Descriptive statistics and data visualisation. An introduction to statistics and working with data

Descriptive statistics is all about describing you data. To do this we firstly describe the spread of the data using the range and interquartile range. Then we might look at the central tendency of the data using the mean, median and mode. We might also describe the variability using the standard deviation and variance. And of course we want to visualise the data using graphs and plots. Selecting the right plot and graph might seem difficult but it is really quite easy when you think about the two most important types of variables. Categorical variables and numeric variables. A single categorical variable is usually represented with a bar chart or bar plot. A single numerical variable is visualised with a histogram or box plot (or boxplot). For two numerics we use a scatter plot and and so on. This video will talk you through all of the combinations of variables, and how to create graphics that really talk to your audience. If you're interested in data science and quantitative analysis, then this video is for you. If you are a beginner and want to learn about statistics and how to work with data, then you'll love this video. This video is good for those learning data science but also anyone wanting to learn about research methods for a masters degree of a PHD. Research methodology can be difficult but this video will make it easy.

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Twitter: @drgregmartin

[Bkamron]

Honestly wish these videos were around when I did Biostatistics, turns out then the second time's the charm. These videos make all the concepts lecturers struggled to present seem so simple. It's after my first attempt at Biostatistics I realized that it was essentially very simple, on my second go I realized that math was so simple, it's how the concepts are approached and presented and these videos show that with so much ease.

I'll also add that you should be able to pass a basic Statistics/Biostatistics course with just these videos. So informative and so easy to understand, I wish I had these resources the first time I took on university stats, awesome videos, happy I found them.

[RestonRichard]

Beautifully done in all regards! Greg is an absolutely masterful teacher. I hope that all students of public health and more will have a chance to follow his wonderful videos.

[efeartz]

Wow! Thank you so much sir for this video. It has laid a very solid foundation for me on statistical analysis. The animations used in creating this video is topnotch. Thank you 🙏

[lmaonade]

Your way of presenting and the great visuals kept my attention on a what could have been boring topic and I learned a lot because you explained it so clearly. Thanks!!!

[casaderemador]

Best video about the topic I've ever seen! Thank you so much!

[sandilekhanyile]

Thanks Martin. You are a great teacher.

[camz]

This is such a great video! Very well explained and the way it was presented definitely made it more understandable! 👍👍👍

[arunkumar]

Excellent teaching.... Great Job Mr. Greg

[viktorsemenov]

Thank you for the brilliant presentation! Everything was nice, but I especially enjoyed the sound effects.

[mcmoodoo]

Amazing explanation. I fell into the temptation to leave a comment even though I usually abstain from it. So much value in such a short clip

[mahmudurrahman]

such a great way to learn statistics. Thank for the great work.

[tyronefrielinghaus]

Been watchig your R videos. This one is sooo good - why didn't I have this kind of quality at university?

[fmmusic]

Great video, @Greg Martin!

However, at 5:13 I have one criticism - the standard deviation is actually not exactly the average distance from the mean. The SD is the square root of the variance. Variance (and SD) tend to amplify more extreme values.

Happy to hear your thoughts on this!

[monitoring_evaluation]

You're so amazing. You make statistics really easy

[hermansehmbi]

Amazing. Brilliant. Need more of these

[LearningAddict]

Thx for our great explanation. I really enjoyed it as always.

[LWTok]

Hi Greg, have you made a video on the types of graphs and when and why to use them? I'd really love to see a video on that.

[mubarakyahia]

Extremely useful video, thank you very much

[vijayarjunwadkar]

Fantastic video Greg! Loved the way you presented with amazing graphics and commentary to match! I also watched your videos on R Programming and they too are excellent! Thanks a lot, keep doing the great work! 😊👍

[datasciencewithglenwrightc]

Wow Greg, these videos are extremely high-quality! Well done!