Skip to content

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)
Spinner
DataFrameas
oldest_business_continent
variable
-- What is the oldest business on each continent?
SELECT *
FROM 
(
SELECT b.country_code AS country, b.business AS business, c.continent AS continent, 		b.year_founded AS year_founded
FROM public.businesses AS b
INNER JOIN public.countries AS c
USING (country_code)
) AS first
INNER JOIN
(
SELECT c.continent AS continent, MIN(b.year_founded) AS year_founded
FROM public.businesses AS b
INNER JOIN public.countries AS c
USING (country_code)
GROUP BY c.continent
) AS second 
USING (continent, year_founded)

SCRATCH: It took me like over an hour to just get the first question! I tried many times and had to use the guide.

Spinner
DataFrameas
count_missing
variable
-- How many countries per continent lack data on the oldest businesses?
SELECT COUNT(c.country) AS countries_without_businesses, c.continent
FROM public.countries AS c
LEFT JOIN 
(
	SELECT * 
	FROM public.businesses
	UNION ALL
	SELECT *
	FROM public.new_businesses
) AS sub1
USING (country_code)
WHERE business IS NULL
GROUP BY continent;

-- Does including the `new_businesses` data change this?

Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
SELECT cou.continent, cat.category AS category, MIN(b.year_founded) AS year_founded
FROM public.countries AS cou
INNER JOIN public.businesses AS b
USING (country_code)
INNER JOIN public.categories AS cat
USING (category_code)
GROUP BY continent, category
ORDER BY continent, category;