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Photo by Maxim Tolchinskiy on Unsplash

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 availably 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 these emissions occured in. 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
df
variable
-- Start coding here... 
SELECT max(year),industry_group, 
       count(*) as count_industry, 
       sum(carbon_footprint_pcf) as total_industry_footprint
FROM product_emissions
GROUP BY industry_group;