Explore your data using R programming

When doing data analysis, you need to start with a good understanding of you data. To explore your data, R has some fantastic and easy to use functions. In this video I take you through the process of exploring dataset and understanding its various characteristics and dimensions using data that you can access on your computer. This is an R programming for beginners video. It is for people interested in data science, statistics, r programming, quantitative analysis and research in general. I use the tidyverse to do my data exploration. That includes ggplot, dplyr and other packages. I also work in R-Studio.

[chriskerr]

Just started Learning R Programming and your videos are some of the best and easiest to follow. Keep up the great work!

[ilhemdjenane]

Just started learning R, I love how you simplify things to make them make sense. Thank you

[christianjimenez]

Please, please keep making these videos. It is crucial for us data analyst who are just getting started and would like to continue expanding our knowledge. I would even donate if you had a patreon

[gianluca.pastorelli]

Your videos are simply great! I feel I've become a bit more proficient with R also thanks to you. I recently started to do some PCA on my datasets and I'm wondering if you could give an introduction to multivariate analysis with R in your next videos. Keep up the good work 👍

[darkcloud]

Honestly, I've never done anything in R before, just started randomly watching this video. I understood EVERYTHING! Just amazing, definitely subscribed.

[rupeshingle]

the way of your teaching is "THE BEST "
Thanks for giving the best information

[Tyriion]

I did not know learning R could be so much fun! Thank you for this great video

[yamaahmady]

Thank you, Dr Greg. Very useful content and very nicely explained. I had almost given up on R, but your videos reignited the passion for learning it.

[kunststoffjunkie]

Wow thank you so much for this! You have taken away my fear of using this program, with this video I broke through a WALL that was in between me and my data analysis. Very clear way of explaining things as compared to other videos.

[monicabn]

Thank you for these kind of content, someone who is learning via internet… I salute you 😊

[Junecode]

Great to see the level of detail to learn R here. You are so right about cut and paste 🙂

[ClaudiaMartinez-jkmj]

Omg love your videos just finished a r training and feel i have learnt so much from jus 3 or ur videos.. 💛💛💛💛💛

[melissahirst]

This is so helpful, thank you so much! I am on the capstone project for Coursera analytics 8 part course and I am SO LOST lol. I know exactly what I want to see, but throughout the course there was only 1 module on "R" and many bookmarks were noted. But the commands are not organized so it takes hours to see what code is necessary to clean something or narrow the data that you are looking for. I think that I chose a project that has an overwhelming amount of data... and it has my Kaggle freaking out lol... I WAS going to use RStudio but I was having trouble importing the datasets that I needed so I figured that if I could just code in Kaggle; and that was the platform that I was going to showcase the project on (AND that is where I found the datasets that I am using) I might as well just run the code there.. but it is taking months lol.

[josecastro]

Thank you for making these videos, it must take a lot of your time in preparation and editing. Cheers from Scotland.

[srishtitripathi]

I am a beginner in R and I found your videos are the best. Very helpful, thank you so much.

[mohamedfarag]

Well done for the fantastic lectures that make life with R easier

[TakeFlow]

Thank you for these tutorials! So far, your channel is the best one I've found to start learning R.
Keep up the good work! We appreciate it!

[DingDongGrahamBell]

Thank YOU so much! I've learned a lot about R functions. I will be watching the rest of your video tutorial. Thank YOU, Professor!

[goodmanshawnhuang]

Great work! It re-ignited my passion for R. Thanks a lot!

[seanmccandless]

Great video for someone about to move into a position scoping data visualization using the R Suite of applications.