R Programming For Beginners - R Programming Tutorial - Data Analytics For Beginners - Class 1 - 2020
R Programming For Beginners - R Programming Tutorial - Data Analytics For Beginners
• R Programming For Beginners - R Programmin...
R Programming For Beginners:-
so why is it that our is becoming such a popular and useful tool in data analysis and statistical analysis I'm gonna tell you why stay tuned now the short answer
is this is one of the rare occasions when something that is free and open-source is in fact better and that this is in my opinion better then the expensive commercially available
alternatives that are out there and if you don't believe me just look at the trends there are masses of people moving from SPSS to are from Stata to are from SS to R I don't see anybody moving the other direction now R is essentially a programming
language and you might find that fact a little bit intimidating or scary but don't and you'll see when I do the little demonstration at the end of the video that it's not difficult to use that it's relatively intuitive and you can learn
it and there's loads and loads of support out there if you need it the importance of using code to it when you do data analysis is that your your your analysis is reproducible somebody else
can see exactly how it is that you got to the answers that you got to added to that you've got the ability to collaborate with other people and they
can look at what you've done and make suggestions or changes or identify mistakes in your analysis and you can't do that with a point-and-click system and the next reason why using code to do
your analysis is important is that not only is your analysis reproducible but it's also repeatable in other words if a year from now you've got additional data
let's say you had data for 2018 and 2019 you've got double the data set you want to rerun that analysis you just run your your code and everything your your data
cleaning your data manipulation and your analysis all gets repeated right there and then at the push of a button now one of the most exciting things about R is
because it's open source you've got people all over the world writing packages and packages and things that you can install and use that deal with very specific data analytic
problems and these are free and there are literally thousands of them another big advantage of using R is that it has incredible data visualization and graphics capabilities in fact in that sense it beats any other package hands down it's a slam dunk nothing comes close right now I'm going to do a short demonstration just to show you that using a program language to do analysis is not difficult it's not scary it's relatively simple okay so watch this so in this particular example I have got a little data frame called friends I click on that and we can see it over here we've got some variables and some observations I'm looking at age and height let's see what we can do with those basically the way the coding works is you apply a function to an object so in this case the function might be the mean we want to know the mean of age which is the object which is 23 we might want to know the median of the height we can plot a histogram of the age or plot age against height and we might want to know if there is a statistically significant correlation between age and height and as we can see in this particular case there isn't right so clearly writing code is not that scary at all I mean I haven't broken up into a sweat you'll notice that I don't have a tremor I don't have a heart palpitation I haven't fallen over dead I've actually survived it's not difficult it's not scary you can do it now if you're interested in learning art and why don't you subscribe to this channel follow the videos I'm going to start off by just talking you through how to install our how to install rstudio which is where you're going to write the code and then we're going to go through everything data analysis data manipulation erotic visualization all the way up to machine learning and AI thanks for watching leave your comments and questions in the discussion section below
see you soon
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