Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379086800> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4379086800 abstract "The outbreak of the coronavirus disease in Nigeria and all over the world in 2019/2020 caused havoc on the world's economy and put a strain on global healthcare facilities and personnel. It also threw up many opportunities to improve processes using artificial intelligence techniques like big data analytics and business intelligence. The need to speedily make decisions that could have far-reaching effects is prompting the boom in data analytics which is achieved via exploratory data analysis (EDA) to see trends, patterns, and relationships in the data. Today, big data analytics is revolutionizing processes and helping improve productivity and decision-making capabilities in all aspects of life. The large amount of heterogeneous and, in most cases, opaque data now available has made it possible for researchers and businesses of all sizes to effectively deploy data analytics to gain action-oriented insights into various problems in real time. In this paper, we deployed Microsoft Excel and Python to perform EDA of the covid-19 pandemic data in Nigeria and presented our results via visualizations and a dashboard using Tableau. The dataset is from the Nigeria Centre for Disease Control (NCDC) recorded between February 28th, 2020, and July 19th, 2022. This paper aims to follow the data and visually show the trends over the past 2 years and also show the powerful capabilities of these data analytics tools and techniques. Furthermore, our findings contribute to the current literature on Covid-19 research by showcasing how the virus has progressed in Nigeria over time and the insights thus far." @default.
- W4379086800 created "2023-06-02" @default.
- W4379086800 creator A5019468571 @default.
- W4379086800 creator A5042468272 @default.
- W4379086800 creator A5043240014 @default.
- W4379086800 creator A5046876831 @default.
- W4379086800 creator A5052089204 @default.
- W4379086800 creator A5065531202 @default.
- W4379086800 date "2023-05-30" @default.
- W4379086800 modified "2023-09-27" @default.
- W4379086800 title "Visual Exploratory Data Analysis of the Covid-19 Pandemic in Nigeria: Two Years after the Outbreak" @default.
- W4379086800 doi "https://doi.org/10.48550/arxiv.2305.19297" @default.
- W4379086800 hasPublicationYear "2023" @default.
- W4379086800 type Work @default.
- W4379086800 citedByCount "0" @default.
- W4379086800 crossrefType "posted-content" @default.
- W4379086800 hasAuthorship W4379086800A5019468571 @default.
- W4379086800 hasAuthorship W4379086800A5042468272 @default.
- W4379086800 hasAuthorship W4379086800A5043240014 @default.
- W4379086800 hasAuthorship W4379086800A5046876831 @default.
- W4379086800 hasAuthorship W4379086800A5052089204 @default.
- W4379086800 hasAuthorship W4379086800A5065531202 @default.
- W4379086800 hasBestOaLocation W43790868001 @default.
- W4379086800 hasConcept C111919701 @default.
- W4379086800 hasConcept C120894424 @default.
- W4379086800 hasConcept C124101348 @default.
- W4379086800 hasConcept C142724271 @default.
- W4379086800 hasConcept C172367668 @default.
- W4379086800 hasConcept C175801342 @default.
- W4379086800 hasConcept C2522767166 @default.
- W4379086800 hasConcept C2767350 @default.
- W4379086800 hasConcept C2779134260 @default.
- W4379086800 hasConcept C3008058167 @default.
- W4379086800 hasConcept C33499554 @default.
- W4379086800 hasConcept C36464697 @default.
- W4379086800 hasConcept C41008148 @default.
- W4379086800 hasConcept C519991488 @default.
- W4379086800 hasConcept C524204448 @default.
- W4379086800 hasConcept C56739046 @default.
- W4379086800 hasConcept C71924100 @default.
- W4379086800 hasConcept C75684735 @default.
- W4379086800 hasConcept C79158427 @default.
- W4379086800 hasConcept C89623803 @default.
- W4379086800 hasConceptScore W4379086800C111919701 @default.
- W4379086800 hasConceptScore W4379086800C120894424 @default.
- W4379086800 hasConceptScore W4379086800C124101348 @default.
- W4379086800 hasConceptScore W4379086800C142724271 @default.
- W4379086800 hasConceptScore W4379086800C172367668 @default.
- W4379086800 hasConceptScore W4379086800C175801342 @default.
- W4379086800 hasConceptScore W4379086800C2522767166 @default.
- W4379086800 hasConceptScore W4379086800C2767350 @default.
- W4379086800 hasConceptScore W4379086800C2779134260 @default.
- W4379086800 hasConceptScore W4379086800C3008058167 @default.
- W4379086800 hasConceptScore W4379086800C33499554 @default.
- W4379086800 hasConceptScore W4379086800C36464697 @default.
- W4379086800 hasConceptScore W4379086800C41008148 @default.
- W4379086800 hasConceptScore W4379086800C519991488 @default.
- W4379086800 hasConceptScore W4379086800C524204448 @default.
- W4379086800 hasConceptScore W4379086800C56739046 @default.
- W4379086800 hasConceptScore W4379086800C71924100 @default.
- W4379086800 hasConceptScore W4379086800C75684735 @default.
- W4379086800 hasConceptScore W4379086800C79158427 @default.
- W4379086800 hasConceptScore W4379086800C89623803 @default.
- W4379086800 hasLocation W43790868001 @default.
- W4379086800 hasOpenAccess W4379086800 @default.
- W4379086800 hasPrimaryLocation W43790868001 @default.
- W4379086800 hasRelatedWork W1605886311 @default.
- W4379086800 hasRelatedWork W2018276586 @default.
- W4379086800 hasRelatedWork W2741891353 @default.
- W4379086800 hasRelatedWork W2798794487 @default.
- W4379086800 hasRelatedWork W2935775385 @default.
- W4379086800 hasRelatedWork W2962862225 @default.
- W4379086800 hasRelatedWork W3007959775 @default.
- W4379086800 hasRelatedWork W3085287493 @default.
- W4379086800 hasRelatedWork W4286447879 @default.
- W4379086800 hasRelatedWork W4323021804 @default.
- W4379086800 isParatext "false" @default.
- W4379086800 isRetracted "false" @default.
- W4379086800 workType "article" @default.