Kaggle Notebook

Pump-up the glam in Jupyter Notebooks with innovative tools like Plotly, MatPlotLib and Seaborn.

Notebook that uses data analysis methods to analyze the history of LEGO sets between 1991 and 2021.

Analyzing employee data through Jupyter Notebook using Pandas and Plotly libraries to provide insights about performance, talent, demographics and so on.

In this Notebook, I analyze the following five semiconductor stocks: HD, INTC, AMD, MU, NVDA, and TSM. Then, I choose the stock with the least correlation to JNJ in order to diversify a portfolio. The data was generated using the GOOGLEFINANCE historical market data script.

Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.

Jupyter Notebook to analyze the salaries of Federal District government public servants, using Python, Pandas and Plotly Express, to solve the proposed exercise in "Data Discovery and Visualization" discipline.

This is a Jupyter Notebook( iPython Notebook) with Data Analysis (EDA) on FIFA WC Qatar 2022 match data.

A Jupyter Notebook written in Python to download Jira issues, boards, sprints, projects and epics data. Data is stored in a Pandas dataframe and visualized with Plotly Express.