Data will talk to you, if you are willing to listen
Build Anything with Widgets
Welcome to my personal website. A website for a professional standout. When I first heard a demo given by Yuhui Xue on one of Rstudio’s many conferences, I got to know about the use of Hugo + Blogdown, I really wanted one of mine, So here we go.
Plus in this era of 2020, who even exists if they don’t have a website, right?
Passion is what led me here.
Cheers
Varsha Ujjinni Vijay Kumar is a student at Monash University currently pursuing her higher studies in Business Analytics. She is a graduate from India in Bachelor’s of Information science and Engineering.
Her interests include collection of data(data retrieval), data analysis, and visualizations. Her hobbies are Volunteering, Singing, drawing and meeting new people.
Download my resumé.
Master's in Business Analytics, 2020-2021
Monash University
Bachelor's in Information Science, 2015-2019
The Oxford College of Engineering
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Responsibilities include:
COVID-19 or coronavirus is the infectious disease caused by the most recently discovered coronavirus. It was first known in December,2019 at Wuhan,China, which then soon turned into a global pandemic as declared by the World Health Organization(WHO) on 11 March,2020.
Why Shiny? Shiny helps us turn our analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge. Easy to the eyes, makes analyzed visualizations easier to understand and portray to the readers.
On 12 January 2020, the World Health Organization (WHO) confirmed that a novel coronavirus was the cause of a respiratory illness in a cluster of people in Wuhan City, Hubei Province, China, which was reported to the WHO on 31 December 2019.
Overview 🎥 In this blog post, I will be reviewing an R package (How fun is that?), called covid19ViewerShiny, authored by Yuheng Cui, containing different functions, a dataset and a shiny application which depicts the COVID19 pandemic which is currently running rampant throughout the world.