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Anush De Costa's Projects

biodiversity-dashboard icon biodiversity-dashboard

An interactive dashboard exploring the Belly Button Biodiversity dataset. It features horizontal bar and bubble charts, sample metadata display, and a bonus gauge chart for weekly washing frequency. Tools used: VSCode, HTML, CSS, JavaScript, D3.js, Plotly.js.

crowdfunding_etl icon crowdfunding_etl

Crowd-Quest: ETL Journey for Crowdfunding Data is a repository showcasing the ETL (Extract, Transform, Load) process. It involves extracting data from Excel files, transforming it into CSV format, designing an ERD and database schema, and loading the data into PostgreSQL. Tools used: Jupyter Notebook, VSCode, PostgreSQL, Quick DBD, Excel.

leaflet-global-earthquake-analysis icon leaflet-global-earthquake-analysis

This is an interactive atlas of global earthquakes. Using Leaflet.js, HTML, CSS, and JavaScript, the project displays earthquake locations and magnitudes from the USGS. It includes a Leaflet-based map with markers and popups, and a bonus section with tectonic plate boundaries. Tools used: VSCode, HTML, JavaScript, Leaflet, D3.js, CSS.

matplotlib-scc-treatment-analysis icon matplotlib-scc-treatment-analysis

This analyzes the effectiveness of drug regimens on tumors(tested on 249 mice) for Pymaceuticals Inc. The dataset is processed, visualized, and statistically analyzed to understand the relationship between regimens, tumor volume, metastatic sites, and mouse characteristics. Findings suggest promising results, but further research is needed.

nosql-food-hygiene-analysis icon nosql-food-hygiene-analysis

FoodQuest: UK's Food Landscape is a repository exploring UK food establishments using MongoDB. It includes configuring the database, modifying data, and conducting exploratory analysis. Tools used: Jupyter Notebook, VSCode, MongoDB Compass, Pandas, Matplotlib, Python, Terminal. Files: Setup and database update, Exploratory analysis.

pandas-school-analysis icon pandas-school-analysis

This explores school performance in a local government jurisdiction. The analysis covers data collection, correlation between spending and student performance, school size and passing rates, and differences between government and independent schools. Python and Pandas are used for analysis.

python-budget-and-vote-analysis icon python-budget-and-vote-analysis

This Python for data analysis covers data analysis and text file creation, PyBank analysis, and PyPoll analysis. It showcases Python's capabilities in processing datasets, calculating summary statistics, and generating formatted outputs for financial and election data.

python-weathervacation-api icon python-weathervacation-api

Weather and Vacation Analysis: Explore the relationship between latitude and weather variables. Generate scatter plots and regression models. Filter weather data to find cities with desired conditions. Locate nearby hotels for vacation planning. Python, Jupyter Notebook, Pandas, Matplotlib, Citipy, OpenWeatherMap API, Geoapify API.

sql-legacy-employee-database-analysis icon sql-legacy-employee-database-analysis

This is a repository that focuses on analyzing a legacy database. It includes establishing a data model, engineering data, and analyzing data. Through tools like Quick DBD, PostgreSQL, and SQL queries, the repository provides insights into the database structure and answers specific questions about the data.

sqlalchemy-surfsup-analysis icon sqlalchemy-surfsup-analysis

Surf's Up! is a repository that examines climate patterns in Honolulu, Hawaii. It utilizes Python, SQLAlchemy, and Flask to analyze precipitation and temperature data from weather stations. The repository includes a Flask API for easy data access. Tools used include Jupyter Notebook, SQLAlchemy, Pandas, Matplotlib, Python, and Flask.

vba-stock-market-data-analysis icon vba-stock-market-data-analysis

VBA-StockMarketAnalysis is a VBA script that automates stock data analysis. It reads the excel file and generates a report with ticker symbols, yearly and percentage changes, and total stock volumes. It also identifies stocks with the greatest increase, decrease, and total volume. This tool streamlines financial analysis and decision-making.

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