Tweet

How to get URL link on Twitter App

On the Twitter thread, click on or icon on the bottom
Click again on or Share Via icon
Click on Copy Link to Tweet
Paste it above and click "Unroll Thread"!
More info at Twitter Help

Twitter author

@unknown

Apr 21 • 8 tweets • 7 min read Twitter logo

Read on Twitter

1/ 📊 Advanced Data Visualization in R: ggplot2 and Beyond 🎨 Take your data storytelling to the next level! In this thread, we'll explore advanced techniques for creating beautiful, informative, and interactive visualizations in R. #rstats #AdvancedR #DataViz #DataScience

2/ 🎨 ggplot2: Enhance your ggplot2 graphics with:
•Custom themes and color palettes
•Faceting for small multiples
•Adding annotations and labels with ggrepel
•Incorporating custom geoms and stats
•ggplotly for interactive ggplot2 graphs
#Rstats #DataScience #DataViz

3/ 🌐 Interactive Visualization: Create engaging, interactive visuals using:
•plotly for interactive charts and graphs
•highcharter for Highcharts-based visualizations
•leaflet for interactive maps
•dygraphs for time series data

#Rstats #DataScience #DataViz #AdvancedR

4/ 📈 Specialized Visualization Packages: Cater to specific visualization needs with:
•ggmap for geospatial data and map integration
•ggraph for network graphs and tree structures
•ggforce for additional geoms, stats, and more
•gganimate for animated plots
#RStats

5/ 🎛️ Dashboarding: Build interactive, web-based dashboards using:
•Shiny for creating reactive web applications
•flexdashboard for easy-to-build static dashboards
•shinydashboard for a polished, responsive layout
#RStats #DataScience #DataViz #AdvancedR

6/ 🎨 Custom Visualizations: Create your own visualization tools and packages by:
•Extending ggplot2 with custom geoms and stats
•Developing HTML widgets for interactive content
•Leveraging JavaScript libraries like D3.js
#RStats #DataScience #DataViz #AdvancedR

7/ 📚 Resources: Check out these books and chapters to learn more about advanced data viz in R:
•"Data Visualization with ggplot2" by Hadley Wickham
•"Interactive Data Visualization for the Web" by Scott Murray
•"Data Visualization: A Practical Introduction" by Kieran Healy

8/ 🎉 In conclusion, advanced data visualization techniques in R can help you create stunning, informative, and interactive graphics. Explore these methods to elevate your data storytelling skills and bring your visualizations to life! #rstats #AdvancedR #DataViz #DataScience

• • •

Missing some Tweet in this thread? You can try to force a refresh

This Thread may be Removed Anytime!

Twitter may remove this content at anytime! Save it as PDF for later use!

More from @

Twitter author

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

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Share this page!

Enter Twitter Thread URL to Unroll

Twitter author

People who liked this thread also liked...

Try unrolling a thread yourself!

More from @

Twitter author

Twitter author

Twitter author

Twitter author

Twitter author

Twitter author

Did Thread Reader help you today?

Don't want to be a Premium member but still want to support us?

Send Email!