Problem 1: A data science team wants to analyze the performance of professional baseball teams against the economic indicators for the region where the team plays their home games. The researchers will be using MSA, or metropolitan statistical area, to identify each team’s region. They will use statistics about the top 20 industries in that MSA, as well as GDP per capita, in their first round of analysis, when they will only be looking at end-of-season results for each baseball team.
Use the ERD on page 5 of this document, with the context given above, to answer the questions below.
(A) Write a SQL query to show the full team name and the number of wins in the 2020 season for each team.
(B) Write a SQL query to add the GDP per capita for Charlotte in 2017, which was 58,064. Charlotte’s MSA ID is 16740.
(C) Write a SQL query to show the description of every MSA in the database, along with the league, division, and full team name of any teams within the MSA.
(D) Write a SQL query to create the TEAM table. Each team will have a three letter code that identifies them (examples: PIT, NYY), will be in one of two leagues (NL or AL are the only possible values), and will be in one of three divisions (East, West, and Central are the only possible values).
(E) Write a SQL query to show the average GDP per capita in Charlotte for the years 2010-2020.
(F) Write a SQL query to show the year, value, and industry for all industry earnings entries from Charlotte in 2019.
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