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This repository showcases my project on wrangling and analyzing the WeRateDogs Twitter dataset as part of Udacity's Data Analyst Nanodegree. The project focuses on gathering, assessing, cleaning, and analyzing Twitter data to uncover trends and patterns in dog ratings and engagement metrics.
About This repository showcases my project on analyzing the Ford GoBike dataset as part of Udacity's Data Analyst Nanodegree. The project focuses on investigating trends and patterns in bike-sharing data to derive insights into user behavior and operational efficiency in the bike-sharing industry.
This repository showcases my project on analyzing the TMDB movies dataset as part of Udacity's Data Analyst Nanodegree. The project focuses on investigating trends and patterns in movie data to derive insights into the film industry.
This repository contains my work on the A/B Testing project, part of Udacity's Data Analyst Nanodegree. The project involves designing and analyzing an A/B test and providing recommendations on whether a company should implement a new feature.
Wrangling WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations. The Twitter archive is great, but it only contains very basic tweet information.I made additional gathering, then assessing and cleaning to get a "Wow!"-worthy analyses and visualizations.
This repository contains my analysis for the "Explore Weather Trends" project, part of the Data Analyst Nanodegree at Udacity. The project involves extracting global and local weather data, followed by a detailed analysis to observe trends and patterns in temperature changes over time.