nflfastR | Efficiently Scrape NFL Play by Play Data | Analytics library

 by   nflverse R Version: v4.5.1 License: Non-SPDX

X-RayKey FeaturesCode SnippetsCommunity Discussions(2)VulnerabilitiesInstallSupport

kandi X-RAY | nflfastR Summary

kandi X-RAY | nflfastR Summary

nflfastR is a R library typically used in Analytics applications. nflfastR has no bugs, it has no vulnerabilities and it has low support. However nflfastR has a Non-SPDX License. You can download it from GitHub.

nflfastR uses its own models for Expected Points, Win Probability, Completion Probability, and Expected Yards After the Catch. To read about the models, please see this post on Open Source Football. For a more detailed description of the motivation for Expected Points models, we highly recommend this paper from the nflscrapR team located here. Here is a visualization of the Expected Points model by down and yardline. Here is a visualization of the Completion Probability model by air yards and pass direction. nflfastR includes two win probability models: one with and one without incorporating the pre-game spread.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              nflfastR has a low active ecosystem.
              It has 301 star(s) with 43 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 18 open issues and 208 have been closed. On average issues are closed in 23 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nflfastR is v4.5.1

            kandi-Quality Quality

              nflfastR has no bugs reported.

            kandi-Security Security

              nflfastR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              nflfastR has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              nflfastR releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of nflfastR
            Get all kandi verified functions for this library.

            nflfastR Key Features

            No Key Features are available at this moment for nflfastR.

            nflfastR Examples and Code Snippets

            No Code Snippets are available at this moment for nflfastR.

            Community Discussions

            Trending Discussions on nflfastR

            Trouble reading multiple rds files at the same time and saving them to a single data frame
            How to read a (.RDS) file from a URL in python?

            QUESTION

            Trouble reading multiple rds files at the same time and saving them to a single data frame
            Asked 2021-Jan-11 at 00:41

            I have a for loop set up for some rds files and I need to find a way to read said files. I could manually merge them with rbind as well, but it would be preferable if I could have them already together.

            ...

            ANSWER

            Answered 2021-Jan-11 at 00:41

            You have a couple of issues here. First, an apply function such as lapply will work better than a loop. Second, you cannot read RDS directly from a github URL - you need to specify a connection using url.

            So you can read into a list of data frames like this:

            Source https://stackoverflow.com/questions/65659767

            QUESTION

            How to read a (.RDS) file from a URL in python?
            Asked 2020-Nov-14 at 16:14

            So I am trying to get data from NFLfastR and my R equivalent code is:

            ...

            ANSWER

            Answered 2020-Nov-14 at 14:02

            Rds and Rdata files are difficult to read in other languages than R as the format although open is undocumented. Therefore there are not many options on how to read them in python. One is what you propose. Another is to use pyreadr, but you have to download the file to disk first as pyreadr cannot read directly from an url:

            Source https://stackoverflow.com/questions/64178038

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install nflfastR

            The easiest way to get nflfastR is to install it from CRAN with:.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Reuse Trending Solutions

            build-a-realtime-voice-to-image-generator-using-generative-ai
            build-a-realtime-voice-to-image-generator-using-generative-ai
            Build a Realtime Voice-to-Image Generator using Generative AI
            image-resizing-using-opencv-in-python
            image-resizing-using-opencv-in-python
            Image Resizing using OpenCV in Python
            build-your-own-gpt4all-content-generator
            build-your-own-gpt4all-content-generator
            Build your own Custom GPT Content Generator (Open-Source ChatGPT Alternative)
            validate-an-email-address-in-javascript
            validate-an-email-address-in-javascript
            How to Validate an Email Address in JavaScript
            age-calculator-using-javascript
            age-calculator-using-javascript
            Age Calculator using JavaScript
            addressing-bias-in-ai---toolkit-for-fairness,-explainability-and-privacy
            addressing-bias-in-ai---toolkit-for-fairness,-explainability-and-privacy
            Addressing Bias in AI - Toolkit for Fairness, Explainability and Privacy
            javascript-node-js-payment-processing
            javascript-node-js-payment-processing
            15 best JavaScript Node.js Payment libraries
            build-credit-risk-predictor-using-federated-learning
            build-credit-risk-predictor-using-federated-learning
            Build Credit Risk predictor using Federated Learning
            top-10-javascript-tours-and-guides-libraries-in-2023
            top-10-javascript-tours-and-guides-libraries-in-2023
            10 Best JavaScript Tours and Guides Libraries in 2023
            disease-predictor
            disease-predictor
            Disease Predictor using Pandas & Scikit
            python-face-recognition
            python-face-recognition
            28 best Python Face Recognition libraries

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/nflverse/nflfastR.git

          • CLI

            gh repo clone nflverse/nflfastR

          • sshUrl

            git@github.com:nflverse/nflfastR.git

            • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Open Weaver – Develop Applications Faster with Open Source

            kandi

            Community and Support

            Company

            Follow

            • © 2023 Open Weaver Inc.