⏰ Time's short?
👉 Click here to check my presentation, hosted by Tableau ♡
Let's refresh some important history facts about climate change.
▫️ In 1896, a seminal paper by Swedish scientist Svante Arrhenius first predicted that changes
in atmospheric carbon dioxide levels could substantially alter the surface temperature through
the greenhouse effect.
▫️ In 1938, Guy Callendar connected carbon dioxide increases in Earth’s atmosphere to global
warming.
▫️ In 1956, Gilbert Plass formulated the Carbon Dioxide Theory of Climate Change.
▫️ The planet's average surface temperature has risen about 1.18 degrees Celsius since the
late 19th century, a change driven largely by increased carbon dioxide emissions into the
atmosphere and other human activities.
▫️ Most of the warming occurred in the past 40 years, with the seven most recent years being
the warmest.
▫️ The years 2016 and 2020 are tied for the warmest year on record.
Source: NASA
▫️ Research, collect and analyse data (API / web scraping)
▫️ Apply the programming and statistical techniques
▫️ Create useful and easily-interpretable plots
▫️ Communicate the analysis results clearly, accurately, and engagingly
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Cleaned final dataset (./assets):
fesc.csvmeat_veg.csvmeat_veg_tonnes.csvwb_population.csv
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Data analysis in Jupyter Notebook:
project_02_ironhack_meat_the_future_api.ipynbproject_02_ironhack_meat_the_future_data.ipynb
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Formal presentation – Storytelling with data:
- done with
Tableaucheck it here
- done with
- Python @ Jupyter Notebook
- Pandas / Numpy
- API / web scraping
- Tableau
▫️ Food and Agriculture Organization of the United Nations
▫️ WBGAPI – pythonic access to the World Bank's data API


