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139 | 139 | #' \item{wine_servings}{Servings of wine in average serving sizes per person} |
140 | 140 | #' \item{total_litres_of_pure_alcohol}{Total litres of pure alcohol per person} |
141 | 141 | #' } |
142 | | -#' @source World Health Organisation, Global Information System on Alcohol and Health (GISAH), 2010. |
| 142 | +#' @source World Health Organization, Global Information System on Alcohol and Health (GISAH), 2010. |
143 | 143 | #' @examples |
144 | 144 | #' # To convert data frame to tidy data (long) format, run: |
145 | 145 | #' library(tidyverse) |
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159 | 159 | #' The raw data behind the story |
160 | 160 | #' "'Straight Outta Compton' Is The Rare Biopic Not About White Dudes" |
161 | 161 | #' \url{https://fivethirtyeight.com/features/straight-outta-compton-is-the-rare-biopic-not-about-white-dudes/}. |
| 162 | +#' An analysis using this data was contributed by Pradeep Adhokshaja as a package vignette at |
| 163 | +#' \url{http://fivethirtyeight-r.netlify.com/articles/biopics.html}. |
162 | 164 | #' |
163 | 165 | #' @format A data frame with 761 rows representing movies and 14 variables: |
164 | 166 | #' \describe{ |
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187 | 189 | #' The raw data behind the story |
188 | 190 | #' "A Statistical Analysis of the Work of Bob Ross" |
189 | 191 | #' \url{https://fivethirtyeight.com/features/a-statistical-analysis-of-the-work-of-bob-ross/}. |
| 192 | +#' An analysis using this data was contributed by Jonathan Bouchet as a package vignette at |
| 193 | +#' \url{http://fivethirtyeight-r.netlify.com/articles/bob_ross.html}. |
190 | 194 | #' |
191 | 195 | #' @format A data frame with 403 rows representing episodes and 71 variables: |
192 | 196 | #' \describe{ |
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335 | 339 | #' \item{employed_fulltime_yearround}{Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35)} |
336 | 340 | #' \item{unemployed}{Number unemployed (ESR == 3)} |
337 | 341 | #' \item{unemployment_rate}{Unemployed / (Unemployed + Employed)} |
338 | | -#' \item{p25th}{25th percentile of earnigns} |
| 342 | +#' \item{p25th}{25th percentile of earnings} |
339 | 343 | #' \item{median}{Median earnings of full-time, year-round workers} |
340 | 344 | #' \item{p75th}{75th percentile of earnings} |
341 | 345 | #' } |
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362 | 366 | #' \item{grad_employed_fulltime_yearround}{Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35)} |
363 | 367 | #' \item{grad_unemployed}{Number unemployed (ESR == 3)} |
364 | 368 | #' \item{grad_unemployment_rate}{Unemployed / (Unemployed + Employed)} |
365 | | -#' \item{grad_p25th}{25th percentile of earnigns} |
| 369 | +#' \item{grad_p25th}{25th percentile of earnings} |
366 | 370 | #' \item{grad_median}{Median earnings of full-time, year-round workers} |
367 | 371 | #' \item{grad_p75th}{75th percentile of earnings} |
368 | 372 | #' \item{nongrad_total}{Total number of people with major} |
369 | 373 | #' \item{nongrad_employed}{Number employed (ESR == 1 or 2)} |
370 | 374 | #' \item{nongrad_employed_fulltime_yearround}{Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35)} |
371 | 375 | #' \item{nongrad_unemployed}{Number unemployed (ESR == 3)} |
372 | 376 | #' \item{nongrad_unemployment_rate}{Unemployed / (Unemployed + Employed)} |
373 | | -#' \item{nongrad_p25th}{25th percentile of earnigns} |
| 377 | +#' \item{nongrad_p25th}{25th percentile of earnings} |
374 | 378 | #' \item{nongrad_median}{Median earnings of full-time, year-round workers} |
375 | 379 | #' \item{nongrad_p75th}{75th percentile of earnings} |
376 | 380 | #' \item{grad_share}{grad_total / (grad_total + nongrad_total)} |
|
405 | 409 | #' \item{employed_fulltime_yearround}{Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35)} |
406 | 410 | #' \item{unemployed}{Number unemployed (ESR == 3)} |
407 | 411 | #' \item{unemployment_rate}{Unemployed / (Unemployed + Employed)} |
408 | | -#' \item{p25th}{25th percentile of earnigns} |
| 412 | +#' \item{p25th}{25th percentile of earnings} |
409 | 413 | #' \item{median}{Median earnings of full-time, year-round workers} |
410 | 414 | #' \item{p75th}{75th percentile of earnings} |
411 | 415 | #' \item{college_jobs}{Number with job requiring a college degree} |
|
424 | 428 | #' The raw data behind the story |
425 | 429 | #' "Comic Books Are Still Made By Men, For Men And About Men" |
426 | 430 | #' \url{https://fivethirtyeight.com/features/women-in-comic-books/}. |
| 431 | +#' An analysis using this data was contributed by Jonathan Bouchet as a package vignette at |
| 432 | +#' \url{http://fivethirtyeight-r.netlify.com/articles/comics_gender.html}. |
427 | 433 | #' |
428 | 434 | #' @format A data frame with 23272 rows representing characters and 16 variables: |
429 | 435 | #' \describe{ |
|
476 | 482 | #' \item{care_data}{How much, if at all, do you care about the debate over the use of the word "data" as a singular or plural noun?} |
477 | 483 | #' \item{care_proper_grammar}{In your opinion, how important or unimportant is proper use of grammar?} |
478 | 484 | #' } |
479 | | -#' @source See \url{https://github.com/fivethirtyeight/data/tree/master/comma-survey-data}. |
| 485 | +#' @source See \url{https://github.com/fivethirtyeight/data/tree/master/comma-survey}. |
480 | 486 | "comma_survey" |
481 | 487 |
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482 | 488 |
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537 | 543 | #' \item{google_knowledge_occupation}{Their occupation or office, according to Google's Knowledge Graph or, if they're not in there, how Stewart introduced them on the program.} |
538 | 544 | #' \item{show}{Air date of episode. Not unique, as some shows had more than one guest} |
539 | 545 | #' \item{group}{A larger group designation for the occupation. For instance, us senators, us presidents, and former presidents are all under "politicians"} |
540 | | -#' \item{raw_guest_list}{The person or list of people who appeared on the show, according to Wikipedia. The GoogleKnowlege_Occupation only refers to one of them in a given row.} |
| 546 | +#' \item{raw_guest_list}{The person or list of people who appeared on the show, according to Wikipedia. The GoogleKnowledge_Occupation only refers to one of them in a given row.} |
541 | 547 | #' } |
542 | | -#' @source Google Knowlege Graph, The Daily Show clip library, Wikipedia. |
| 548 | +#' @source Google Knowledge Graph, The Daily Show clip library, Wikipedia. |
543 | 549 | "daily_show_guests" |
544 | 550 |
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545 | 551 |
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