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Final Project

Final Project- Eddie SatterleyVideo game sales Data Cleansing Data Manipulation Data Science Models Data Visulization Video_Game_Sales.csvChanged User Scorefrom String toDouble so thatI could better replace the number with an averageFixed missing valueswithin the datasetI was going to do a moving average but there were too many touching rows with missing dataso the moving average did not work.Only show videogames who has ratingsGrouped Consolesbased on the count ofglobal salesGroup by Genre of videogames on count of North America SalesCreate Colors forconsolesDisplay count of globalsales by console with scatter plotData Explorer75/25% randomly75/25% with stratified sampling on rating User Score CSV Reader String To Number Missing Value Row Filter GroupBy GroupBy Color Manager Scatter Plot(local) Data Explorer Partitioning Partitioning DecisionTree Learner Decision TreePredictor Scorer (JavaScript) Numeric Scorer RegressionPredictor Linear RegressionLearner Final Project- Eddie SatterleyVideo game sales Data Cleansing Data Manipulation Data Science Models Data Visulization Video_Game_Sales.csvChanged User Scorefrom String toDouble so thatI could better replace the number with an averageFixed missing valueswithin the datasetI was going to do a moving average but there were too many touching rows with missing dataso the moving average did not work.Only show videogames who has ratingsGrouped Consolesbased on the count ofglobal salesGroup by Genre of videogames on count of North America SalesCreate Colors forconsolesDisplay count of globalsales by console with scatter plotData Explorer75/25% randomly75/25% with stratified sampling on rating User ScoreCSV Reader String To Number Missing Value Row Filter GroupBy GroupBy Color Manager Scatter Plot(local) Data Explorer Partitioning Partitioning DecisionTree Learner Decision TreePredictor Scorer (JavaScript) Numeric Scorer RegressionPredictor Linear RegressionLearner

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Created by: eddie
Created at: 2022-04-08
On NodePit since: 2022-04-19
Last update: 2024-05-01
Created with KNIME version: v4.5.0

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