Inspect the six CSV files and sketch out an ERD of the tables.
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Create a table schema for each of the six CSV files, specifying data types, primary keys, foreign keys, and other constraints.
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Import each CSV file into the corresponding SQL table.
Once you have a complete database, do the following:
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List the following details of each employee: employee number, last name, first name, gender, and salary.
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List employees who were hired in 1986.
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List the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name, and start and end employment dates.
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List the department of each employee with the following information: employee number, last name, first name, and department name.
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List all employees whose first name is "Hercules" and last names begin with "B."
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List all employees in the Sales department, including their employee number, last name, first name, and department name.
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List all employees in the Sales and Development departments, including their employee number, last name, first name, and department name.
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In descending order, list the frequency count of employee last names, i.e., how many employees share each last name.
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Import the SQL database into Pandas.
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Create a histogram to visualize the most common salary ranges for employees.
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Create a bar chart of average salary by title.
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