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Dynamic Data Script
Canada
Registrace 15. 03. 2020
Dynamic Data Script is all about making programming available to everybody. We believe that everyone has their own learning style and providing video tutorials is our way to make knowledge more accessible. We dedicate this channel to everything R Programming like data science, machine learning, bioinformatics, data representation, web applications, performance optimization and more! Beginner or expert, we love sharing and exchanging, so let us know what you would like to learn next!
We're here to teach you something new or tickle your curiosity!
Cheers,
Max & Lilly
We're here to teach you something new or tickle your curiosity!
Cheers,
Max & Lilly
How to import data from Excel files to R | R Programming
Import spreadsheet data to R! In this tutorial for beginners, we show you how to save your Excel files or spreadsheets to csv and how to import them to dataframes in R.
📊 Now, how to analyze your data? czcams.com/video/rm0BQSWoJlc/video.html
🤔 Just getting started? czcams.com/video/BvKETZ6kr9Q/video.html
🧮 Data science with dplyr? czcams.com/video/27zCOiIWwhE/video.html
Follow Max on X: x.com/MaximeRivest
#R #Rprogramming #spreadsheet #excel #csv #RStudio #Rtutorial #RStats #DDS #DDSR
📊 Now, how to analyze your data? czcams.com/video/rm0BQSWoJlc/video.html
🤔 Just getting started? czcams.com/video/BvKETZ6kr9Q/video.html
🧮 Data science with dplyr? czcams.com/video/27zCOiIWwhE/video.html
Follow Max on X: x.com/MaximeRivest
#R #Rprogramming #spreadsheet #excel #csv #RStudio #Rtutorial #RStats #DDS #DDSR
zhlédnutí: 101 302
Video
How to download and install R and RStudio
zhlédnutí 141KPřed 3 lety
We are guiding you step by step in downloading and installing R and RStudio! R download: cran.r-project.org/bin/windows/base/ RStudio download: rstudio.com/products/rstudio/download/ 🤔 Just getting started? czcams.com/video/BvKETZ6kr9Q/video.html 🐌 Slow code? czcams.com/video/dhfM4xeHVHI/video.html 🧮 Data science with dplyr? czcams.com/video/27zCOiIWwhE/video.html Follow Max on X: x.com/MaximeR...
How to use SQL within R and some performance comparisons | R Programming
zhlédnutí 5KPřed 4 lety
There can be advantages of calling SQL from R. This Rstats tutorial shows you how to make use of RSQLite, and we also benchmark performance to dplyr and datatable to see if there is any speed difference! Subscribe to learn more about R and how you can make your code faster. 💿 00:00 Introduction and dataset 01:15 Setting up RSQLite 02:21 Translating R code to SQL 03:28 Benchmarking SQL vs dplyr ...
Python vs R: some performance comparisons | R Programming
zhlédnutí 3,5KPřed 4 lety
Calling Python from R is easy and is useful to access Python libraries. In this RStats tutorial, we show you how to set up a Python session within R and some tips for translating your code. We will also run similar algorithms in Python and R to see how they compare for speed! Subscribe to learn more about R and how you can make your code faster. 🐍 00:00 Introduction and dataset 01:45 1st approa...
Can Julia really make your R code faster?! | R Programming
zhlédnutí 4,7KPřed 4 lety
The fastest Julia algorithm was 30,249 times faster than the worst R! Check out how the others approaches compare! Calling other languages in your R programming code is easy. In this tutorial, we made use of Julia programming language directly in R to see if it could accelerate our code. We contrast 5 different algorithms and talk about when you should (or should not!) use them. Subscribe to le...
Make your R code 18,878 times faster! (Abridged) | R Programming
zhlédnutí 6KPřed 4 lety
Walkthrough on achieving this! Optimizing your code for performance can mean waiting a few minutes instead of days for your code to run. For loops, dataframes, lists, linear algebra, dplyr package and datatable package are all compared. In the abridged version of this RStats tutorial, we conceptually compare and give you tricks for the different approaches. Check out the channel for the unabrid...
Make your R code 18,878 times faster! (Unabridged) | R Programming
zhlédnutí 3,7KPřed 4 lety
We show you exactly how we achieved this! Optimizing your code for performance can mean waiting a few minutes instead of days for your code to run. For loops, dataframes, lists, linear algebra, dplyr package and datatable package are all compared. In this detailed version of the tutorial, we will manipulate the same data in 6 different ways and demonstrate how and why these algorithms differ so...
