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https://github.com/lulloooo/article-fromfitto55tofittoeveryone

Analysis leading to an article published in the EcoSprinter 2024 Annual edition about an Analysis of EU "Fit for 55" packages under a different perspective 🔎
https://github.com/lulloooo/article-fromfitto55tofittoeveryone

analysis data environment european-union

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Analysis leading to an article published in the EcoSprinter 2024 Annual edition about an Analysis of EU "Fit for 55" packages under a different perspective 🔎

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README

        

# FROM FIT TO 55 TO FIT FOR EVERYONE
**❗️ Read the published version in the [EcoSprinter 2024 Annual Edition](https://static1.squarespace.com/static/64abd4444e9a283575b5f266/t/66c6411b61870a2447a241b5/1724268905639/EcoSprinter+-+Annual+Edition+2024)** 🗞️

This is an analysis that backed my Article titled "From "Fit to 55" to Fit for Everyone" included in the Ecosprinter 2024 Annual edition.
The question my contribution tries to tackle is how much the "average european citizen" should decrease its carbon footprint to stick to "Fit for 55"'s direction.
In details, it compares the single individual's average carbon fooprint in the period 1990-2022 to the ideal carbon footpring they should have from 2022-2030 achieve the 55% emissions reduction.
Results are interesting, and give us hope that every single contribution counts.
Both Python (especially Jupiter Notebook) and Tableau have been used. All data comes from the Eurostat and the EEA.

In this repository it can be found (not considering this ReadMe):

1️⃣. a .ipynb file that is the analysis' code.
2️⃣. a .pdf file that is the final article has it has been published.
3️⃣. an in_data folder that contains data sources
4️⃣. an out_data folder which contains dataframes coming from the analysis
5️⃣. an img folder that includes article's images

📩 Feel free to reach out to me with feedbacks and comments or just to discuss more in-depth this topic.
Any idea would be warmly welcomed 😎