Illustrate in tableau the dependence of nations' public health indicators on their actual share of GDP, for each year of available data. Use the group names of the nations according to: a) high income; (b) upper middle income; (c) lower middle income; and (d) low income to reveal any biases in the measurement of actual GDP. The file used as data source contains 1 row and 28 columns. The row name is (1) Country name; and the column names in a table are: (1) year; (2) Population of children under the age of 1; (3) Population of children under the age of 5; (4) Population of children under the age of 15; (5) Population under the age of 25; (6) Population aged 15 to 64 years; (7) Population older than 15 years; (8) Population older than 18 years; (9) Population at age 1; (10) Population aged 1 to 4 years; (11) Population aged 5 to 9 years; (12) Population aged 10 to 14 years; (13) Population aged 15 to 19 years; (14) Population aged 20 to 29 years; (15) Population aged 30 to 39 years; (16) Population aged 40 to 49 years; (17) Population aged 50 to 59 years; (18) Population aged 60 to 69 years; (19) Population aged 70 to 79 years; (20) Population aged 80 to 89 years; (21) Population aged 90 to 99 years; (22) Population older than 100 years; (23) Observation value - Unit_of_measure: Deaths per 100 live births - Indicator: Under-five mortality rate - Sex: Both sexes - Wealth_quintile: All wealth quintiles; (24) Period life expectancy at birth - Sex: all - Age: 0; (25) Maternal Mortality Ratio (Gapminder (2010) and World Bank (2015)); (26) GDP (output, multiple price benchmarks) (27) Domestic general government health expenditure (% of current health expenditure); (28) Indicator:Current health expenditure (CHE) as percentage of gross domestic product (GDP) (%).

By illustrating, I mean indicate what field names go into specific sections in tableau such as row, column, pages, filters, marks (color, size, tooltip, path), parameters, etc. You can have a calculated field too if you want, but please indicate the formula. Thank you.