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I wanted a space to throw all my tables and charts made using the {survivoR} R package into, so I started The Sanctuary (built with Quarto, of course). It has interactive tables about the castaways, challenges, voting history, confessionals, episode details, and a bunch more.
While there is a lot of data out there about Survivor it’s rarely all in one place. This provides a view of castaways across seasons and various stats. There won’t be a lot of explanation or in-depth analysis, just a truckload of data, tables, and charts to explore. Longer form posts will remain on the blog.
The Sanctuary is updated regularly during seasons and whenever new data hits Git. It’s the companion for the {survivoR} package.
Examples
I won’t share too much here, I’ll let you explore for yourself, but here is an idea of what you can find.
Tribal Council Success: Top 10 Castaways
The score is a measure of how many Tribal Councils they survived, the difficulty of surviving the vote (e.g surviving a Tribal with 4 people is harder than surviving one with 12), and how many votes they copped. Denise, Sandra, and Stephanie take out the top 3 spots.
Individual Immunity Wins: Top 10 Castaways
The challenge score is a measure of challenge success. For individual immunity challenges Ozzy takes out the top spot followed by Brad Culpepper in season 34 Games Changers and Mike Holloway in Season 30 Worlds Apart.
Season IMDb ratings: Top 10 highest rated seasons
The highest rated season based on IMDb ratings is season 31 Cambodia, the second chance season, followed by season 40 Winners at War and Season 20 Heroes vs Villains. The top 3 are all returnee seasons. The 4th highest rated season is season 7 Pearl Islands, which is also the highest rated all newbie season.
Confessionals: Top 10 castaways with the most confessionals
Russell Hantz still holds the most number of coveralls in a season, which is going to be hard to beat. The next two are Rob Cesternino and Colby Donaldson to round out the top 3.
Anyway, expect more things as time goes on.
The post The Sanctuary: Stats and data from {survivoR} appeared first on Dan Oehm | Gradient Descending.
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Continue reading: The Sanctuary: Stats and data from {survivoR}
The Sanctuary: A Comprehensive Platform for Survivor Data
The Sanctuary, an innovative data project developed by Dan Oehm on his blog Gradient Descending, offers a well-structured platform for Survivor data. Collated using the {survivoR} R package, it features interactive tables covering all facets of the popular TV show- the castaways, challenges, voting history, confessionals, and episode details. This post will delve into the potential long-term benefits of this project and suggest how the platform can be expanded strategically.
The Potential of The Sanctuary: Long-term Implications
The Sanctuary has already streamlined the available Survivor data into one platform, removing the hassles of sourcing from scattered sources. This consolidation not only aids data enthusiasts but also offers intriguing insights to fans of the show. However, the implications extend over a much broader spectrum.
- Academic and Market Research: Researchers can use the bundle of data available on The Sanctuary to conduct studies on behavioral patterns, decision-making processes, game strategy, and viewer preferences. Such insights could be valuable for psychologists, economists, marketing professionals, sociologists, and others.
- Data Science and Analytics learning: The platform’s diverse, well-structured, real-time data can provide excellent material for individuals looking to hone their skills in R programming, data analysis, and visualization.
- Benchmarking for similar shows: Other reality shows can compare their data with the analyzed statistics from Survivor, helping them understand viewer patterns, engagement, and reception.
Recommended Future Developments
With the current potential in place, future enhancements and developments could take The Sanctuary to greater heights.
- Enriched Data Analysis: In its current form, The Sanctuary primarily provides consolidated data tables and charts without detailed explanation or in-depth analysis. More comprehensive analysis and interpretations would add immense value.
- Participation from the public: Integrating collaborative tools could allow the audience to participate in the data analysis process. It’ll enhance user engagement and provide interesting perspectives.
- Integration with other R packages: The use of other R packages and tools can enrich the data visualization and analysis, advancing the platform’s appeal not only to Survivor enthusiasts but to data science professionals and learners as well.
When these future developments are taken into consideration, The Sanctuary promises to evolve from a consolidated data warehouse into a comprehensive analytical and learning tool.
Action Steps
To fully leverage the potential of The Sanctuary, here is a broad course of action:
- Invest in adding analytical interpretation to the data output.
- Explore options for integrating user engagement tools.
- Identify and incorporate additional R packages that can add value.
- Publicize The Sanctuary as a learning tool and research resource.
The Sanctuary, thanks to the use of the {survivoR} R package and the efforts of its developer, is a significant stride towards harnessing data in the entertainment industry. With strategic advancements, it can be a vital resource for multiple stakeholders.