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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 founded_year AS 
	(SELECT business, year_founded, country, continent
	FROM businesses
	INNER JOIN countries
	USING (country_code)),
min_year AS(	
SELECT continent, MIN(year_founded) as year_founded
FROM founded_year
GROUP BY continent)

SELECT f.continent, f.business, f.year_founded, f.country
FROM founded_year f
JOIN min_year m
ON f.continent = m.continent AND f.year_founded = m.year_founded
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 unite AS (
	SELECT *
	FROM businesses
	UNION
	SELECT *
	FROM new_businesses
)

SELECT continent, COUNT(country_code) as countries_without_businesses
FROM countries c
LEFT JOIN unite u
USING(country_code)
WHERE u.business IS NULL
GROUP BY c.continent;
Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
SELECT c.continent, t.category, MIN(b.year_founded) as year_founded
FROM countries as c
INNER JOIN businesses as b
USING (country_code)
INNER JOIN categories as t
USING (category_code)
GROUP BY c.continent, t.category
ORDER BY c.continent, t.category