In this project I made an EDA on the Maven Mexico Toys dataset, using deepnote I was able to use SQL to query the csv data as if it were from a SQL database. Making use of pandas and seaborn I found and visualized relevant information such as in which location and from which products the company was making the most profit.
A notebook that uses natural language processing techniques to process and extract the most used words by the characters in the Harry Potter movies and visualize them with word clouds.
A simple report about the cases of Covid-19 in Venezuela using data provided by the government. Python was used to explore and clean the data and MS Power BI to visualize it.
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