Pinned Repositories
climate-analysis-exploration
This project uses Python and SQLAlchemy to do a basical climate analysis and data exploration of a database containing data on the climate in Hawaii.
cveras33.github.io
db-engineering-and-analysis
dive-sites-ETL
ETL project, resulting in a MongoDB database containing information on dive sites including the weather, tides and if there are any wrecks at the site. All data for this project was extracted from public datasets or web APIs.
gaming-data-analysis
javascript-challenge
An HTML/CSS webpage that displays data about UFO sightings which is transformed to a table format from the original format of an array of JavaScript objects. A table is then appended to the HTML/CSS webpage and the JavaScript objects are added as rows. This reformatting of the data will allow users to filter the table data for specific values. The transformation/reformatting of data is done in JavaScript.
kickstart-funding-analysis
Using data from a crowd funding service called Kickstart to derive data and make analyses using Microsoft Excel.
leaflet-challenge
pharmaceuticals-technical-report
plotly-challenge
An interactive dashboard to explore the Belly Button Biodiversity dataset, using Plotly, the JavaScript open source graphing library.
cveras33's Repositories
cveras33/climate-analysis-exploration
This project uses Python and SQLAlchemy to do a basical climate analysis and data exploration of a database containing data on the climate in Hawaii.
cveras33/cveras33.github.io
cveras33/db-engineering-and-analysis
cveras33/dive-sites-ETL
ETL project, resulting in a MongoDB database containing information on dive sites including the weather, tides and if there are any wrecks at the site. All data for this project was extracted from public datasets or web APIs.
cveras33/gaming-data-analysis
cveras33/javascript-challenge
An HTML/CSS webpage that displays data about UFO sightings which is transformed to a table format from the original format of an array of JavaScript objects. A table is then appended to the HTML/CSS webpage and the JavaScript objects are added as rows. This reformatting of the data will allow users to filter the table data for specific values. The transformation/reformatting of data is done in JavaScript.
cveras33/kickstart-funding-analysis
Using data from a crowd funding service called Kickstart to derive data and make analyses using Microsoft Excel.
cveras33/leaflet-challenge
cveras33/pharmaceuticals-technical-report
cveras33/plotly-challenge
An interactive dashboard to explore the Belly Button Biodiversity dataset, using Plotly, the JavaScript open source graphing library.
cveras33/top-songs-spotify-api-analysis
Project 1 for Rutgers Data Science Bootcamp
cveras33/python-data-analysis
cveras33/stock-market-analysis
VBA script to analyze real stock market data.
cveras33/weather-analysis
cveras33/web-scraping-challenge
A web application that scrapes various websites for data related to the Mission to Mars using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter. Then using MongoDB with Flask templating a new HTML page is created that displays all of the information that was scraped.
cveras33/web-visualization-dashboard
Web Visualization Dashboard of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, and wind speed using HTML/CSS, and Bootstrap.