Data will be read from a CSV (comma-separated values) file called Economic_Data 2010.txt. This file has not header record, so you may read it as a plain text file and split the line to separate the individual values. Each row in the file contains the following information on each state in the United States from 2010. Values are separated by commas.: 1) State 2) Region (defined by the Bureau of Economic Analysis) 3) Population (in millions). The total number of people living in the state. 4) GDP (in billions). Measure of the state's economic activity, a higher GDP means higher monetary value for goods and services within the state's boarder. 5) Personal Income (in billions). All incomes received by individuals and households. 6) Subsidies (in millions). Money granted by the state's government to help an industry or business. 7) Compensation of Employees (in billions). Pre-taxed wages paid by employers to employees. 8) Taxes on Production and Imports (in billions). Taxes chargeable to business expenses of producing and importing Note that Python uses zero-based indexing, meaning that when data is put in a list the first value (State) will be found at the 0th index of the list