; Table Tennis; Rugby; Cricket
#> 3 Russia; Germany; United States; Saudi Arabia
#> 4 Michael Schumacher; Ayrton Senna; Fernando Alonso; Jim Clark
#> 5 Seattle Sounders; Colorado Rapids; Toronto FC; Montreal Impact
#> 6 2010; 2008; 2009; 2011
#> 7 West Germany; Soviet Union; Portugal; Brazil
#> 8 Turkey; Flamingo; Birdie; Eagle
#> 9 Roger Federer; Bill Tilden; Boris Becker; Pete Sampras
#> 10 The New York Giants & The New England Patriots; The Green Bay Packers & The Pittsburgh Steelers; The Philadelphia Eagles & The New England Patriots; The Seattle Seahawks & The Denver Broncos
#> correct_answer
#> 1 Eagle
#> 2 Badminton
#> 3 Russia
#> 4 Michael Schumacher
#> 5 Seattle Sounders
#> 6 2010
#> 7 West Germany
#> 8 Turkey
#> 9 Roger Federer
#> 10 The New York Giants & The New England Patriots
To view all available categories, opentriviadb provides a helper
function get_categories, which provides a dataframe of all available
categories.
categories <- get_categories()
categories
#> id categories
#> 1 9 General Knowledge
#> 2 10 Entertainment: Books
#> 3 11 Entertainment: Film
#> 4 12 Entertainment: Music
#> 5 13 Entertainment: Musicals & Theatres
#> 6 14 Entertainment: Television
#> 7 15 Entertainment: Video Games
#> 8 16 Entertainment: Board Games
#> 9 17 Science & Nature
#> 10 18 Science: Computers
#> 11 19 Science: Mathematics
#> 12 20 Mythology
#> 13 21 Sports
#> 14 22 Geography
#> 15 23 History
#> 16 24 Politics
#> 17 25 Art
#> 18 26 Celebrities
#> 19 27 Animals
#> 20 28 Vehicles
#> 21 29 Entertainment: Comics
#> 22 30 Science: Gadgets
#> 23 31 Entertainment: Japanese Anime & Manga
#> 24 32 Entertainment: Cartoon & Animations
Roadmap
- Incorporate session tokens to eliminate repeated questions
- Get more than 50 questions by repeatedly hitting the API and saving
intermediates
Try the opentriviadb package in your browser
Any scripts or data that you put into this service are public.
opentriviadb documentation built on March 22, 2021, 5:06 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
opentriviadb
The goal of opentriviadb is to provide an R interface to the Open Trivia Database. You can access and download samples of the questions available and make them available from within R.
Installation
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("condwanaland/opentriviadb")
Example
To download questions, simply call get_questions()
library(opentriviadb)
dat <- get_questions(number = 10)
dat
#> category type difficulty
#> 1 Art multiple easy
#> 2 History multiple medium
#> 3 Science: Computers multiple medium
#> 4 Entertainment: Video Games multiple medium
#> 5 Entertainment: Video Games multiple easy
#> 6 Science & Nature boolean easy
#> 7 Animals multiple hard
#> 8 Entertainment: Video Games multiple hard
#> 9 Geography multiple medium
#> 10 Entertainment: Film multiple medium
#> question
#> 1 Who painted the Mona Lisa?
#> 2 Who was the first explorer to sail to North America?
#> 3 Which one of these is not an official development name for a Ubuntu release?
#> 4 What was the name of the first MMORPG to popularize the genre?
#> 5 When was Left 4 Dead 2 released?
#> 6 An average human can go two weeks without water.
#> 7 Which species is a "mountain chicken"?
#> 8 In the "Ace Attorney" series, who was the truly responsible of the forging of the autopsy report of the pivotal IS-7 incident?
#> 9 What is the northernmost human settlement with year round inhabitants?
#> 10 Johnny Depp made his big-screen acting debut in which film?
