Analysis of setter choices. See this article for background and an outline of the method. Contact: .
Upload a file and it will be added to the datasets list.
- new app! Treat the outputs with caution.
The black line shows the observed performance, and the orange line shows the simulated (optimal) performance. The orange band gives the 95% range across the simulations.
Your uploaded files are processed and combined into a working data set. The output from the processing script and summaries of the data set are shown in this section. It is worth checking this log to make sure the processing went OK.
In particular, you will want to ensure that the team_id and player_id values are consistent across different data files. The team_id and player_id values are used to uniquely identify each team and player, and so if a player has different identifiers in different files, the app will think that these are different players.
The output from the processing script is shown below. It is worth checking this log to make sure the processing went OK.
The list of team names and team_id values. If a team appears more than once, it likely has different team_id values in different files.
A summary of the matches in this data set. This might help find duplicate or missing matches.
The list of player names and player_id values. If a player appears more than once, they likely have different player_id values in different files.
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The results will be logged to help improve the app. Your DataVolley or VBStats files (if uploaded) will not be kept.
See this article for an outline of the method.
The example data file was kindly provided by Mark Lebedew.
Version: , using datavolley version 0.15.6