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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 countryBusiness(continent, country, country_code, business,  
	year_founded)
	AS (
SELECT
continent, country, b.country_code, business,  
	year_founded
FROM
businesses b
INNER JOIN 
countries c
ON
b.country_code=c.country_code 

order by continent, year_founded) 
SELECT countryBusiness.continent, country, business, year_founded
	FROM countryBusiness 
	INNER JOIN
	
(SELECT 
	
	distinct continent,
	Min(Year_founded) over(partition by continent order by year_founded) as min_foundation_year 
	FROM countryBusiness
	--where continent='Africa'
group by continent, Year_founded) min_year
	
ON
countryBusiness.continent=min_year.continent
AND
countryBusiness.year_founded=min_foundation_year

	--HAVING year_founded=Min(year_founded)


/*continent, country, b.country_code, business,  
	year_founded
FROM
businesses b
INNER JOIN 
countries c
ON
b.country_code=c.country_code 
where continent='Africa'-- and year_founded=1772
order by continent, year_founded asc */

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 c.continent, COUNT(c.country) as countries_without_businesses
	FROM countries c 
	LEFT JOIN (

SELECT
 	b.country_code, b.business, b.year_founded
FROM businesses b
	UNION 
SELECT 
	nb.country_code, nb.business, nb.year_founded
	
FROM
 new_businesses nb ) bnb
ON
c.country_code=bnb.country_code

WHERE bnb.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 distinct c.continent, busscat.category, Min(busscat.year_founded) OVER (partition by c.continent,busscat.category) as year_founded
	FROM countries c 
	INNER JOIN (

SELECT
 	b.country_code, b.year_founded, ctg.category
FROM businesses b
	INNER JOIN 
	categories ctg
	ON
	b.category_code=ctg.category_code) busscat
ON
c.country_code=busscat.country_code
GROUP BY c.continent, busscat.category, busscat.year_founded order by c.continent, busscat.category


/*SELECT
 	c.continent, b.country_code, b.year_founded, ctg.category
FROM businesses b
	INNER JOIN 
	categories ctg
	ON
	b.category_code=ctg.category_code
	inner join countries c on b.country_code=c.country_code
WHERE ctg.category='Defense'
*/