VISUALIZING THE RIPPLE EFFECT: COVID-19'S IMPACT AND PREDICTIVE INSIGHTS
DOI:
https://doi.org/10.63458/ijerst.v2i1.70Keywords:
Machine learning, Random forest, Datavisualization, Python and MatplotLib.Abstract
solving have consistently guided us through these challenges. Presently, the world is confronted with the COVID-19 pandemic, stemming from a novel coronavirus originating in Wuhan, China, and swiftly spreading across the globe, infecting millions. However, in times of adversity, rigorous measures and inventive approaches become imperative. This study is dedicated to analyzing COVID-19 data using advanced visualization techniques to chart and juxtapose the outbreak's progression across various continents and territories, including the USA, China, India, Italy, and Taiwan. Employing metrics such as total confirmed cases, fatalities, and recoveries for each region, this analysis harnesses the power of data visualization to facilitate comparisons. Ultimately, this research endeavors to furnish a comprehensive insight into the global impact of COVID-19 through the integration of Data Visualization and Machine Learning methodologies.
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