Our starting lineup and why small sample sizes are deceptive.

• NBA_Tutorials

  5 151 0.0 Python

  Tutorials for processing nba data

The below (text between the horizontal rules) are excerpts from [this](https://www.theringer.com/2023/4/13/23681148/2023-nba-playoff-preview-how-to-use-and-not-use-lineup-data) really great explainer, which was published in April 2023, about the pitfalls of NBA lineup data in small sample sizes. It also serves as an explanation for why data scientist [Andrew Patton](https://www.andrewpatton.org) created the tool ["Should I use this Rating?" ](https://apanalytics.shinyapps.io/should_I_use_this_rating/) (which includes the Warriors starting 5's ORTG, DRTG, and possessions played plugged into it) from which the screenshot in this post was taken. All of the code for the tool as well as an extremely detailed and in depth breakdown of how the tool works and why can be found [here](https://github.com/rd11490/NBA_Tutorials/tree/master/five_man_net_rating).

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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