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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!

Unknown integration
DataFrameavailable as
df
variable
-- Start coding here... 
SELECT *
FROM product_emissions;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
Unknown integration
DataFrameavailable as
df2
variable
select distinct year from product_emissions
order by year desc;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
Unknown integration
DataFrameavailable as
df1
variable
select industry_group,
count(*) as count_industry,
round(sum(carbon_footprint_pcf),1) as total_industry_footprint
from product_emissions
group by industry_group, year
having year = 2017
order by sum(carbon_footprint_pcf) desc;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
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