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alienpy

climatology

An exploration of global climate history at both a macro and micro level, using Tableau Public, Python, Excel, HTML/CSS, and Bootstrap.

d3project

diabeetcss

An interactive chart and webpage around the relationship between poverty and diabetes in the United States using HTML, CSS, and JavaScript (Bootstrap and D3).

heroku-bot

Scaffold for pushing to Heroku

intergalactic-converter

marspy

multistockvba

namesurfer

newsvaderpy

Using VADER Sentiment Analysis and the Twitter API, I look at 100 recent tweets from a number of popular US news organizations.

priority-queue

pyber

An analysis of rides, fares, and drivers for fictional rideshare company "Pyber."

pybossbank

Basic reading in a CSV and analyzing it.

pymoli

An analysis of fictional game "Pymoli", its in-app purchases, and player demographics.

sakilasqlfun

stunning-barnacle

surfyapy

This project deals with temperature and precipitation in Hawaii using Numpy, Pandas, MatPlotLib, and Seaborn for analysis, SQLAlchemy serving to connect to a SQLite database I created from CSVs I cleaned, and Flask to generate a mini-API. Datasets were provided by Trilogy Education Services (© 2017).

trafikipy

An analysis of traffic accident data for the UK in 2014, using data from the UK Data Service. (Sourced from Kaggle with original data coming from UK Data Service. See wiki for complete citations.)

ucberkeley_homeworkassignment1

weatherpy

Combining the OpenWeatherMap API and the Citipy module, I generate a list of random cities and analyze the relationship between various weather characteristics and latitude. I then reproduce the charts from my analysis on a fully functioning website with Plotly, Bootstrap, and JavaScript. (Please note: Website version is still in progress.)