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1. data preprocess

Data ReadingRead the 'West_Nile_Virus.csv' data set file. Ithas following attributes:1.SEASON2. YEAR 3. WEEK 4. TEST ID5. BLOCK 6. TRAP 7. TRAP_TYPE 8. TEST DATE 9. NUMBER OF MOSQUITOES 10. RESULT 11. SPECIES 12. LATITUDE 13. LONGITUDE 14. LOCATION Descriptive Statistics Calculate the statisticalproperties of the data setattributes. Data Preprocessing1. Remove Unnecessary Columns2. Encode Categorical Attributes3. Handle Missing Values Interactive TableDisplay table of the entire data New FileCreate new dataset Data PreprocessingThis workflow preprocesses the data. It prepares it for further Regression and ClassificationAnalysis which is used for Prediction.Task: Give Insights into the West Nile Virus Dataset and Prepare Dataset for Prediction. Reading West_Nile_Virus.csvShow entire data as tableStats and exploratoryhistograms in ViewNode 12Node 13Node 19Node 20write into a westnilevirus.csv File Reader InteractiveTable (local) Statistics Column Filter Missing Value Rule Engine Rule Engine CSV Writer Data ReadingRead the 'West_Nile_Virus.csv' data set file. Ithas following attributes:1.SEASON2. YEAR 3. WEEK 4. TEST ID5. BLOCK 6. TRAP 7. TRAP_TYPE 8. TEST DATE 9. NUMBER OF MOSQUITOES 10. RESULT 11. SPECIES 12. LATITUDE 13. LONGITUDE 14. LOCATION Descriptive Statistics Calculate the statisticalproperties of the data setattributes. Data Preprocessing1. Remove Unnecessary Columns2. Encode Categorical Attributes3. Handle Missing Values Interactive TableDisplay table of the entire data New FileCreate new dataset Data PreprocessingThis workflow preprocesses the data. It prepares it for further Regression and ClassificationAnalysis which is used for Prediction.Task: Give Insights into the West Nile Virus Dataset and Prepare Dataset for Prediction. Reading West_Nile_Virus.csvShow entire data as tableStats and exploratoryhistograms in ViewNode 12Node 13Node 19Node 20write into a westnilevirus.csv File Reader InteractiveTable (local) Statistics Column Filter Missing Value Rule Engine Rule Engine CSV Writer

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