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Genesis Ruiz's Projects

belly-button-challenge icon belly-button-challenge

In this module's Challenge, I created an interactive dashboard using JavaScript, D3.js, and Plotly.js to fetch data from a JSON file.

citibike_trip_history icon citibike_trip_history

In this challenge, I utilized Pandas in a Jupyter Notebook to merge and clean Citi Bike trip data from January 2023 and January 2024. After creating a merged DataFrame, I saved it as a CSV file and imported it into Tableau for visualization.

leaflet-challenge icon leaflet-challenge

In this challenge, I utilized JavaScript and the D3 library to create interactive earthquake maps using GeoJSON data from the USGS.

matplotlib-challenge icon matplotlib-challenge

In this assignment, I delved into real-world data visualization using Matplotlib. My responsibilities encompassed data analysis, creating visualizations, and summarizing the findings to evaluate the performance of Capomulin and other drug regimens in treating SCC

module-1-challenge icon module-1-challenge

This module explores Excel, introducing advanced features like formulas and pivot tables, in a challenge to organize and analyze a database containing 1,000 sample crowdfunding projects in order to uncover any hidden trends.

nosql-challenge icon nosql-challenge

For this module’s Challenge, I imported a JSON file into a MongoDB database using Python and PyMongo to work with non-relational documents, utilized Pandas for data manipulation, and applied aggregation pipelines for data retrieval and analysis

pandas-challenge icon pandas-challenge

This module entails exploring and working with Pandas DataFrames to analyze data related to schools and standardized tests. The tasks include creating DataFrames, manipulating data within them using Pandas functionalities, and conducting various analyses such as comparing test scores across school and identifying trends.

python-api-challenge icon python-api-challenge

In this challenge, I used Python to fetch weather data from a chosen API based on geographic coordinates, analyzed the data to understand equatorial weather patterns, and generated map plots to visualize the results.

python-challenge icon python-challenge

This challenge involves using Python scripting to analyze financial data (budget_data.csv: "Date" and "Profit/Losses") and modernize vote counting for a small town (election_data.csv: "Voter ID," "County," "Candidate").

sql-challenge icon sql-challenge

This challenge entails creating SQL tables, importing data from CSV files, and analyzing the data to gain insights, offering practical experience in data modeling, engineering, and analysis.

sqlalchemy-challenge icon sqlalchemy-challenge

In this challenge, I utilize Python, SQLAlchemy, Pandas, and Matplotlib to perform a basic climate analysis and data exploration of a climate database.

vba-challenge icon vba-challenge

This module challenge uses VBA scripting to analyze generated stock market data.

web_scraping_challenge icon web_scraping_challenge

This project combines web scraping and data analysis techniques to extract Mars news articles' titles and preview text, alongside analyzing Mars weather data, using automated browsing, Beautiful Soup, and Pandas to gain insights into Mars' climate and news updates.

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