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Photo by Maxim Tolchinskiy on Unsplash

When factoring heat generation required for the manufacturing and transportation of products, Greenhouse gas emissions attributable to products, from food to sneakers to appliances, make up more than 75% of global emissions. -The Carbon Catalogue

Our data, which is publicly available on nature.com, contains product carbon footprints (PCFs) for various companies. PCFs are the greenhouse gas emissions attributable to a given product, measured in CO2 (carbon dioxide equivalent).

This data is stored in a PostgreSQL database containing one table, prouduct_emissions, which looks at PCFs by product as well as the stage of production that these emissions occurred. Here's a snapshot of what product_emissions contains in each column:

product_emissions

fielddata type
idVARCHAR
yearINT
product_nameVARCHAR
companyVARCHAR
countryVARCHAR
industry_groupVARCHAR
weight_kgNUMERIC
carbon_footprint_pcfNUMERIC
upstream_percent_total_pcfVARCHAR
operations_percent_total_pcfVARCHAR
downstream_percent_total_pcfVARCHAR

You'll use this data to examine the carbon footprint of each industry in the dataset!

Spinner
DataFrameas
carbon_emissions_by_industry
variable
-- Total Industry Footprint by Industry Group

SELECT industry_group, COUNT(DISTINCT(company)) as num_companies, ROUND(SUM(carbon_footprint_pcf), 1) as total_industry_footprint
FROM product_emissions
WHERE year in (select max(year) from product_emissions)
GROUP BY industry_group
ORDER BY total_industry_footprint DESC; 

-- What countries have the highest footprint per companies

SELECT country, round(sum(carbon_footprint_pcf)/count(distinct company),2) as footprint_per_capita
FROM public.product_emissions
GROUP BY country 
ORDER BY footprint_per_capita DESC;

-- What industry leads to the highest emission

SELECT industry_group, sum(carbon_footprint_pcf) as total_carbon_footprint
FROM public.product_emissions
GROUP BY industry_group 
ORDER BY total_carbon_footprint DESC;

-- Create a running total footprint of the Electrical Equipment and Machinery through the year
SELECT distinct year, sum(carbon_footprint_pcf) OVER (ORDER BY year) as running_total
FROM product_emissions 
WHERE industry_group LIKE '%Electrical Equipment and Machinery%'
GROUP BY year, carbon_footprint_pcf;

-- Find the % increase in carboon footprint YoY
WITH running_totals AS (
    SELECT DISTINCT year, sum(carbon_footprint_pcf) OVER (ORDER BY year) AS running_total
    FROM product_emissions 
    GROUP BY year, carbon_footprint_pcf
    ORDER BY year ASC
)

SELECT distinct a.year, round((a.running_total-coalesce(b.running_total,0))/a.running_total *100,2) AS YOY_change
FROM running_totals AS a
INNER JOIN running_totals AS b 
ON a.year = b.year +1
ORDER BY a.year ASC