This project investigated the connection between weather and people's sentiment. For analysis, team used reviews from Yelp and weather data to identify interesting patterns focussing study on sentiment analysis, topic modeling, network analysis and unsupervised machine learning.

Built using: Python, Tableau

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This project is a visual exploration of the relationship between Africa’s economic development and its infrastructure. The focus is on the 47 countries that compose Sub-Saharan Africa. All data is sourced from the World Bank and Africa Development Bank Group.

Built using: Python, R, Tableau

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