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 
	business,
	c.country,
	c.continent,
	year_founded
FROM businesses AS b
LEFT JOIN countries AS c
USING (country_code) 
ORDER BY year_founded ASC
LIMIT 6;

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_busineses AS (
		SELECT * 
		FROM businesses 
		UNION ALL
		SELECT *
		FROM new_businesses),

	w AS (SELECT  c.country_code
		  FROM countries AS c
		  EXCEPT 
		  SELECT a.country_code
          FROM all_busineses AS a) 

SELECT 
	continent,
	COUNT(country) AS countries_without_businesses 
FROM countries AS c
INNER JOIN w 
USING (country_code)
GROUP BY continent
ORDER BY continent;

Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries

SELECT 
	c.continent,
	cat.category,
	MIN(year_founded) AS year_founded
FROM businesses AS b
LEFT JOIN categories as cat
USING(category_code)
LEFT JOIN countries AS c
USING(country_code)
GROUP BY c.continent,cat.category
--HAVING year_founded = MAX(year_founded)
ORDER BY year_founded ASC;