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Apr 21 • 10 tweets • 6 min read Twitter logo

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1/ 🧪 Advanced Shiny App Development: Tips for Creating Engaging, Scalable, and Robust Apps 🌐 Dive into this thread to learn how to build powerful, interactive web apps with Shiny! We'll cover advanced features, optimization, and deployment. #rstats #datascience #ShinyApps

2/ 🎛️ Advanced Features: Enhance your Shiny apps with:
•Custom input controls and UI elements
•Dynamic UI generation with renderUI()
•Incorporating JavaScript and CSS for added interactivity and styling
•Integrating with APIs for external data
#rstats #datascience

3/ 🚀 Optimization: Improve app's performance and responsiveness by:
•Using reactive programming for efficient data manipulation
•Profiling and benchmarking with profvis
•Caching data and results to reduce computation time
•Employing async and future for nonblocking tasks

4/ 📊 Integration: Combine your Shiny app with other tools and packages for more versatility:
•Embedding Shiny apps in R Markdown documents
•Utilizing ggplot2, plotly, or highcharter for interactive visualizations
•Connecting with databases for real-time data updates

5/ 🧪 Testing and Debugging: Ensure your app is bug-free and reliable with:
•Debugging tools like browser(), debug(), and shiny::reactlog()
•Shinytest for automated testing of app functionality
•shinyloadtest for load testing and scalability #rstats #datascience

6/ 🎨 Custom Themes: Personalize your Shiny app's appearance by:
•Using shinythemes or bslib for predefined themes
•Customizing Bootstrap themes with Sass
•Creating your own CSS stylesheets for complete control #rstats #datascience

7/ 🌐 Deployment: Share your Shiny app with the world using:
•Shiny Server or Shiny Server Pro for self-hosting
•RStudio Connect for secure, scalable deployments
•shinyapps.io for easy, cloud-based hosting #rstats #datascience

8/ 🔒 Security: Protect your app and users by:
•Implementing authentication and user management
•Sanitizing user input to prevent code injection
•Utilizing HTTPS and secure connections #rstats #datascience

9/ 📚 Resources: Learn more about advanced Shiny app development with these books and articles:
•"Mastering Shiny" by Hadley Wickham
•"Web Application Development with R Using Shiny" by Chris Beeley
•"Engineering Production-Grade Shiny Apps" by Colin Fay et al. #rstats

10/ 🎉 In conclusion, mastering advanced Shiny app development techniques will help you create engaging, scalable, and robust web applications. Explore these tips and best practices to take your Shiny skills to the next level! #rstats #AdvancedR #ShinyApps #DataScience

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Apr 23

1/🧵✨Occam's razor is a principle that states that the simplest explanation is often the best one. But did you know that it can also be applied to statistics? Let's dive into how Occam's razor helps us make better decisions in data analysis. #OccamsRazor #Statistics #DataScience

2/ 📏 Occam's razor is based on the idea of "parsimony" - the preference for simpler solutions. In statistics, this means choosing models that are less complex but still accurate in predicting outcomes. #Simplicity #DataScience

3/ 📊 Overfitting is a common problem in statistics, where a model becomes too complex and captures noise rather than the underlying trend. Occam's razor helps us avoid overfitting by prioritizing simpler models with fewer parameters. #Overfitting #ModelSelection #DataScience

Read 6 tweets

Twitter author

Apr 22

🧵1/10 - Law of Large Numbers (LLN) in R 📈

Hello #Rstats community! Today, we're going to explore the Law of Large Numbers (LLN), a fundamental concept in probability theory, and how to demonstrate it using R. Get ready for some code! 🚀

#Probability #Statistics #DataScience

🧵2/10 - What is LLN? 🧐

LLN states that as the number of trials (n) in a random experiment increases, the average of the outcomes converges to the expected value. In other words, the more we repeat an experiment, the closer we get to the true probability.

#RStats #DataScience

🧵3/10 - Coin Flip Example 🪙

Imagine flipping a fair coin. The probability of getting heads (H) is 0.5. As we increase the number of flips, the proportion of H should approach 0.5. Let's see this in action with R!

#RStats #DataScience

Read 11 tweets

Twitter author

Apr 22

1/🧵 Welcome to this thread on the Central Limit Theorem (CLT), a key concept in statistics! We'll cover what the CLT is, why it's essential, and how to demonstrate it using R. Grab a cup of coffee and let's dive in! ☕️ #statistics #datascience #rstats

2/📚 The Central Limit Theorem states that the distribution of sample means approaches a normal distribution as the sample size (n) increases, given that the population has a finite mean and variance. It's a cornerstone of inferential statistics! #CLT #DataScience #RStats

3/🔑 Why is the CLT important? It allows us to make inferences about population parameters using sample data. Since many statistical tests assume normality, CLT gives us the foundation to apply those tests even when the underlying population is not normally distributed. #RStats

Read 12 tweets

Twitter author

Apr 22

[1/11] 🚀 Level Up Your R Machine Learning Skills with These Lesser-Known #RPackages! In this thread, we'll explore 10 hidden gems that can help you optimize your #MachineLearning workflows in R. Let's dive in! 🌊 #rstats #datascience

[2/11] 📊 caretEnsemble: Model ensembling with caret - Combine multiple models with ease and boost your model performance using this powerful package. #rstats #datascience #machinelearning
🔗 cran.r-project.org/web/packages/c…

[3/11] 📈 finalfit: Create regression model tables - Quickly generate publication-ready tables for regression models with #finalfit. Simplify reporting and communication of your results! #rstats #datascience #machinelearning
🔗 cran.r-project.org/web/packages/f…

Read 12 tweets

Twitter author

Apr 22

1/ 💼 R in Production: Deploying and Maintaining R Applications 🏭 Learn how to deploy, monitor, and maintain R applications in production environments for robust, real-world solutions. #rstats #AdvancedR #DataScience

2/ 🌐 Web Apps: Deploy interactive web applications with Shiny:
•Shiny Server or Shiny Server Pro for self-hosted solutions
•RStudio Connect for an integrated platform
•shinyapps.io for hosting on RStudio's servers
#rstats #AdvancedR #DataScience

3/ 📦 R APIs: Create and deploy RESTful APIs using R with:
•plumber for building, testing, and deploying APIs
•OpenCPU for creating scalable, stateless APIs
•RStudio Connect for hosting and managing your APIs
#rstats #AdvancedR #DataScience

Read 10 tweets

Twitter author

Apr 22

1/ 🌐 Web Scraping and Text Mining in R: Unlocking Insights 🔍 Learn advanced web scraping techniques and text mining tools to extract valuable insights from online data. #rstats #AdvancedR #TextMining #DataScience

2/ 🕸️ Web Scraping: Extract data from websites using powerful R tools:
•rvest for HTML scraping and parsing
•httr for managing HTTP requests
•xml2 for handling XML and XPath queries
•RSelenium for scraping dynamic web content
#rstats #datascience #AdvancedR

3/🧪 Advanced Web Scraping Techniques: Go beyond basic scraping with:
•Setting up custom headers and cookies with httr
•Handling pagination and infinite scrolling
•Throttling requests to avoid getting blocked
•Using proxy servers to bypass restrictions
#rstats #AdvancedR

Read 10 tweets

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