Clean your data with R. R programming for beginners.

If you are a R programming beginner, this video is for you. In it Dr Greg Martin shows you in a step by step manner how to clean you dataset before doing any additional analysis. This is part of a series that considers exploring data, cleaning data, manipulating (or wrangling) data, describing data, visualizing data and finally, analyzing data. The tutorial uses data built into R so you can replicate the work on your computer at home. Dr Martin uses the Tidyverse packages that allows for additional functions like select, filter, mutate etc. This tutorial also deals with missing data. So if you are a data scientist, or interested in quantitative analysis or research, this this is a good video to start with.

[GFXHDTV]

00:01 Cleaning your data involves systematic exploration, cleaning, manipulation, visualization, and analysis.
01:44 Installing packages in R expands functionality.
05:31 Converting character variable to factor variable in R
07:31 Using the factor function to swap levels in R
11:11 Understanding the difference between 'or' and 'and' in filtering data.
13:03 Handling missing data is crucial for accurate analysis.
17:02 Understanding how to handle missing values in data sets is crucial for data cleaning in R.
18:49 Handle missing data with nuanced approach, not just sweeping deletion
22:16 Identify and handle duplicates in data frames
24:04 Selecting and filtering data using base R method

[harrisonnash]

Life saver using this vidoe in a last min dash to finish some coursework

[Shawn-gmcf]

Honestly love all your videos. Detailed explanation and yet simple and straightforward. Keep up the great work.

[elliebrown]

Thank you so much for creating so much accessible and engaging content. For a beginner the way you teach is very clear and easy to understand and your passion for R has made me love it even more! (I also appreciate being hyped up for learning by some drum and bass in the intro)

[nonoobott]

Your tutorials are unarguably the most explicit and practical for the use of R. Beyond using R as a tool, you explain a lot of statistical concepts. Thanks for all you do, I've learned a lot from your channel

[max]

We really appreciate your best YouTube channel for learning R we looking forward to see more especially for survival analysis, parametric and non parametric tests

[bnhdqhc]

Incredible channel, the material is better than any course I have paid for. The delivery and the breakdown of topics into separate videos are perfect for learning. Thank you for sharing your expertise and time.

[GallantDanny]

Excellent! Thanks for putting out such great content that's not only useful, but easy to follow!

[antonreinhold]

Thank you so much, you're such a huge help! I dont think i would pass my 'digital data analysis' course without your channel

[johnrussell]

I do love your enthusiasm Greg, it really keeps me interested in watching through to the end!

[domyndegeya]

Thank you so much Dr Martin. As a beginner, the way you explain the R programming makes me loving that language more and easy to deal with coding. Keep up with more great videos.

[HiltonT]

Very clear, useful and interesting. I'm just getting into R and this helped me understand how it can be used for sensible data cleaning.

[KarstenDrKempf]

Very helpful. the perfect mixture between the background ideas ( what data to dismiss) and the R way to do so.
Hope to see more videos.
Enjoy X-mas

[danquixote]

Very useful thank you - especially the section on NAs and recoding. Also appreciate the editing, effects, sound quality and close ups of the code. I’ve recently been using the star wars database for my English teaching lessons to help students with the interrogative. How tall is R2D2? How much does Darth Vader weigh? Etc. One request if possible - Times, Dates and TimeDates. Thank you again, your videos have been very helpful.

[Junecode]

Thanks for the lessons so far. Love it

[annleonard]

This is brilliant, I am on my third video and I am amazed at how easy this is made to seem👏

[itsmitasha]

Amazing tutorial!! Thank you so much! ⭐️⭐️⭐️⭐️⭐️

[yamimartina]

Hi there, Greg! Thanks a lot for these videos, love your style. I've learned A LOT!

[emiliezeuthen]

Very useful Greg, such a big help for at R-n00b

[deniseortiz]

Out of all the online classes and videos I have done, I WISH I STARTED WITH THIS ONE!! Thank you!