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Headcount by Department Name

mediumSQLJoinsGroupBy

The board deck for Kestrel Labs has a slide showing how the company is distributed across its teams, and the version that came back from review has a note on it in red: nobody outside this room knows what team 4 is. The slide has to name the teams.

That is the difficulty here rather than the counting. People are counted in one table, and team names live in another; the employee row knows only a number. The deck wants the biggest team at the top, and three of the four teams are the same size, so the slide also needs a rule for what happens when sizes are equal.

departments — one row per team. budget is that team's annual budget in dollars.

id name budget
1 Engineering 900000
2 Sales 400000
3 Marketing 250000
4 Data 500000

employees — one row per person. department_id is the team they sit on, given as the matching id in departments; salary is annual pay in dollars; hire_date is the day they started, written year-month-day; manager_id is the id of the person they report to, and is NULL for anyone who reports to nobody.

id name department_id salary hire_date manager_id
1 Ava Chen 1 145000 2021-03-14 NULL
2 Ben Ortiz 1 118000 2022-06-01 1
3 Cara Novak 1 121000 2023-01-10 1
4 Deshawn Lee 2 95000 2020-09-23 NULL
5 Elin Kask 2 88000 2022-11-05 4
6 Farid Amiri 3 76000 2023-04-18 NULL
7 Grace Kim 4 132000 2021-07-30 NULL
8 Hugo Silva 4 110000 2023-02-14 7
9 Ines Duarte 4 104000 2023-08-01 7
10 Jonas Weber 2 91000 2021-12-19 4

Both tables already exist in the database — there is nothing to create or load.

Task: Write a query returning two columns, name (the team's name) and headcount (how many employees are on that team), one row per team, largest headcount first. When two teams have the same headcount, list them alphabetically by name. A team with nobody on it would not appear at all; every team here has at least one employee, so all four are in the result.

Example output — shape only, on invented teams. The first two are level, so they fall alphabetically:

name headcount
Legal 12
Logistics 12
Support 5

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