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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
    ct.continent,
    ct.country,
    bs.business,
    bs.year_founded
FROM businesses AS bs
INNER JOIN countries AS ct ON bs.country_code = ct.country_code
WHERE (bs.year_founded, ct.continent) IN (
    SELECT MIN(bs2.year_founded), ct2.continent
    FROM businesses AS bs2
    INNER JOIN countries AS ct2 ON bs2.country_code = ct2.country_code
    GROUP BY ct2.continent
)
ORDER BY bs.year_founded ASC;
Spinner
DataFrameas
count_missing
variable
WITH combined_business AS (
	SELECT country_code
	FROM businesses
	UNION ALL
	SELECT country_code
	FROM new_businesses
	),
countries_without_businesses AS (
	SELECT DISTINCT c.continent, c.country_code
	FROM countries as c
	LEFT JOIN combined_business AS cb ON c.country_code = cb.country_code
	WHERE cb.country_code IS NULL
	)
	
SELECT continent, COUNT(country_code) AS countries_without_businesses
FROM countries_without_businesses
GROUP BY continent;
Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
WITH continent_category_ages AS (
    SELECT 
        ct.continent,
        cat.category,
        MIN(bs.year_founded) AS oldest_year
    FROM businesses bs
    INNER JOIN countries ct ON bs.country_code = ct.country_code
    INNER JOIN categories cat ON bs.category_code = cat.category_code
    GROUP BY ct.continent, cat.category
)
SELECT
    continent,
    category,
    oldest_year AS year_founded
FROM continent_category_ages
ORDER BY continent, oldest_year ASC;