Name: R Shiny Applications in Finance, Medicine, Pharma and Education Industry
Start: 2023-01-13T18:00:00+01:00
End: 2023-01-13T19:00:00+01:00

We are delighted to invite you to our next meetup. We will be organizing a new meetup about the book R Shiny Applications in Finance, Medicine, Pharma and Education Industry

Date/Time: Friday, January, 13th 2023 from 6 PM to 7 PM (CET)
Place: Zoom
▶️ Invited trainer: Loan Kim Robinson

▶️ About the talk:
Loan will be presenting her book R Shiny Applications in Finance, Medicine, Pharma and Education Industry

About this book :
R Shiny Application is a structure for making web applications utilizing R code. It is planned fundamentally considering information researchers, and keeping that in mind, you can make pretty confounded Shiny applications with no knowledge about HTML, CSS, or JavaScript. Then again, Shiny doesn’t restrict you to making insignificant or pre-assembled applications: its UI segments can be handily modified or expanded, and its worker utilizes responsive programming to allow you to make any sort of back-end rationale you need. R Shiny is intended to feel mystically simple when you’re beginning, but then the further you get into how it functions, the more you understand it’s worked out of broad structure obstructs that have solid programming standards behind them.
R Shiny Application is utilized in nearly however many specialties and ventures as R itself is. It’s utilized in scholarly world as a showing device for measurable ideas, an approach to get students camped up for figuring out how to compose code, a sensational mode for flaunting novel factual techniques or models. It’s utilized by huge pharma organizations to speed cooperation among researchers and examiners during drug improvement. It utilizes real-time measurement dashboards that fuse progressed investigation.

We look forward to welcoming you!

R-Ladies Tunis

R-Ladies

Technology

Open Source

Web Design

Software Development

New Technology

Internet Professionals

Web Technology

Web Development

Computer Programming

Loan Kim Robinson [https://loankimrobinson.com](https://loankimrobinson.com/) is a Scientific Research Specialist at Bristol Myers Sqibb [https://www.bms.com](https://www.bms.com/). BMS is one of the largest biotech companies in the world. She held a master’s degree from San Diego State University’s Department of Statistics. She is interested in interactive statistical graphics, statistical computing and modeling. She is a highly analytical and solution-oriented professional with 7+ years of demonstrated success in statistical analysis and presentation, hands-on experience working with patient, biotechnology, and pharmaceutical drug data. She is successful in driving best-in-class visualization and reporting, as well as, explaining statistical methods to non-statistical people that results in effective understanding, cost savings, and efficiency. She also has experience with working across different levels of leadership to leverage statistical testing, business intelligence, and data- driven analytics. Her favorite programming languages are R and Python, she developed many R shiny applications at her previous and current work. You can find all of her applications for her book here [https://kimloanrobinson.shinyapps.io/r_shiny_book_web/](https://kimloanrobinson.shinyapps.io/r_shiny_book_web/) She was born in Ho Chi Minh City, Vietnam, and emigrated to the United States in 2008 with a mere 3 dollars in her pocket, barely enough to buy a sandwich. She is the embodiment of tenacity and determination, having overcome untold obstacles and struggles with incredible perseverance. 7 years later, she earned her MS in Statistics. From there, she worked tirelessly and passionately to become an expert in various fields of Statistics, Mathematics, Business Intelligence and Data Science to achieve her dream that few, with far more advantages, could ever hope to achieve.

Loan Kim Robinson

R Shiny Applications in Finance, Medicine, Pharma and Education Industry

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R-Ladies Tunis

R Shiny Applications in Finance, Medicine, Pharma and Education Industry

R-Ladies Tunis

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