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B C D E F H Time Total 2 3 4 Q1 314.22 994.48 679.56 485.18 co ou 7 Q2 January February March April May
B C D E F H Time Total 2 3 4 Q1 314.22 994.48 679.56 485.18 co ou 7 Q2 January February March April May June July August September October November December LOCATION Vancouver, Canada 808.89 542.95 331.74 855.01 664.14|754.39 49.81 132.63 910.43 21.39 678.27269.20 350.87 273.02 268.75 851.83 417.92 80.29 703.36 869.20 54.84 717.67 960.11 382.43 523.91 174.93 995.48 949.03 130.95 247.81 377.33 624.93|400.01 369.73 900.33|442.79 Time Measurment 9 10 Q3 535.54 793.79 848.14 58.69 972.26 410.69 139.68 523.58 11 12 13 Q4 14 15 Item Total 16 Television Computer Phone Security Item Types 17 18 Write an R script to use Excel Spreadsheet data. Aggregate the data in Excel before importing it in R as an XYZ matrix. The last Z plane and the rightmost X plane are the aggregation. Separately rank-cube the aggregation by value not interval. What then are the top ranked? Upload your file. B C D E F H Time Total 2 3 4 Q1 314.22 994.48 679.56 485.18 co ou 7 Q2 January February March April May June July August September October November December LOCATION Vancouver, Canada 808.89 542.95 331.74 855.01 664.14|754.39 49.81 132.63 910.43 21.39 678.27269.20 350.87 273.02 268.75 851.83 417.92 80.29 703.36 869.20 54.84 717.67 960.11 382.43 523.91 174.93 995.48 949.03 130.95 247.81 377.33 624.93|400.01 369.73 900.33|442.79 Time Measurment 9 10 Q3 535.54 793.79 848.14 58.69 972.26 410.69 139.68 523.58 11 12 13 Q4 14 15 Item Total 16 Television Computer Phone Security Item Types 17 18 Write an R script to use Excel Spreadsheet data. Aggregate the data in Excel before importing it in R as an XYZ matrix. The last Z plane and the rightmost X plane are the aggregation. Separately rank-cube the aggregation by value not interval. What then are the top ranked? Upload your file
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