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20230511 Pikairos JustKNIMEIt Season 2 Challenge 7 Mapping Successful Football Passes

By visually analyzing successfully completed passes from football match data, it is possible to obtain valuable information about a team's performance. This can in turn be used by coaches and team managers to make informed decisions about how to improve their game. In this challenge, your task is to generate a visualization that adequately showcases the starting positions of successful passes made by the players of Manchester City team. To this end, you will use data that includes both starting (x and y) and ending (endX and endY) positions of various types of passes made during a football match between Manchester City and Manchester United.

https://fcpython.com/visualisation/drawing-pass-map-python Challenge 07: Mapping Successful Football PassesDescription: By visually analyzing successfully completed passes from football match data, it is possibleto obtain valuable information about a team's performance. This can in turn be used by coaches andteam managers to make informed decisions about how to improve their game. In this challenge, yourtask is to generate a visualization that adequately showcases the starting positions of successfulpasses made by the players of Manchester City team. To this end, you will use data that includes bothstarting (x and y) and ending (endX and endY) positions of various types of passes made during afootball match between Manchester City and Manchester United. You can find the video in the data folder of this workflow as a zip. ManCityvsManUnitedTop Port Contains:ManchesterCityPassSuccessfulFootballPass MapFilter OutUnwantedColumnsCalculatex coordinatesCalculatey coordinatesOne Row PerLoop to Generatean Image Per PassConvert Imageto TableCollectAll ImagesConverts PNGImage toImgPlusTransposeRows into ColumnsFootballPass MapMerge ImagesFrom DifferentColumns intoOne ImageObjectWrite Imagein .movFormatCompress.mov FileEdit Variableof MovieFile NameConvert File Nameto Path FormatDeleteNon-CompressedVersion of FileShow ifOriginal Movie FileWas Correctly Deleted CSV Reader Rule-basedRow Splitter Python View Column Filter Math Formula(Multi Column) Math Formula(Multi Column) Chunk Loop Start Image To Table Loop End PNG Imageto ImgPlus Transpose Python View Merger Image Writer CompressFiles/Folder String Manipulation(Variable) String to Path(Variable) DeleteFiles/Folders InteractiveTable (local) https://fcpython.com/visualisation/drawing-pass-map-python Challenge 07: Mapping Successful Football PassesDescription: By visually analyzing successfully completed passes from football match data, it is possibleto obtain valuable information about a team's performance. This can in turn be used by coaches andteam managers to make informed decisions about how to improve their game. In this challenge, yourtask is to generate a visualization that adequately showcases the starting positions of successfulpasses made by the players of Manchester City team. To this end, you will use data that includes bothstarting (x and y) and ending (endX and endY) positions of various types of passes made during afootball match between Manchester City and Manchester United. You can find the video in the data folder of this workflow as a zip. ManCityvsManUnitedTop Port Contains:ManchesterCityPassSuccessfulFootballPass MapFilter OutUnwantedColumnsCalculatex coordinatesCalculatey coordinatesOne Row PerLoop to Generatean Image Per PassConvert Imageto TableCollectAll ImagesConverts PNGImage toImgPlusTransposeRows into ColumnsFootballPass MapMerge ImagesFrom DifferentColumns intoOne ImageObjectWrite Imagein .movFormatCompress.mov FileEdit Variableof MovieFile NameConvert File Nameto Path FormatDeleteNon-CompressedVersion of FileShow ifOriginal Movie FileWas Correctly Deleted CSV Reader Rule-basedRow Splitter Python View Column Filter Math Formula(Multi Column) Math Formula(Multi Column) Chunk Loop Start Image To Table Loop End PNG Imageto ImgPlus Transpose Python View Merger Image Writer CompressFiles/Folder String Manipulation(Variable) String to Path(Variable) DeleteFiles/Folders InteractiveTable (local)

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Created by: LAMBERT
Created at: 2023-05-11
On NodePit since: 2023-05-12
Last update: 2024-12-17
Created with KNIME version: v4.7.2
Tags: JKISeason2-7Python ViewPNG Image to ImgPlusMergerImage Writer

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