Topic: "trends-analysis"
virajbhutada/spotify-track-analysis-and-recommendation
Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.
Language: Jupyter Notebook - Size: 43 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 6 - Forks: 1
Jagger-01/Building-A-Dashboard-With-Google-Looker-Studio
A comprehensive project using Python, APIs, web scraping, and data visualization to identify emerging skills in demand. Includes data collection, wrangling, analysis, visualizations, a Google Looker Studio dashboard, and a final presentation.
Language: Jupyter Notebook - Size: 5.94 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
DishaK06/HealthCare_Industry_Dynamics
The goal of this project is to generate actionable insights for healthcare stakeholders. By analyzing complex trends and patterns, it aims to support decision-makers, healthcare professionals, and policymakers in making informed decisions that improve the efficiency and effectiveness of the U.S. healthcare system.
Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
DataSayant1st/Tableau
This repository consists of some of the Tableau projects that I worked on.
Size: 7.95 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Tran1595/YouTubeAnalytics
I'm excited to share a guide I created to help you explore what makes YouTube videos go viral. Whether you're a content creator, data enthusiast, or just curious about viral trends, this guide is for you!
Language: Python - Size: 43.9 KB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
nataliabeltranarg/TimeSeriesForecasting-GlovoOrders
Implemented time series forecasting to predict future orders for Glovo, utilizing models such as ARIMA/SARIMA, LASSO, XGBoost, and Linear Regression.
Language: Jupyter Notebook - Size: 9.26 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
