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Kenneth Clark Andersen's Projects

automated-vacation-planner icon automated-vacation-planner

Use APIs to download data from OpenWeather and Google maps. Use Pandas to analyze weather data and plot results with heat maps in Google Maps.

interactive-earthquake-app icon interactive-earthquake-app

Interactive map that shows recent earthquake activity from the USGS API, using D3, Leaflets, JavaScript, HTML and CSS.

kickstarter-campaign-success-analysis icon kickstarter-campaign-success-analysis

Identify certain factors that lend 4,000 Kickstarter campaigns to be successful - or failures. Data analysis and visualization using pivot tables and pivot charts in Excel.

machine-learning-challenge icon machine-learning-challenge

A machine learning model that identifies possible new planets using data raw dataset NASA's Kepler space telescope.

pharmaceutical-effectiveness-analysis icon pharmaceutical-effectiveness-analysis

Statistical analysis of a pharmaceutical study on 249 mice to determine the relative success of one drug over 9 competitors. The project utilized Python, Pandas in Jupyter Notebook, and Matplotlib to visualize the data.

software-sales-analysis icon software-sales-analysis

Uses Python Pandas to generate a report that breaks down a start-up video game's purchasing data into meaningful insights.

spotify-user-preferences-during-covid-analysis icon spotify-user-preferences-during-covid-analysis

Analysis demonstrates that Spotify could adapt it's song recommendation algorithms to take into account how different countries respond to crisis. Analysis conducted using Jupyter Notebook, Pandas, API data retrieval, CSV data imports, and Matplotlib.

the-mars-news-app icon the-mars-news-app

This app scrapes the latest data regarding Mars exploration and presents it in one convenient online user interface. Uses MongoDB, Splinter, ChromeDriveManager, Beautifulsoup, Jupyter Notebook, Pandas, HTML and CSS.

weather-database-and-api-service icon weather-database-and-api-service

Weather analysis with data from nine weather stations in Hawaii, using SQL Alchemy and Jupiter Notebook. Data queries are made publicly available via Python and the Flask API library.

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