In this project I take a Kaggle Dataset about the Movie Industry with attributes including budget, movie genre, gross revenue, rating and year to look for correlations. Libraries used include pandas, numpy, seaborn and matplotlib.
In this project I explore data about worldwide Covid cases and visualize the data in Tableau.
Skills used: Joins, CTE's, Temp Tables, Windows Functions, Aggregate Functions, Creating Views, Converting Data Types.
In this project I employ data cleaning techniques such as handling missing values, removing duplicates, and correcting inconsistencies to ensure data integrity and uncover key insights and relationships within the housing market data.
In this project I automatically sort files into new folders based on their file type.
In this project I utilize BeautifulSoup Python library to extract price information from a popular toy sold on Amazon and automate price checks that are input to a CSV file.