6 4 points Consider the following snippet of a sales order table: Order number Product Month Customer 830178 Infinity January Golfv'us 810793 Infinity January Kanga Kampers 812050 Infinity January Golfsus 812570 Infinity January Kanga Kampen 811184 Kodiak February Kanga Kampers 811184 Legend February Kanga Kampers 10015 Infinity March 10430 Infinity March 810836 Infinity March 811365 Legend March Order sue Country or Region City 1-5.000 Belgium 1-5.000 Australia 1-5,000 Belgium 1-5,000 Australia 1-5,000 Australia Deder Revenue Order Chuantity unit price Order date Ship date 229.6 1/11/2007 1/15/2007 Leuven 1,607.20 7 Sydney 1,494.00 6 249 1/19/2007 1/22/2007 Zaventem 2.354.80 13 2296 1/16/2007 1/18/2007 NewCastle 1,245.00 S 249 1/9/2007 1/11/2007 Sydney 1.362.00 10 1362 2/15/2007 2/15/2007 1-5,000 <1,000 Australia United States Sydney 1.151.00 5 270.2 2/15/2007 2/15/2007 New York 508 2 254 1/1/2007 3/12/2007 Outdoor Fachgeschft Muller 1-5,000 Grand choix Falcon Outfitters Austria 1,000 France 1-5,000 Canada 3,018.00 12 2515 3/5/2007 3/3/2007 762 1 254 1/16/2007 3/15/2007 9 249 The Marketplace Terit Par Montral 2,241.00 3/9/2007 3/12/2007 List two (2) descriptive analytics that could be generated to provide insights regarding the above sales order data. BIUA AIEEE12pt 7 2 points . Paragraph A retailer of fashion clothing and accessories with locations in multiple US states would like to know why year-over-year sales of certain apparel has increased in some locations and decreased in other locations. What kind of analytics approach would be used for this purpose