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CODE TILL I DIE This is our discussion group https://t.me/+xRx6N_FiYkVjMWJk Anyone who wants to send a personal message to the admin can use this link https://AnoMessBot.t.me?start=MPC8wgk Boost https://t.me/boost/code_it_now

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Gd morning

Gd night šŸ™ŒšŸ˜

Hey there šŸ‘‹ As you know, įŠ įˆįŠ• į‰ įˆµį‹Šį‹µįŠ• įŠ„į‹ØįŠ–įˆ­įŠ© įŠį‹į¢ The IT industry įŠ„į‹šįˆ… į‰ įŒ£įˆ developed įŠį‹į£ įŠ„įŠ“įˆ į‰ į‹šįˆ… sector į‹«įˆˆį‹įŠ• opportunity į‰ į‹°įŠ•į‰„ įˆˆįˆ›į‹Øį‰µ į‰½į‹«įˆˆįˆį¢ į‰ įŠ įˆįŠ‘ į‹ˆį‰…į‰µ į‰ įˆµį‹Šį‹µįŠ• company registration process įˆ‹į‹­ įŠįŠį£ įŠ„įŠ•į‹²įˆįˆ strong business partners įŠ„į‹«įŒˆįŠ˜įˆ įŠį‹į¢ My main vision į‹«įŒˆįŠ˜įˆį‰µįŠ• knowledge, experience įŠ„įŠ•į‹²įˆįˆ į‹Øįˆµįˆ« įŠ„į‹µįˆ į‹ˆį‹° įŠ¢į‰µį‹®įŒµį‹« įŠ įˆįŒ„į‰¼į£ įŠØįŠ“įŠ•į‰° įŒ‹įˆ­ į‰ įˆ˜į‰°į‰£į‰ įˆ­ modern IT company įˆ˜įˆ˜įˆµįˆØį‰µ įŠį‹į¢ If you're interested to join this journey reach out įŠ į‹µįˆ­įŒ‰įŠį¢ įŠ„į‹«įŠ•į‹³įŠ•į‹³į‰½įˆ į‹«įˆ‹į‰½įˆįŠ• skillsį£ experience įŠ„įŠ“ innovative ideas įŠ įŠ•į‹µ įˆ‹į‹­ į‰ įˆ›į‹µįˆØįŒ we can build great companyį¢ Let's work together įŠ„įŠ“ į‹­įˆ…įŠ•įŠ• dream company įŠ„į‹įŠ• įŠ„įŠ“į‹µįˆ­įŒˆį‹! Looking forward to your responses.

Basic Syntax: Here are some basic examples of R syntax: 1. Creating a Vector:   
   my_vector <- c(1, 2, 3, 4, 5)
   
2. Data Frame Creation:   
   my_data <- data.frame(
       Name = c("Alice", "Bob", "Charlie"),
       Age = c(25, 30, 35)
   )
   
3. Basic Plotting:   
   plot(my_data$Age, main="Age Plot", xlab="Index", ylab="Age", col="blue")
   
4. Using ggplot2 for Advanced Visualization:   
   library(ggplot2)
   ggplot(my_data, aes(x=Name, y=Age)) + geom_bar(stat="identity")
   
5. Statistical Modeling:   
   model <- lm(Age ~ Name, data=my_data)
   summary(model)
  

Key Features of R: 1. Statistical Analysis: R provides a wide range of statistical techniques, including linear and nonlinear modeling, time-series analysis, classification, clustering, and more. 2. Data Visualization: R has strong graphical capabilities, allowing users to create high-quality plots and visualizations. Libraries like ggplot2 are popular for creating complex graphics. 3. Data Manipulation: Packages like dplyr and tidyr make it easy to manipulate and clean data, transforming it into a format suitable for analysis. 4. Extensive Package Ecosystem: R has a rich ecosystem of packages available through CRAN (Comprehensive R Archive Network), Bioconductor (for bioinformatics), and GitHub. 5. Open Source: R is free to use and has a large community of users who contribute to its development and provide support. 6. Integration with Other Languages: R can be integrated with other programming languages like C++, Python, and Java, allowing for more complex applications. 7. Reproducible Research: Tools like R Markdown allow users to create dynamic reports that combine code, output, and narrative text, promoting reproducibility in research.

R is a programming language and environment primarily used for statistical computing, data analysis, and graphical representation. It is widely used among statisticians, data scientists, and researchers for its powerful data manipulation capabilities and extensive libraries.

Do u know R programming language
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R Programming – R Programming Language Beginners to Pro https://coursecouponclub.com/matplotlib-for-python-developers-beginners/ @code_it_now

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Deemmm 151321 view with in 10 monthšŸ˜Ž this is insane 😁😁 #telemetrio2024 @code_it_now
Deemmm 151321 view with in 10 monthšŸ˜Ž this is insane 😁😁 #telemetrio2024 @code_it_now

I haven't seen any campus so far which is why I said 4k.

specially AAU 4K

įŠ įŠ•į‹³įŠ•į‹“ įŒįŠ• į‹ØįŒį‰¢ įˆ½įŠ•į‰µ ቤት įˆ‹į‹­ įŠ„įŠ•į‹“į‰µ į‰¢įŒ į‰€įˆ™ įŠį‹‰ įŠ„įŠ•į‹°į‹š įˆšį‹«į‰ įˆ‹įˆ¹į‰µ 😫😫

It says a lot

Humanity cries here😣😣
Humanity cries here😣😣

Squid Game Season 2 now streaming on Netflix with 7 Episodes🄳🄳🄳