A E PivotTable Fields 1 Bicycle Store Sales Chooe felds ta addteept 3 Year Sech Category 2020 Components Chains 2018 Clothing 2018 Clothing 2019 Clothing 2019 Clothing 2021 Components Handlebars 2018...

Extracted text: A E PivotTable Fields 1 Bicycle Store Sales Chooe felds ta addteept 3 Year Sech Category 2020 Components Chains 2018 Clothing 2018 Clothing 2019 Clothing 2019 Clothing 2021 Components Handlebars 2018 Clothing 2019 Components Brakes 2020 Bikes Product Sales Rating 75% 22% 4. OYeer cegeny Product OSales ing $20,000 $ 3,700 $ 4,000 $13,300 $36,000 $ 2,300 $ 2,300 $ 3,400 $ 6,300 $ 5,400 $17,000 $21,600 $29,800 2020 Components Bottom Brackets $ 1,000 Socks Bib-Shorts 22% Shorts 56% 100% 35% 28% 8. Tights Dreg fieids betneen 6. ECu 10 Socks 1 36% 12 Mountain Bikes 40% 13 2020 Components Brakes 38% 14 2020 Accessories Helmets 90% IVelu 2021 Accessories ughts 2019 Accessories Locks 15 90% 16 90% 17 23% 18. Based on the Bicycle Store dataset above, make a pivot table that shows the minimum Ranking of Category by year. Make it so it can be filtered by the type of Product. Complete the yellow cells in the Pivot Table Fields table below to make this happen. Filters Columns Rows Values