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  1. Python-Challenge Python-Challenge Public

    PyBank and PyPoll analyses utilizes python script to analyze a set of sample financial data and poll data respectively,

    Jupyter Notebook

  2. Pandas-Challenge Pandas-Challenge Public

    Analysis and data files of "Pymoli" in-game purchasing data using Jupyter Notebook, Pandas, and Python 3.

    Jupyter Notebook

  3. Matplotlib-The-Power-of-Plots Matplotlib-The-Power-of-Plots Public

    This notebook utilizes Python Pandas and Matplotlib to organize, analyze, chart, and plot the sampled data.

    Jupyter Notebook

  4. Python-API-Challenge Python-API-Challenge Public

    WeatherPy Analysis used Python requests, APIs, JSON traversals & Matplotlib to retrieve, report and analyze weather conditions from 500+ cities.

    Jupyter Notebook

  5. SQL-Employee-Database SQL-Employee-Database Public

    SQL Table Merging and Analysis

  6. Sqlalchemy-Challenge Sqlalchemy-Challenge Public

    Advanced-Data-Storage-and-Retrieval. Used a Climate app to analyze precipitation and temperature in Hawaii using Flask, Python, SQLAlchemy, ORM queries, Pandas and Matplotlib.

    Jupyter Notebook