What is the percentage change in Cubic Mission Solutions in 2019 from 2018?
{"Company-Sponsored Research and Development Expense: -- Cubic Transportation Systems": {"2019": 10948, "2018": 13394, "2017": 26308}, "Company-Sponsored Research and Development Expense: -- Cubic Mission Solutions": {"2019": 27111, "2018": 22745, "2017": 11949}, "Company-Sponsored Research and Development Expense: -- Cubic Global Defense": {"2019": 10573, "2018": 16259, "2017": 14395}, "Company-Sponsored Research and Development Expense: -- Unallocated corporate expenses": {"2019": 1500, "2018": "\u2014", "2017": "\u2014"}, "Company-Sponsored Research and Development Expense: -- Total company-sponsored research and development expense": {"2019": 50132, "2018": 52398, "2017": 52652}}
cubic_mission_solutions_2019 = df["Company-Sponsored Research and Development Expense: -- Cubic Mission Solutions"]["2019"]
cubic_mission_solutions_2018 = df["Company-Sponsored Research and Development Expense: -- Cubic Mission Solutions"]["2018"]
answer = ( cubic_mission_solutions_2019 - cubic_mission_solutions_2018 ) / cubic_mission_solutions_2018 * 100.0