Penguin Averages View

SQLite

Based on the penguins table, create a view penguins_averages with the following fields:

- species: penguin species
- sex: penguin sex
- penguins_count: the number of individuals
- avg_bill_length_mm: average bill length in mm
- avg_bill_depth_mm: average bill depth in mm
- avg_flipper_length_mm: average flipper length in mm
- avg_body_mass_g: average body mass in grams, calculated by species and sex.

Expected result Columns: 7 · Rows: 6

species	sex	penguins_count	avg_bill_length_mm	avg_bill_depth_mm	avg_flipper_length_mm	avg_body_mass_g

Sample rows open after wrong checks: 0 of 2

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Querynomicon Database: table structure and overview

Querynomicon (SQLite) is a compact training database for learning SQL fundamentals with clear and simple examples.

This page presents the tables, key columns, and sample rows for hands-on SQL practice.

The Querynomicon database contains 5 main tables.

More about the Querynomicon database: schema, sample queries and all exercises →

List of tables

department - table of departments.

identDepartment ID
nameDepartment name
buildingBuilding name

ident	name	building
gen	Genetics	Chesson

little_penguins - table of little penguins.

speciesPenguin species
islandIsland of residence
bill_length_mmBill length, mm
bill_depth_mmBill depth, mm
flipper_length_mmFlipper length, mm
body_mass_gBody mass, g
sexSex

species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex
Gentoo	Biscoe	52.1	17	230	5550	MALE

penguins - table of penguins.

speciesPenguin species
islandIsland of residence
bill_length_mmBill length, mm
bill_depth_mmBill depth, mm
flipper_length_mmFlipper length, mm
body_mass_gBody mass, g
sexSex

species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex
Gentoo	Biscoe	52.1	17	230	5550	MALE

staff - table of employees.

identEmployee number
personalEmployee first name
familyEmployee last name
deptDepartment
ageAge

ident	personal	family	dept	age
7	Abram	Chokshi	gen	23

machine - table of machines.

identMachine ID
nameMachine name
detailsJSON with details

ident	name	details
1	WY401	{"acquired": "2023-05-01"}
2	Inphormex	{"acquired": "2021-07-15", "refurbished": "2023-10-22"}
3	AutoPlate 9000	{"note": "needs software update"}

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