Jupyter notebook presenting the process of data preparation, research question formulation, data analysis, and data modelling with the goal of extracting insights from the 2018 PISA Dataset
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Updated
Dec 26, 2022 - Jupyter Notebook
Jupyter notebook presenting the process of data preparation, research question formulation, data analysis, and data modelling with the goal of extracting insights from the 2018 PISA Dataset
Country profiles for Regional Outlook (copy of https://gitlab.algobank.oecd.org/REGIONAL_OUTLOOK_2023/countryprofiles4)
Prediction of all countries’ PISA scores with macroeconomic indicators using pooled OLS with clustered standard errors
A simple dashboard to visualize topics on foreign aid such as spending, literacy rates, gdp per capita, and life expectancy.
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This is an analysis of the global plant-based meat market, that take into consideration the following three axes for each country: water shortages, the meat consumption in relation to the production and the percentage of vegetarians. It has been used to build a dashboard on Tableau Public
Analisi dell'impatto del fumo passivo sulla mortalità nell'UE, realizzata come progetto universitario per il corso di Statistica e Analisi dei Dati (UNISA, Università degli Studi di Salerno). Utilizza dati dell'OECD per esplorare la relazione tra investimenti, eventi storici, politiche sanitarie e decessi prematuri.
Analytics, ML, DS and Data Visualization projects using python
Visualize data from OECD on women's share of seats in national parliaments
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