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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)
Spinner
DataFrameas
oldest_business_continent
variable
-- What is the oldest business on each continent?
SELECT c.continent,
	c.country,
	b.business,
	b.year_founded
FROM businesses AS b
INNER JOIN countries AS c
USING(country_code)
WHERE (c.continent, b.year_founded) IN 
(SELECT cc.continent,
	MIN(bb.year_founded) AS year_founded
FROM businesses bb
INNER JOIN countries cc
USING(country_code)
GROUP BY cc.continent)
Spinner
DataFrameas
count_missing
variable
-- How many countries per continent lack data on the oldest businesses
-- Does including the `new_businesses` data change this?

SELECT continent,
	COUNT(*) AS countries_without_businesses
FROM countries 
WHERE country_code IN 
(SELECT country_code
FROM countries 
EXCEPT
SELECT country_code
FROM (SELECT * FROM businesses
 UNION 
 SELECT * FROM new_businesses) AS sub)
GROUP BY continent;
Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
SELECT continent,
	category,
	MIN(b.year_founded) AS year_founded
FROM businesses AS b
INNER JOIN countries AS c 
USING(country_code)
INNER JOIN categories AS ca 
USING(category_code)
GROUP BY c.continent, ca.category;