Name: Sarah Grant
Type: User
Bio: Data analyst and journalist with passion for music data. Skills include: D3, MapBox, Python, Leaflet, MatPlotLib, SQL, Tableau.
Twitter: sarahgrant
Location: Brooklyn, NY
Blog: sarahgrant11.github.io
Sarah Grant's Projects
Created interactive dashboard using a biodiversity dataset and demographic data, using D3, Plotly.js, Javascript, HTML, Heroku, JSON.
Analytics Bootcamp Group Project, analyzing 100+ years of baby names in the USA by year, gender, state, region, and name length.
Analytics Bootcamp Group Project, analyzing 100+ years of baby names in the USA by year, gender, state, region, and name length.
Created multi-layer world map showing seismic activity over seven days using the UCGS GeoJSON feed, Leaflet, Mapbox, D3, Javascript and HTML.
Group ETL Project: Rooftop Drinking Water Tank Inspection Results & Zip code demographic statistics.
Group ETL Project: Rooftop Drinking Water Tank Inspection Results & Zip code demographic statistics
Built two python scripts that cleaned and analyzed bank data and election data, respectively.
Hello World
Created visualization using HTML, Javascript, and D3 to show correlations between rates of obesity, smoking status and healthcare access with rates of poverty, household income and age, based on Census data in every state.
Web scraping application presenting various websites' data related to the Mission to Mars in a single HTML page. Scraping with Jupyter Notebook, BeautifulSoup, Pandas, Requests/Splinter.
100+ Python challenging programming exercises
WeatherPy notebook to visualize the weather of 500+ cities across the world of varying distance from the equator. VacationPy notebook plans vacation based on results using jupyter-gmaps and the Google Places API.
Sarah Grant
Ordering playlists based on Spotipy variables to spice up my music life.
SQL Homework
SQLAlchemy Analysis - Hawaii weather station sqlite data sets mapped via SQLalchemy then analyzed with Pandas and Matplotlib via Jupyter Notebook.
Generated tables, scatter plots and statistical analysis of results of various drug trials using Matplotlib and Python.
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
VBA homework