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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?
WITH OLDEST AS (
    SELECT *
    FROM countries
    JOIN businesses ON countries.country_code = businesses.country_code
),
LIST AS (
    SELECT continent, min(year_founded) AS EARLY
    FROM OLDEST
    GROUP BY continent
)
SELECT OLDEST.continent, OLDEST.country, OLDEST.business, OLDEST.year_founded
FROM OLDEST
JOIN LIST ON OLDEST.continent = LIST.continent AND OLDEST.year_founded = LIST.EARLY;
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(country) AS countries_without_businesses
FROM (
    SELECT *
    FROM businesses
    UNION ALL
    SELECT *
    FROM new_businesses
) AS all_businesses
RIGHT JOIN countries ON countries.country_code = all_businesses.country_code
WHERE all_businesses.business IS NULL
GROUP BY continent
Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
WITH BUSINESS AS (
	SELECT *
    FROM businesses
    ),
	total AS(
	SELECT *
	FROM BUSINESS
	INNER JOIN categories ON categories.category_code = BUSINESS.category_code
		INNER JOIN countries ON countries.country_code= BUSINESS.country_code)

SELECT continent, category, MIN(total.year_founded) AS year_founded
FROM total
GROUP BY continent, category
ORDER BY continent, category
Spinner
DataFrameas
df
variable
SELECT c.continent, cat.category, MIN(b.year_founded) AS year_founded
FROM businesses b
INNER JOIN categories cat ON b.category_code = cat.category_code
INNER JOIN countries c ON b.country_code = c.country_code
GROUP BY c.continent, cat.category
ORDER BY c.continent, cat.category;