What is the change in the adjusted EBITDA under Wholesale in 2019 from 2018?
{"Adjusted EBITDA -- International and Global Accounts": {"2019": 2286, "2018": 2341, "2017": 821}, "Adjusted EBITDA -- Enterprise": {"2019": 3490, "2018": 3522, "2017": 2456}, "Adjusted EBITDA -- Small and Medium Business": {"2019": 1870, "2018": 2013, "2017": 1581}, "Adjusted EBITDA -- Wholesale": {"2019": 3427, "2018": 3666, "2017": 2566}, "Adjusted EBITDA -- Consumer": {"2019": 4914, "2018": 5105, "2017": 5136}, "Adjusted EBITDA -- Total segment EBITDA": {"2019": 15987, "2018": 16647, "2017": 12560}, "Adjusted EBITDA -- Operations and Other EBITDA": {"2019": -7216, "2018": -8045, "2017": -6504}, "Adjusted EBITDA -- Total adjusted EBITDA": {"2019": 8771, "2018": 8602, "2017": 6056}}
adjusted_ebitda_wholesale_2019 = df["Adjusted EBITDA -- Wholesale"]["2019"]
adjusted_ebitda_wholesale_2018 = df["Adjusted EBITDA -- Wholesale"]["2018"]
answer = adjusted_ebitda_wholesale_2019 - adjusted_ebitda_wholesale_2018