ssimoes48,github

biodiversity-plotly

Created an interactive dashboard featuring Plotly visualizations in JavaScript using data from a Belly Button Biodiversity DataSet, using BootstrapHTML and css.

Tableau Story of CitiBike Ridership: Created a story in Tableau to visualize CitiBike data from 2019 before the pandemic and 2020- after the pandemic to see how it has affected ridership. Data from Citibike was too large to import to Tableau so first I cleaned it in a Jupyter Notebook. Created multiple visualizations and dashboards to illustrate the changes or lack of change to ridership and station popularity. Offered suggestions to CitiBike based on conclusions.

cocktail-creator

Cocktail Creator- Full Stack App: Worked collaboratively to create an interactive website displaying information on popular cocktail recipes. Gathered data from csv files as well as web scraped data from google articles. Explored and cleaned data using Pandas in a Jupyter Notebook. Designed a database in PostgreSQL to store data. Created a website using Bootstrap HTML/CSS and interactive visualizations using multiple Javascript libraries including Plotly, Geomapping with Leaflet.js.

data-journalism-d3

Created complex chart visualizations evaluating different health risk factors from US Census Bureau data. Used D3.js to plot multiple different risk factors and how they correlate. Charts have mouse over interactions to change data comparisons and tooltip functions to show all relevant data.

earthquakes-leaflet

Used Leaflet and Mapbox to plot earthquake locations and magnitude from live API call to Geological site. Plotted fault lines in interactive map layer filters. Also created custom tooltips to show all geological data per event.

employeedb-sql

Used PostgrSQL to create dynamic database combining 6 css files. Created scheme in an ERD tool to map connections between data. Created multiple quires to further analyze data.

exoplanet-machine-learning

Machine Learning- Exoplanet Exploration- Created two machine learning models to classify candidate exoplanet plants from a NASA dataset. Thoroughly cleaned explored and cleaned data in a Jupyter Notebook. Created a Neural Network & GridSearch model and compared the accuracy of each model. Neural Network is more accurate at 87%.

food-deserts-analysis

Group Project #1

gaming-analysis-pandas

Panda's Gaming Analysis of Fantasy game 'Heroes of Pymoli'

happiness-etl

Explore-Transform-Load: Worked collaboratively to explore Happiness Index data from csv files and web scraping. Transformed and cleaned data in a jupyter notebook. Created schema to load data into a SQL database. Created multiple quires to illustrate functionality of database.

hawaii-weather-sqlalchemy

Weather analysis of different times of year in Hawaii using Matplotlib and SqlAlchemy. Created Flask app to return data as JSON

mars-web-scraping

Scraped live data from NASA site to show real time visualization of different characteristics of Mars using BeautifulSoup and Splinter. Page performs fresh scrape of data each time page loads. Used Flask to launch site and visualizations.

plots-matplotlib

The Power of Plots

pybank-python

PyBank & PyPoll - Python

python_api

Weather and Vacation - Python APO

ssimoes48.github.io

Sara Simoes - Portfolio & Resume

ufo-javascript

JavaScript and DOM Manipulation: Created dynamic table to track UFO sightings using D3.js including multiple filterable columns. Table reloads to original settings after filters are cleared.

wallstreet-vba

VBA Challenge: The VBA of Wall Street- created a mutli -sheet code in an excel workbook.

web-design-bootstraphtml

Weather Visualization HTML: Designed a responsive website using Bootstrap HTML and CSS to display climate data visualizations made in python using Pandas, Matplotlib, API Request calls, and Google Maps API in a Jupyter Notebook.

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