#> possible_answers
#> 1 Leonardo da Vinci; Pablo Picasso; Claude Monet; Vincent van Gogh
#> 2 Leif Erikson; Christopher Columbus; Amerigo Vespucci; Ferdinand Magellan
#> 3 Mystic Mansion; Trusty Tahr; Utopic Unicorn; Wily Werewolf
#> 4 Ultima Online; World of Warcraft; Meridian 59; Guild Wars
#> 5 November 17, 2009; May 3, 2008; November 30, 2009; June 30, 2010
#> 6 True/False
#> 7 Frog; Chicken; Horse; Fly
#> 8 Bansai Ichiyanagi; Manfred Von Karma; Gregory Edgeworth; Tateyuki Shigaraki
#> 9 Alert, Canada; Nagurskoye, Russia; McMurdo Station, Antarctica ; Honningsvåg, Norway
#> 10 A Nightmare on Elm Street; My Bloody Valentine; Halloween; Friday the 13th
#> correct_answer
#> 1 Leonardo da Vinci
#> 2 Leif Erikson
#> 3 Mystic Mansion
#> 4 Ultima Online
#> 5 November 17, 2009
#> 6 False
#> 7 Frog
#> 8 Bansai Ichiyanagi
#> 9 Alert, Canada
#> 10 A Nightmare on Elm Street
You can control the category, difficulty, and type (multiple choice/boolean) of the returned questions
dat <- get_questions(10, category = "Sports", difficulty = "easy", type = "multiple")
dat
#> category type difficulty
#> 1 Sports multiple easy
#> 2 Sports multiple easy
#> 3 Sports multiple easy
#> 4 Sports multiple easy
#> 5 Sports multiple easy
#> 6 Sports multiple easy
#> 7 Sports multiple easy
#> 8 Sports multiple easy
#> 9 Sports multiple easy
#> 10 Sports multiple easy
#> question
#> 1 In golf, what name is given to a hole score of two under par?
#> 2 In what sport is a "shuttlecock" used?
#> 3 Which country has hosted the 2018 FIFA World Cup?
#> 4 Which driver has been the Formula 1 world champion for a record 7 times?
#> 5 What team won the 2016 MLS Cup?
#> 6 What year did the New Orleans Saints win the Super Bowl?
#> 7 What team did England beat to win in the 1966 World Cup final?
#> 8 In bowling, what is the term used for getting three consecutive strikes?
#> 9 Who is often called "the Maestro" in the men's tennis circuit?
#> 10 Which two teams played in Super Bowl XLII?
#> possible_answers
#> 1 Eagle; Birdie; Bogey; Albatross
#> 2 Badminton; Table Tennis; Rugby; Cricket
#> 3 Russia; Germany; United States; Saudi Arabia
#> 4 Michael Schumacher; Ayrton Senna; Fernando Alonso; Jim Clark
#> 5 Seattle Sounders; Colorado Rapids; Toronto FC; Montreal Impact
#> 6 2010; 2008; 2009; 2011
#> 7 West Germany; Soviet Union; Portugal; Brazil
#> 8 Turkey; Flamingo; Birdie; Eagle
#> 9 Roger Federer; Bill Tilden; Boris Becker; Pete Sampras
#> 10 The New York Giants & The New England Patriots; The Green Bay Packers & The Pittsburgh Steelers; The Philadelphia Eagles & The New England Patriots; The Seattle Seahawks & The Denver Broncos
#> correct_answer
#> 1 Eagle
#> 2 Badminton
#> 3 Russia
#> 4 Michael Schumacher
#> 5 Seattle Sounders
#> 6 2010
#> 7 West Germany
#> 8 Turkey
#> 9 Roger Federer
#> 10 The New York Giants & The New England Patriots
To view all available categories, opentriviadb provides a helper
function get_categories, which provides a dataframe of all available
categories.
categories <- get_categories()
categories
#> id categories
#> 1 9 General Knowledge
#> 2 10 Entertainment: Books
#> 3 11 Entertainment: Film
#> 4 12 Entertainment: Music
#> 5 13 Entertainment: Musicals & Theatres
#> 6 14 Entertainment: Television
#> 7 15 Entertainment: Video Games
#> 8 16 Entertainment: Board Games
#> 9 17 Science & Nature
#> 10 18 Science: Computers
#> 11 19 Science: Mathematics
#> 12 20 Mythology
#> 13 21 Sports
#> 14 22 Geography
#> 15 23 History
#> 16 24 Politics
#> 17 25 Art
#> 18 26 Celebrities
#> 19 27 Animals
#> 20 28 Vehicles
#> 21 29 Entertainment: Comics
#> 22 30 Science: Gadgets
#> 23 31 Entertainment: Japanese Anime & Manga
#> 24 32 Entertainment: Cartoon & Animations
Roadmap
- Incorporate session tokens to eliminate repeated questions
- Get more than 50 questions by repeatedly hitting the API and saving intermediates
Try the opentriviadb package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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Add the following code to your website.
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