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Staffelter Hof Winery is Germany's oldest business, established in 862 under the Carolingian dynasty. It has continued to serve customers through dramatic changes in Europe, such as the Holy Roman Empire, the Ottoman Empire, and both world wars. What characteristics enable a business to stand the test of time?

To help answer this question, BusinessFinancing.co.uk researched the oldest company still in business in almost every country and compiled the results into several CSV files. This dataset has been cleaned.

Having useful information in different files is a common problem. While it's better to keep different types of data separate for data storage, you'll want all the data in one place for analysis. You'll use joining and data manipulation to work with this data and better understand the world's oldest businesses.

The Data

businesses and new_businesses

ColumnDescription
businessName of the business (varchar)
year_foundedYear the business was founded (int)
category_codeCode for the business category (varchar)
country_codeISO 3166-1 three-letter country code (char)

countries

ColumnDescription
country_codeISO 3166-1 three-letter country code (varchar)
countryName of the country (varchar)
continentName of the continent the country exists in (varchar)

categories

ColumnDescription
category_codeCode for the business category (varchar)
categoryDescription of the business category (varchar)

Exercice 1

Spinner
DataFrameas
oldest_business_continent
variable
-- What is the oldest business on each continent?
WITH rank_per_continent AS (
	SELECT
		c.continent,
		c.country,
		b.business,
		b.year_founded,
		ROW_NUMBER () OVER (PARTITION BY continent ORDER BY year_founded) AS rank
	FROM
		businesses AS b
	INNER JOIN
		countries AS c
		ON b.country_code = c.country_code
)

SELECT
	continent,
	country,
	business,
	year_founded
FROM
	rank_per_continent
WHERE
	rank = 1
;

Exercice 2

Spinner
DataFrameas
count_missing
variable
-- How many countries per continent lack data on the oldest businesses
-- Does including the `new_businesses` data change this?
WITH 
all_businesses AS (
	SELECT
		*
	FROM
		businesses AS b
	UNION
	SELECT
		*
	FROM
		new_businesses AS nb
),

countries_without_businesses AS (
	SELECT
		ab.business,
		ab.year_founded,
		ab.category_code,
		ab.country_code,
		c.country,
		c.continent
	FROM
		all_businesses AS ab
	RIGHT JOIN
		countries AS c
		ON ab.country_code = c.country_code
)

SELECT
	continent,
	COUNT(*) AS countries_without_businesses
FROM
	countries_without_businesses
WHERE
	business IS NULL
GROUP BY
	continent
;

Exercice 3

Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
WITH everything AS (
	SELECT
		b.business,
		b.year_founded,
		co.country,
		co.continent,
		ca.category
	FROM
		businesses AS b
	INNER JOIN
		countries AS co ON b.country_code = co.country_code
	INNER JOIN
		categories AS ca ON b.category_code = ca.category_code
),

everything_ranked AS (
	SELECT
		*,
		RANK () OVER(PARTITION BY continent, category ORDER BY year_founded) AS rank
	FROM
		everything
)

SELECT
	continent,
	category,
	year_founded
FROM
	everything_ranked
WHERE
	rank = 1
;