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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 ranked_businesses AS (
    SELECT
        c.continent,
        c.country,
        b.business,
        b.year_founded,
        RANK() OVER (
            PARTITION BY c.continent
            ORDER BY b.year_founded ASC
        ) AS rnk
    FROM businesses b
    JOIN countries c
        ON b.country_code = c.country_code
)
SELECT
    continent,
    country,
    business,
    year_founded
FROM ranked_businesses
WHERE rnk = 1;

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 all_business_countries AS (
    SELECT country_code FROM businesses
    UNION
    SELECT country_code FROM new_businesses
),
countries_with_business AS (
    SELECT DISTINCT
        c.continent,
        c.country_code
    FROM countries c
    JOIN all_business_countries b
        ON c.country_code = b.country_code
),
total_countries AS (
    SELECT
        continent,
        COUNT(*) AS total
    FROM countries
    GROUP BY continent
),
covered_countries AS (
    SELECT
        continent,
        COUNT(*) AS covered
    FROM countries_with_business
    GROUP BY continent
)
SELECT
    t.continent,
    (t.total - COALESCE(c.covered, 0)) AS countries_without_businesses
FROM total_countries t
LEFT JOIN covered_countries c
    ON t.continent = 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,
    cat.category,
    MIN(b.year_founded) AS year_founded
FROM businesses b
JOIN countries c
    ON b.country_code = c.country_code
JOIN categories cat
    ON b.category_code = cat.category_code
GROUP BY
    c.continent,
    cat.category
ORDER BY
    c.continent,
    cat.category;