Aggregating Play-by-Play Sports Data into Match Stats

Converting a pandas dataframe of play-by-play data into:

1) aggregated match stats dataframe at a user-defined time interval (e.g. 5 min, half-time. full-time)

2) a dataframe showing team ranks across game attributes for each round (e.g. Team A ranks 1st for game attribute X in round i but ranks 10th for season-to-date)

3) a dataframe that produces the same output as point (1) above, but for players segregated by playing position

4) a dataframe that mirrors point (2) above but for players, segregated by playing position.

I will provide:

- raw data in .csv format

- legend to convert play-by-play codes into game attributes. (e.g. 'Tackles' = gamecode [url removed, login to view]())

- example file output 'look and feel'

Python 3 required. PEP 8 compliant etc etc.

Habilidades: Processamento de dados, Python, Arquitetura de software

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Acerca do Empregador:
( 1 comentário ) Sydney, Australia

ID do Projeto: #15972534

Concedido a:

$166 AUD em 5 dias
(75 Comentários)

7 freelancers estão ofertando em média $133 para esse trabalho


hi. i used pandas before, but not an expert with it. i'm interested in getting more experience with it. your task sounds easy enough for me to do. i have overall 7+ years of experience in software dev, i am sure i wi Mais

$100 AUD in 3 dias
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I am a deep learning engineer and Data Scientis, I have experience in computer vision , NLP , and voice recognition . and this is an easy task for me. pls have a look on my linkedIn: [login to view URL] Mais

$155 AUD in 3 dias
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Have expertise in working with pandas library and will provide you with easy to understand as per the mentioned style code.

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