The image showcases three bar charts titled "Bike Ride Analysis for the First Quarter of the Year." The data is presented across user types (Customers and Subscribers) and analyzed based on trip length and day of the week. Average Ride Length: This bar chart highlights the average ride duration in seconds for Customers and Subscribers. It is evident that Customers tend to have significantly longer ride durations compared to Subscribers. Average Ride Duration by Day: This chart presents the average trip duration (in seconds) for each day of the week, segmented by user type. Customers consistently show higher average ride durations across all days, with a peak on a specific day of the week. Total Rides by Day: This bar chart illustrates the total number of rides taken per day of the week, categorized by user type. Subscribers account for a larger share of rides on all days, with certain days showing significant peaks in usage.

The graph provides a detailed analysis of bike-sharing ride patterns for the second quarter of the year through three bar charts: Average Ride Length: This chart illustrates the average duration of rides (in seconds) for two user categories: Customers and Subscribers. Customers tend to have significantly longer average ride lengths compared to Subscribers. Average Ride Length by Day: This chart breaks down the average ride duration for each day of the week, segmented by user type. Across all days, Customers exhibit consistently longer average ride lengths compared to Subscribers. Total Rides by Day: This chart displays the total number of rides taken on each day of the week, categorized by user type. Subscribers clearly account for a higher number of total rides than Customers on all days.

Test

This corresponds to figure (3) of the manuscript titled "Green Innovations and firms’ energy expenditure-sales revenue nexus in the Philippines: Evidence from AI based prescriptive analytics", and co-authored by Ibrahim Niankara1*, Ghaleb El-Rafae1, Zafar Husain1, Amer Qasim1, Rachidatou I. Traoret2 1 College of Business, Al Ain University, Al Ain, 112612 Abu Dhabi, UAE {ibrahim.niankara, ghalebelrefae, zafar.husain, amer.qasim, LNCS}@aau.ae.ac 2 Training and Research Unit In Economics and Management, University Thomas Sankara, Ouagadougou, BF, Email: ringridtraoret@gmail.com

This corresponds to figure (2) of the manuscript titled "Green Innovations and firms’ energy expenditure-sales revenue nexus in the Philippines: Evidence from AI based prescriptive analytics", and co-authored by Ibrahim Niankara1*, Ghaleb El-Rafae1, Zafar Husain1, Amer Qasim1, Rachidatou I. Traoret2 1 College of Business, Al Ain University, Al Ain, 112612 Abu Dhabi, UAE {ibrahim.niankara, ghalebelrefae, zafar.husain, amer.qasim, LNCS}@aau.ae.ac 2 Training and Research Unit In Economics and Management, University Thomas Sankara, Ouagadougou, BF, Email: ringridtraoret@gmail.com

This is a series of choropleth plots showing the evolution of the highly pathogenic avian influenza (H5N1) outbreak in cattle in the US between March 2024 and March 2025

This project analyzes Heidelberg Cement Bangladesh's stock prices, covering 3,578 daily observations. I cleaned the data, calculated key statistics (volatility, percentage change, etc.), and created various visualizations: Static Visualization: A line plot showing stock price trends with a regression line. Interactive Visualization: An interactive plot created with Plotly. Animated Visualization: An animation showing stock price movement over time. The project highlights data cleaning, analysis, and visualization in R.

This corresponds to figure (1) of the manuscript titled "Green Innovations and firms’ energy expenditure-sales revenue nexus in the Philippines: Evidence from AI based prescriptive analytics", and co-authored by Ibrahim Niankara1*, Ghaleb El-Rafae1, Zafar Husain1, Amer Qasim1, Rachidatou I. Traoret2 1 College of Business, Al Ain University, Al Ain, 112612 Abu Dhabi, UAE {ibrahim.niankara, ghalebelrefae, zafar.husain, amer.qasim, LNCS}@aau.ae.ac 2 Training and Research Unit In Economics and Management, University Thomas Sankara, Ouagadougou, BF, Email: ringridtraoret@gmail.com