Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by SumaiyyaF
A curated list of projects in awesome lists by SumaiyyaF .
https://github.com/sumaiyyaf/london_bikesharing
The London Bike Sharing Dataset includes data on bike rentals in London, with details like timestamps, weather conditions, and bike counts. Using this simple dataset to create visualizations
Last synced: 07 Feb 2025
https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 07 Feb 2025
https://github.com/sumaiyyaf/british-airline-dashboard
This Tableau dashboard visualizes British Airways customer reviews, showcasing key metrics like average ratings for service, entertainment, and seat comfort. It features interactive filters for exploring ratings by aircraft type, country, and traveler type, along with trend analysis over time.
analysis dashboard data tableau visualization
Last synced: 07 Feb 2025
https://github.com/sumaiyyaf/hr-analytics-dashboard
A comprehensive Dashboard for HR managers to analyze workforce data, offering summary views on key metrics (e.g., demographics, income) and a detailed, filterable employee records view for in-depth insights.
demographics hr-analytics tableau visualizations
Last synced: 07 Feb 2025
https://github.com/sumaiyyaf/movie-industry-analysis
This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.
exploratory-data-analysis numpy pandas python visualization webscraping
Last synced: 07 Feb 2025
https://github.com/sumaiyyaf/airbnb-listings
This project analyzes 2016-17 Airbnb data for Seattle and Boston to compare key market trends. It examines essential amenities, predicts listing prices using key features, tracks monthly price changes, and observes trends in listing numbers the cities - Seattle & Boston.
jupyter price-prediction python trends-analysis
Last synced: 23 Jan 2025