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
Column | Description |
---|---|
business | Name of the business (varchar) |
year_founded | Year the business was founded (int) |
category_code | Code for the business category (varchar) |
country_code | ISO 3166-1 three-letter country code (char) |
countries
Column | Description |
---|---|
country_code | ISO 3166-1 three-letter country code (varchar) |
country | Name of the country (varchar) |
continent | Name of the continent the country exists in (varchar) |
categories
Column | Description |
---|---|
category_code | Code for the business category (varchar) |
category | Description of the business category (varchar) |
-- merge two dataset
WITH merge_data AS (
SELECT * FROM public.businesses
UNION
SELECT * FROM public.new_businesses
)
SELECT continent, country, business, year_founded
FROM (SELECT
c.continent,
c.country,
m.business,
m.year_founded,
ROW_NUMBER() OVER(PARTITION BY c.continent ORDER BY m.year_founded ASC) -- to get row num where 1 is assigned to oldest business
FROM merge_data AS m
LEFT JOIN public.countries AS c
ON m.country_code = c.country_code) AS oldest_business
WHERE row_number = 1;
-- How many countries per continent lack data on the oldest businesses
-- Does including the `new_businesses` data change this?
WITH merge_business AS (
SELECT * FROM public.businesses
UNION
SELECT * FROM public.new_businesses)
SELECT
c.continent,
COUNT(c.country) AS countries_without_businesses
FROM public.countries AS c
LEFT JOIN merge_business AS m
ON m.country_code = c.country_code
WHERE m.business IS NULL
GROUP BY c.continent;
-- Which business categories are best suited to last over the course of centuries?
SELECT c.continent, cat.category, MIN(b.year_founded) AS year_founded
FROM public.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;