ngashbaugh Goto Github PK
Name: Nathan Ashbaugh
Type: User
Bio: Certificate of completion from UC Davis's data analytics course. A great communicator and independent thinker. Solution oriented and a passion for learning.
Location: Sacramento, CA
Nathan Ashbaugh's Projects
d3_javascript-health_age_income_correlations
In this repository I used D3 in JavaScript to create a scatter plot where each dot represents each state in the United States of America.
housingvsrental
In this Project we wanted to visualize house marked date within the entire US.
javascript-interactive_table_search
JavaScript Challenge - Completed for UC Davis's data analytics and visualization Bootcamp
javascript-leaflet_earthquake
Leaflet Challenge - Visualizing Data with Leaflet- Completed for UC Davis's data analytics and visualization Bootcamp
ngashbaugh.github.io
Hosted Web Sites on GitHub
plotly_dashboard
In this repository I utilized JavaScript app to create an interactive dashboard that updates itself based off the selection made from the dropdown.
pokemongo
In this repository I load in two separate Pokemon Go APIs clean up the data then compare the two to see which one has better stats and information
python-api
In this repository weather data was pulled from an API which houses weather from around the world. The Data was used to find out if there is a correlation between temperature, humidity, wind speed and latitude.
python-matplotlib
In this repository data is taken from a drug trail pertaining to skin cancer
python-pandas
In this repository gaming data was cleaned and then split and presented using Pandas
resume
Published Resume
sql-queries
In this repository data was imported from CSVs into PostgreSQL, the data was organized, and various queries were used to join the tables, displaying relevant information. This was used to practice various joins, selects, group bys’, etc.
sql_alchemy-flask-api
In this repository data is pulled from the local hard drive and pushed to the web in the form of an API.
web_design
In this repository weather data was taken in and presented on an HTML web site. Open the link to see the site.
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