ChatGPT: How I Made An R Shiny App In Under 10 Minutes

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Hey guys! Welcome back to my R-Tips Newsletter. Today's video is about ChatGPT and how it can be used to make a full-blown shiny app in under 10 minutes. In "ChatGPT: How I Made A Shiny App In Under 10 Minutes", I'll share some super cool tips and tricks to help you progressively build shiny apps with natural language ChatGPT prompts. This will speed up your shiny build workflows. Mine went from over 1 hour to under 10 minutes using chatgpt!

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#chatgpt #r #shiny
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ChatGPT is insane, please do more videos on how data scientists can utilise this beast to its fullest extent 😎

method
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oh my god, you are crazy good at this.
how long have you been learning and working in the data field sir? every video you bring more technique and skills to perform a task. I am a beginner in R and I'm glad I found your channel!

IarukaSkYouk
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Sir! Thank you so much for all the content and great tools that you bring to the community.
Speaking for myself, I'm a statistics and data science major at uni and will be taking my masters in statistics and data analytics come next summer. With your teachings it seems certain that I would make a great impression on my first day and throughout my career. I'm sure there is a whole crowd of students following you whom cannot afford the educational packages.
Are you planning on releasing a lower-fee version aimed at students??
Think about the possible gains in organic growth in the long term from having a crowd of loyal new graduates trailblazing through the industry - everyone asking how they did it and your name being the answer to that question.
Seems pretty sweet if you ask me.

vidbot
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I have found the business science channel!

josephdaquila
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Hello Matt, it seems data scientists in small-medium businesses are in charge of end to end data science and this could involve database development. Do you think setting up something like SQL Server (MS) is overkill for most SMEs? Any advice on this side of data science because I feel it's so important and most people seem to take data acquisition and storage for granted.

method