Welcome to Dynamic Data Script!
zhlédnutí 9KPřed 4 lety
At Dynamic Data Script, we want to make programming accessible to everybody! Starting with the well-known dplyr package, we dedicate this channel to everything R Programming. Subscribe for new videos that can teach you something new or tickle your curiosity! Let us know in the comments what you would like to learn about next! DDS R performance playlist 🏎️ czcams.com/play/PLyogaPCPr32UaTp-9Fsj4t...
dplyr intro | Data manipulation in R
zhlédnutí 10KPřed 4 lety
A complete conceptual overview of the dplyr package! Why do we use dplyr? What is the tidyverse? How to learn how to use the dplyr package? What are select, filter, mutate, arrange, summarise and group_by? How and when to use these functions? How can they be used in conjunction? What is the pipe operator and how to use it? Plus, resources for tutorials and cheatsheets! This tutorial introduces ...
dplyr tutorial | A quick guide to using dplyr in the wild
zhlédnutí 12KPřed 4 lety
Learn dplyr by example with lions! This dplyr tutorial gives you a complete workflow of data wrangling using the R programming package dplyr. Great starting course for beginners to understand the basics! We go over and integrate the 6 verbs: group_by, arrange, filter, select, mutate and summarize. Dplyr is an essential tool in RStats for data science! Ask us questions in the comments and subscr...
dplyr::arrange() | How to use dplyr arrange function | R Programming
zhlédnutí 5KPřed 4 lety
This R programming tutorial gives you a small course on the basics of the arrange function from the dplyr package including how to arrange by a single variable, how to arrange by several variables and how to integrate arrange with the group by function (group_by) from the same package. Dplyr is an essential tool in RStats for data science! Subscribe for more like this! 🏎️ R performance playlist...
dplyr::summarize() | How to use dplyr summarise function | R Programming
zhlédnutí 11KPřed 4 lety
This R programming tutorial gives you a small course on the basics of the summarise function from the dplyr package including how to summarise a single variable, how to summarise several variables at once and how to integrate summarise with the group by function (group_by) from the same package. Here, summarize() and summarise() are synonyms; you can use either! Dplyr is an essential tool in RS...
dplyr::mutate() | How to use dplyr mutate function | R Programming
zhlédnutí 14KPřed 4 lety
In this R programming tutorial, we give you a small course on the basics of the mutate function from the dplyr package. We cover adding a single column, adding multiple columns and its use in conjunction with the group by function (group_by) from the same package. Dplyr is an essential tool in RStats for data science! Stay tuned for more like this! #R #dplyr #Rtutorial #Rprogramming #tidyverse ...
dplyr::group_by() | How to use dplyr group by function | R Programming
zhlédnutí 44KPřed 4 lety
In this R programming tutorial, we give you a small course on the basics of the group_by function from the dplyr package. We cover simple grouping, grouping by condition, how to group by multiple columns and ungrouping (ungroup). Dplyr is an essential tool in RStats for data science! Stay tuned for more like this! 🏎️ R performance playlist czcams.com/play/PLyogaPCPr32UaTp-9Fsj4tb_aIcAQ3jKb.html...
dplyr::filter() | How to use dplyr filter function | R Programming
zhlédnutí 7KPřed 4 lety
In this R programming tutorial, we give you a small course on the basics of the filter function of the dplyr package. Dplyr is an essential tool in RStats for data science! Like the video for more like this! 🏎️ R performance playlist czcams.com/play/PLyogaPCPr32UaTp-9Fsj4tb_aIcAQ3jKb.html 🧮 dplyr playlist czcams.com/play/PLyogaPCPr32W9wbszOANRJiAvUbbymcCS.html #R #dplyr #Rtutorial #Rprogramming...
dplyr::select() | How to use dplyr select function | R Programming
zhlédnutí 8KPřed 4 lety
dplyr::select() | How to use dplyr select function | R Programming
R Programming for Beginners | Complete Tutorial | R & RStudio
zhlédnutí 715KPřed 4 lety
R Programming for Beginners | Complete Tutorial | R & RStudio
I just started my graduate degree in data analytics and am going through the introduction for R so thank you for this tutorial. I am now a subscriber.
Thanks Sir
Your file properties has export into R why is that
Thank you mwalimu
Then we have Power BI
This is a great tutorial, however is Excel more effective and simplified.
i really didn't understand it, hhh, That's because I'm a begginer, not your fault,,
R is not beginner friendly. The error codes don't make sense. You'd need a damn book for this.
