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The CyberSquad ordered too many Cryoxide cans for the shop, and they try to understand where they went wrong. After they obtain historical sales data, they identify patterns in the data and predict the number of cans that they need to order each day of the week to prevent having a surplus.
Slider finds Cyroxide receipts for the month of July from the previous year, and the CyberSquad writes down on a calendar how many Cyroxide cans were sold on each day. Excluding an outlier, a holiday, they find a pattern for each week: an average of 30 cans are sold on weekdays, and an average of 60 cans are sold on weekends. They use the pattern they've identified to accurately place an order for the next six days of business.
In this clip, In case to find out the identity of the hostage, Charlie ran a match analysis between artistic pieces of several missing artists and the work seen in the counterfeit money
Charlie realizes that the reason he is having trouble finding a suspect is because he is getting bad information. He explains how bad or corrupt data can skew the results and make it impossible to find a correct formula to find a suspect
Charlie explains how he would use a logistical regression analysis and data to predict the likelihood of a person committing murder.