ANNA DUFIE AFRIYIE
Strategic Market Research & Data Analysis Expert
New to Contra
ANNA is ready for their next project!
Every element of this USA Road Accident Dashboard was developed to visualize accident patterns and their contributing factors across the country. Using Power BI, the dashboard highlights key insights such as the percentage of night accidents, visibility-related crashes, and geographical hot spots with the highest impact levels. Through interactive visuals and filters, it helps policymakers, transport authorities, and analysts identify risk trends, monitor safety performance, and make data-informed decisions to reduce accident rates nationwide.
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This Python-based Google Trends Analysis examines how global workout preferences changed across the pandemic. Using Pandas, NumPy, and Matplotlib, the study compares “home workout” and “gym workout” search trends across the U.S., Australia, Japan, Malaysia, and the Philippines. The findings reveal clear behavioral shifts—home workouts dominated 2020, but gym workouts now lead worldwide—offering valuable insights for fitness, wellness, and digital marketing decision-making.
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Every component of this Global Life Expectancy Interactive Dashboard was designed to visualize how health, education, and economic indicators influence life expectancy across countries. Using WHO data, the dashboard highlights key patterns such as adult mortality rates, under-five deaths, and schooling years to compare developed and developing nations. Through interactive visuals, policymakers and researchers can explore global trends, assess risk factors, and identify opportunities to improve health outcomes and quality of life worldwide.
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Every element of this Loan Performance Dashboard was designed to give financial institutions a clearer picture of their lending operations. The dashboard tracks total disbursements, repayments, profit margins, and borrower behavior to reveal performance patterns across loan types and customer segments. By visualizing real-time data, it empowers managers to identify risks early, enhance repayment efficiency, and make data-driven lending decisions with confidence.
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