About: Challenge Data Wrangler

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An Entity of Type : dbkwik:resource/ZwE4O3utshWv1Qc47xdU6Q==, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

Attributes	Values
rdf:type	Software
rdfs:label	Challenge Data Wrangler
webname	GitHub
dcterms:subject	Extensions, Add-Ons, and Customizations Challenges
foaf:homepage	https://github.com/DC23/habitica-challenge-wrangler
dbkwik:habitica/pr...iPageUsesTemplate	dbkwik:resource/rsZvhb4RiUl-4VMxO4Dmug==
Platform	Python
Name	Challenge Wrangler
latest release version	2(xsd:integer)
api	3(xsd:integer)
License	Apache v2
screenshot size	500(xsd:integer)
latest release date	2016-09-28(xsd:date)
Description	Tired of manually crunching through the challenge CSV data to pick the winner? The Habitica Challenge Wrangler to the rescue! It is a data analysis tool for quickly selecting a Challenge winner. It treats the challenge like a multi-event sporting competition where the winner is the participant with the highest average place across all tasks. Tie-breaks are supported in the event of a tie for first place. It is implemented in Python so it will run on all major operating systems.
Screenshot	File:Habitica_challenge_wrangler.PNG
Website	dbkwik:resource/DIaEuXzgBDfQsc45EQ5AuA==
Developer	dbkwik:resource/jd8BZMLpFYzfnOcq6eQUnA==
Usage	First, download your Habitica challenge CSV data from the Habitica website, then execute the pick-winner script, passing the downloaded CSV file name as a command line argument: pick-winner -f my_challenge_data.csv By default, the leaderboard showing the top 10 participants is displayed. The number of participants to display can be specified with a command line argument: pick-winner -f my_challenge_data.csv --leaderboard-rows 5 Finally, the intermediate data products can optionally be written to a spreadsheet with the to-excel command: pick-winner --input-file my_challenge_data.csv --to-excel This will create a single spreadsheet with multiple work sheets. The sheets are described in detail in the project Readme file, available from the GitHub site.
install	Install with pip: pip install habitica-challenge-wrangler Full installation instructions on GitHub

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