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) |
select * from categories;-- What is the oldest business on each continent?
with all_businesses as (
select * from businesses
union all
select * from new_businesses
),
ranked as (
select
c.continent,
c.country,
b.business,
b.year_founded,
rank() over (partition by continent order by year_founded asc) as first_rank
from all_businesses as b
inner join countries as c
on b.country_code = c.country_code
group by c.continent, c.country, b.year_founded, b.business
order by first_rank asc
)
select
continent,
country,
business,
year_founded
from ranked
where first_rank = 1-- How many countries per continent lack data on the oldest businesses
-- Does including the `new_businesses` data change this?
with all_businesses as (
select * from businesses
union all
select * from new_businesses
),
countries_with_business as(
select
b.business,
c.continent,
c.country
from countries as c
inner join all_businesses as b
on c.country_code = b.country_code
),
all_countries as(
select country, continent from countries
),
result as (
select country, continent from all_countries
except
select country, continent from countries_with_business
)
select
continent,
count(country) as countries_without_businesses
from result
group by continent
order by countries_without_businesses desc
-- Which business categories are best suited to last over the course of centuries?
select
c2.continent,
c1.category,
min(b.year_founded) as year_founded
from businesses as b
inner join categories as c1
on b.category_code = c1.category_code
inner join countries as c2
on b.country_code = c2.country_code
group by c2.continent, c1.category
order by year_founded asc
SELECT * FROM cinema.films