{survivoR} 2.3.3 is now available
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Wrapping up season 46 and time for another release of survivoR. A few new things in this release including two new datasets.
Install from Git or CRAN:
install.packages("survivoR")
devtools::install_github("doehm/survivoR")
As usual, if you find any issues, raise an issue on Git – survivoR issues
For non-R users, it’s free to download from Google Sheets.
News
- New seasons:
- US46
- New datasets added:
episode_summary– the summary of the episode from Wikipediachallenge_summary– a summarised version ofchallenge_resultsfor easy analysis
- New fields added:
- team on
challenge_results– identifying the team that the castaways were on during the challenge
- team on
Episode Summary
I have included the episode summary extracts from Wikipedia that detail the events of the episode. It usually includes pre-challenge events and discussions of strategy, challenge description and results, strategy discussions amongst the tribe heading to Tribal Council, and the result. It may be interesting for NLP type applications.
> episode_summary # A tibble: 647 × 4 version version_season episode episode_summary <chr> <chr> <dbl> <chr> 1 US US01 1 "The two tribes paddled their way to their respective beaches on a raft with meager supplies. Upon ar… 2 US US01 2 "Following their Tribal Council, Tagi found its fish traps still empty. Disappointed that Rudy was no… 3 US US01 3 "At the Tagi tribe, Stacey still wanted to get rid of Rudy and tried to create a girl alliance to do … 4 US US01 4 "At Pagong, Ramona started to feel better after having been sick and tried to begin pulling her weigh… 5 US US01 5 "At Tagi, Dirk and Sean were still trying to fish instead of helping around camp, but to no avail. Su… 6 US US01 6 "Both tribes were wondering what the merge was going to be like. Tagi was afraid due to their numeric… 7 US US01 7 "The day after Pagong voted Joel out, one person from each tribe went to the opposite tribe's camp an… 8 US US01 8 "At camp, the remaining members of the former Pagong tribe felt vulnerable because the Tagi tribe had… 9 US US01 9 "While Richard was catching fish, the other players began to realize that nobody voted him out becaus… 10 US US01 10 "Some people were happy that Jenna was voted out because she was getting on everyone's nerves. Everyo… # 637 more rows # Use `print(n = ...)` to see more rows
Challenge Summary
When I was making some charts for The Sanctuary and specifically the challenge score I realised it was quite difficult to summarise the challenge_results table to the different types of challenges e.g. individual immunity. There are a few edge cases where there are combined challenges e.g. Team / Individual Immunity and Reward challenges where a team will win reward and the last person standing on each team wins immunity. So there are 3 winning outcomes – reward only, immunity only, and immunity and reward for the last person standing.
To make it easier to summarise I created challenge_summary. It looks like this…
> challenge_summary # A tibble: 50,428 × 12 category version_season challenge_id challenge_type outcome_type tribe castaway_id castaway n_entities n_winners n_in_team won <chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <int> <int> <int> <dbl> 1 All US01 1 Immunity and Reward Tribal Pagong US0002 B.B. 2 1 8 1 2 All US01 1 Immunity and Reward Tribal Pagong US0004 Ramona 2 1 8 1 3 All US01 1 Immunity and Reward Tribal Pagong US0006 Joel 2 1 8 1 4 All US01 1 Immunity and Reward Tribal Pagong US0007 Gretchen 2 1 8 1 5 All US01 1 Immunity and Reward Tribal Pagong US0008 Greg 2 1 8 1 6 All US01 1 Immunity and Reward Tribal Pagong US0009 Jenna 2 1 8 1 7 All US01 1 Immunity and Reward Tribal Pagong US0010 Gervase 2 1 8 1 8 All US01 1 Immunity and Reward Tribal Pagong US0011 Colleen 2 1 8 1 9 All US01 1 Immunity and Reward Tribal Tagi US0001 Sonja 2 1 8 0 10 All US01 1 Immunity and Reward Tribal Tagi US0003 Stacey 2 1 8 0 # 50,418 more rows # Use `print(n = ...)` to see more rows
The other challenge datasets can be easily joined to this table. challenge_summary is not MECE, for example, the category contains ‘All’, ‘Individual’, ‘Individual Reward’, and ‘Individual Immunity’, to name a few. The results are counted separately for each category. You will need to filter for the right category before using the table.
Not every castaway is counted in every category. If they didn’t make it to the merge they didn’t compete in an individual challenge (except in some edge cases). Rather than their record being 0, they are not featured in that category. See Github for more details.
The post {survivoR} 2.3.3 is now available appeared first on Dan Oehm | Gradient Descending.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.