Question: using python help me solve these exercises: Note the output for exercise 1,2 and 3 is provided i need the code that gives those outputs

using python help me solve these exercises: Note the output for exercise 1,2 and 3 is provided i need the code that gives those outputs

using python help me solve these exercises: Note the output for exercise

GBI.xlsl this is the data file

EAR MONTH DAY Customer CustomerDescr City Salesorg Country OrderNumber OrderItem Product ProductDescr Product Category Division SalesQuantity UnitOfMeasure Revenue Currency Discount CostOfGoodsManufactured Revenue USD Discount USD Cogm USD
2007 1 1 5000 Beantown Bikes Boston UE00 US 100001 10 DXTR2000 Deluxe Touring Bike (silver) TOU BI 2 ST 6000 USD 300 2800 6000 300 2800
2007 1 1 5000 Beantown Bikes Boston UE00 US 100001 20 PRTR2000 Professional Touring Bike (silver) TOU BI 5 ST 16000 USD 800 7500 16000 800 7500
2007 1 1 5000 Beantown Bikes Boston UE00 US 100001 30 ORMN1000 Men's Off Road Bike Fully ORB BI 1 ST 2400 USD 120 1200 2400 120 1200

# Now let's work with the GBI Excel sheet -- if you have done the Io Lab, the # Otherwise, please go to canvas and find the file under the IO Lab, download # GBI 1 # Question 6: What is the average REVENUE for each Product Category? [HINT: Y HINT: You need to group by Product Category] Out[31]: Product Category ACC 108.261038 EBI 8610.636888 ORB 7796.678130 ROB 8313.303493 TOU 8299.358516 TRE 1481.536454 Name: Revenue, dtype: float64 2 # Question 7: How many transations have the lowest revenue? Out[41]: 3 DNOO 1 4 YEAR MONTH DAY Customer CustomerDescr City Salesorg Country Order 107 2007 1 24000 Velodrom Magdeburg DE 125 2007 15000 Bavaria Bikes Mnchen DSOO DE 132 2007 4 23000 Red Light Bikes Hamburg DNDO DE 226 2007 1 6 24000 Velodrom Magdeburg DNOO DE 350 2007 1 15 18000 Drahtesel Leipzig DNOO DE 78 rows x 23 columns 1 3 # Question 8: What is the average revenue for each year? Out[44]: YEAR 2007 4999.140553 2008 5129.561252 2009 4830.588585 2010 4983.660594 2011 5183.147895 Name: Revenue. dtvpe: float64 4 # Question 9: How many unique product names are there? # HINT: 1. ProductDecr has all product names # 2. unique() returns an ARRAY # 3. numpy has a size function that returns the size of an array. Check the web and learn how to use

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