Thank you so much
Thank you! : ))
I loved the last part of the video ❤
Best teacher for R. I have gone from video to video not understanding anything, and the explanations in this video make my life so much easier because now I understand where things are coming from. Thank, you, thank you, thank you.
Thank you so much for your very detailed, easy-to-understand tutorial. It's highly appreciated!
Change the background color
Dream from wish...
I really like tghis so far.
Thank you!
🎯 Key Takeaways for quick navigation: 00:00 📊 *Introduction to uploading Excel data into R* 00:15 📑 *Using Open Spreadsheet for universal accessibility* 00:28 🧹 *Importance of cleaning up the spreadsheet before uploading* 00:55 💾 *Saving the file in a simple text format, preferably CSV* 01:25 ⚠️ *Reminder about losing functionalities when saving in CSV format* 02:09 🔄 *Switching between CSV and XLSX formats for different purposes* 02:39 🖥️ *Opening the saved CSV in R- **02:52** 🗂️ Understanding the CSV format in RStudio* 03:05 📁 *Locating and specifying the file path in R* 03:33 🔙 *Handling backslashes in file paths for Windows in R* 04:13 📊 *Reading and displaying the data from CSV in R* 04:29 🔄 *Converting the CSV data into a data frame in R* 04:54 🛠️ *Adjusting CSV reading options like header and separators in R* 05:50 🧬 *Understanding the 'strings as factors' parameter in R* 06:17 📈 *Behavior of strings in different versions of R* Made with HARPA AI
Thank you for your carefully recorded video. Please, what software did you use for this production?
Banger mi güero. Sencillito
Thank you G. I was really stuck in the Google analytics certification
Wonderfull vlass, I understand tour english Daily, my english is not Google Thanks I enjoy York class.!!😂🎉🇦🇷🦋
I was struggling with the library error, thanks a lot <3
A nice tutor. Thank you.
whenever I try to copy and paste the path file into read_excel, i get an "error: `path` does not exist". Does anyone know why this happens??
Same
Have you set your working directory ?
The help is not of real help unless you know the exact right name of what you are looking up. Per his example of "abs" , unless you know that phrase you can't effectively look it up. There's a hundred alternative of "abs" that could have been used by the namers for that function.. If you already know "abs" chances are you already know what it does and don't need to look it up. The is same problem with linux "man" pages, I.e., unless you know exactly what you are looking for you can't look it up.
Many of my friends like to watching your videos Even the guys who not in trading theme)
Thank u for this Managed to find away to accurately load xlsb files in r?
You guys are after my life 🥵🥵🥵🥵🥵🥵🥵🥵🥵🥵🥵🥵
Why do we need to download R when we download rstudio? I thought rstudio already includes its own copy of R in it.
Thanks! You are the best you make me pass the univercity, hi from colombia
Newbie here - have been attempting to import spreadsheets into R Studio using the read.csv function (I right-click to get the file path, copy and paste, convert the single back-slash to a double, and STILL getting error message. I've tried different methods too, like making sure to install and load tidyverse and here, then starting the read.csv function with a DF <- or d <-. Any thoughts would be appreciated.
hello, I've just started to learn R . But I am facing an issue. I am unabe to open it after downloading it . Everytime I try to open it they say that this is not a microsoft verified app . Please help me so that I can start learning this.
omg thank you alot
Thanks for the video, it was seamless installing it.
Thanks so much for making it quite easy to walk through.
This is not for beginners
Muy bonito, no entendí un carajo del lenguaje, pero con lo que vi en pantalla, aprendí demasiado. Muchas gracias joven blanco angloparlate. Su clase fue muy enriquecedora. Le dejo un me gusta y estoy pensando en suscribirme muy seriamente.
Super intro. Thanks
Good Tutorial. 1 question though...the variables are not being displayed in my Global Environment...What could be the issue? Is there a difference btw pressing 'Enter' or 'Ctrl Enter' after an assignment?
Thank you. Here is a similar video from CZcams at czcams.com/video/1msaYAElhW8/video.html
ជំរាបសួរ 0:37 0:38
You are awesome 😊 thanks for giving practical tips in optimizing R code
Finally! I was looking exactly for an introduction to basic R features and all I found before reaching to this video was complex data science and statistical programming. Thank buddy, keep going!
Great video
Thanks! Clear and concise. New subscriber.
What is the name if this theme and how can I download it? it is very nice I like how if there's a mistake in the code it shows a little red cross next to the code
Thanks man, it helps alot
btw julia does not use c implementations for any operations
everything clear except for the packages part