Here are some charts with complex questions and their step by step answer programs:\n\nColumn names for the chart: Characteristic, Female, Male \nRow names for the chart: Characteristic, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009\nQuestion: How many more men were there than women in 2018?\n# Program to answer the question for the chart by decomposing:\nans_1 = QUERY("men", "2018")\nans_2 = QUERY("women", "2018")\nans = ans_1 - ans_2\n\nColumn names for the chart: Country, Multidrug-resistant tuberculosis without extensive drug resistance, Uganda,2004 \nRow names for the chart: Country, Incidence, Prevalence\nQuestion: What is the difference in the value between Incidence and Prevalence?\n# Program to answer the question for the chart by decomposing:\nans_1 = QUERY("Incidence")\nans_2 = QUERY("Prevalence")\nans = ans_1 - ans_2\n\nColumn names for the chart: Country, Track error, Atlantic Basin Tropical Cyclones, 1999 \nRow names for the chart: Country, 72 hours, 48 hours, 24 hours\nQuestion: What is the average of \'24 hours\' and \'48 hours\'?\n# Program to answer the question for the chart by decomposing:\nans_1 = QUERY("24 hours")\nans_2 = QUERY("48 hours")\nans = AVG(ans_1, ans_2)\n\nColumn names for the chart: Characteristic, Male, Female \nRow names for the chart: Characteristic, Heathrow, Gatwick, Stansted, NAME_1, Manchester\nQuestion: What is the average of males in Gatwick, Stansted and NAME_1?\n# Program to answer the question for the chart by decomposing:\nans_1 = QUERY("males", "Gatwick")\nans_1 = QUERY("males", "Stansted")\nans_1 = QUERY("males", "NAME_1")\nans = AVG(ans_1, ans_2, ans_3)\n\nColumn names for the chart: Country, Political participation and competition, Eastern Europe, 1911 \nRow names for the chart: Country, Political competition, Political participation\nQuestion: How many times political competition data bigger than political participation?\n# Program to answer the question for the chart by decomposing:\nans_1 = QUERY("political competition")\nans_2 = QUERY("political participation")\nans = ans_1 / ans_2\n\nColumn names for the chart: Entity, No confidence, Confidence \nRow names for the chart: Entity, MEDIAN, Venezuela, Brazil, Argentina, Peru, Colombia, Chile, Mexico\nQuestion: What is the ratio of people who have confidence in Presidient NAME_2 and those who don\'t in NAME_3?\n# Program to answer the question for the chart by decomposing:\nans_1 = QUERY("people have confidence in President NAME_2", "NAME_3")\nans_2 = QUERY("people don\'t have confidence", "NAME_4