This report explores global springtime pet allergy trends (2015–2025) using Google Trends data. It highlights rising public awareness, seasonal search spikes, species-specific patterns and evolving treatment interests, especially comparing global vs. Nigerian audiences.

This presentation explores global springtime pet allergy trends (2015–2025) using Google Trends data, highlighting seasonal spikes, species patterns, regional differences and rising interest in treatments.

This analysis examines global and Nigerian pet emergency search trends from 2015 to 2025, revealing key insights into pet health awareness and access to care.

Share phase of Pet Emergency Trends

The Bellabeat Case Study analyzes smart device usage trends of FitBit's users to uncover insights that can enhance the company’s product design, marketing strategy, and user engagement. By examining data on activity tracking, sleep patterns, and user behavior.

This presentation provides a data-driven analysis of Fitbit's smart device usage trends, focusing on user behavior insights to enhance product design and marketing strategies to improve Bellabeat’s products.

The Cyclistic Bike-Share Analysis is a data-driven case study aimed at understanding user behavior and optimizing bike-sharing services. This study leverages historical trip data from Cyclistic, a fictional bike-share company, to uncover insights about different customer segments, usage patterns, and potential business strategies.

This presentation showcases a data-driven analysis of Cyclistic's bike-share program, focusing on identifying patterns in user behavior to optimize marketing strategies.