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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 combined_business AS (
    SELECT 
        c.continent, 
        c.country, 
        b.business, 
        b.year_founded 
    FROM businesses b
    INNER JOIN countries c 
        ON b.country_code = c.country_code
),
oldest_per_continent AS (
    SELECT 
        continent,
        MIN(year_founded) AS oldest_year
    FROM combined_business
    GROUP BY continent
)
SELECT 
    cb.continent,
    cb.country,
    cb.business,
    cb.year_founded
FROM combined_business cb
INNER JOIN oldest_per_continent opc
    ON cb.continent = opc.continent
   AND cb.year_founded = opc.oldest_year
ORDER BY cb.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 combined_business AS ( --this table will become a sub query
    SELECT * FROM businesses
    UNION ALL
    SELECT * FROM new_businesses
)

SELECT continent, COUNT(country) countries_without_businesses
FROM (
	SELECT * FROM countries c
	LEFT JOIN combined_business cb
		ON c.country_code = cb.country_code
	WHERE business IS NULL
)t
GROUP BY continent


Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
WITH old_business AS (
    SELECT b.*, ca.category, c.continent
    FROM businesses b
    INNER JOIN categories ca
        ON b.category_code = ca.category_code
    INNER JOIN countries c
        ON b.country_code = c.country_code
    WHERE b.year_founded IS NOT NULL
)
SELECT
    continent,
    category,
    MIN(year_founded) AS year_founded
FROM old_business
GROUP BY continent, category
ORDER BY year_founded;