This is an experimental project!! The main objective of this project is to create a dashboard to analyze the data from several sources and develop a common place for these insights.
-
Renewable Energy (1960 - 2023) - main source (https://www.oecd-ilibrary.org/energy/renewable-energy/indicator/english_aac7c3f1-en) Kaggle dataset
-
World GDP by Country (1960 - 2022) Kaggle dataset
- Import and clear the data from the datasets
- Combine all the different sources into a main dataframe
- Analyze the dataframe and create metrics
- Create a local dashboard (StreamLit)
- Sort the global datasets by countries
- Pandas
- StreamLit
- Seaborn
- MathplotLib
- Clone this project
git clone https://github.com/forceliuss/RenewableIntegration.git - Run your python kernel
- Install all the libraries above
pip install -r requirements.txt - Run
app.pythrough the streamlit commandstreamlit run app.py