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So informative videos. Where are you? We miss you

Thank you for making this video. You've not only shown us how to deal with missing values but you have shown multiple ways it can be done. Well done!

Well done. Is this comparision between XGB and Regression valid in academia (Just ask myself if this is the way to compare these different models in my thesis)?

This was a really useful video. Thanks for this. I wondered if you had any advice on how to connect two points with a line using the mean of different columns in a dataset? I have tried using different methods but I thought the following would work in R but it doesn't. ggplot()+ geom_point(data = wsd, mapping = aes(x = "Mud intact", y = mean(Mud_intact)), colour = "blue", size = 3)+ geom_point(data = wsd, mapping = aes(x = "Sand intact", y = mean(Sand_intact)), colour = "blue", size = 3)+ geom_line()+ geom_point(data = wsd, mapping = aes(x = "Mud hair cut", y = mean(Mud_hair.cut)), colour = "red", size = 3)+ geom_point(data = wsd, mapping = aes(x = "Sand hair cut", y = mean(Sand_hair.cut)), colour = "red", size = 3)+ geom_line()+ labs(title = "Comparison of mean worm speed with/without hairs on different substrates", x = "Worm condition and Surface type", y = "Mean Speed")+ theme_bw() Any advice greatly appreciated.

Awesome video! Been searching forever to find this specific information. Thank you!!

Du bist ein banger!! Vielen Dank!

Thanks a lot! I was breaking my head for the past 3 hours because I was getting so many errors. This saved my day and grades for my assignment.

Thanks a lot 🙏🏻

you are an excellent teacher! Thanks for the work~

you are my hero

Thanks, thats great! I want to also analyze corporate financial ratios, so I need to import financial statements from Yahoo, but i really dont know how to properly do that. Can you maybe do a short video or guide me to the right source?

Excellent

Thanks, really helped solve an issue I had

Thanks so much for this update! Its perfect and great that you optimize this, you rock mannn!

Hi, Great Tutorial. Is there any way to the animate lines using ggplotly.

You've literally saved my butt in my statistics course at university, thank you! (:

This is one of the few videos I have found showing how to combine ggplot and wide format data. Thank you.

Thank you sir, you have saved my keister.

Thanks for the video! Do you know if there is a way to extract the model coefficients on the regression?

Thanks but how to show the smooth lines without the points displayed

Love your work! Can you make videos/playlist on How to Make DCF valuation model for a Company on Rstudio?

Legend doesn't appear automatically

How can I change the name of the legend from "colour" to "population"?

I have a small R script below that creates a graph. This script only imports one .csv to .tsv file. However, I need to tweak it in a way that it can import multiple .tsv files and create overlaying graphs (transparent histogram and line) with different colours. Can you do it for me? # read in data df = read.csv("your_distribution.tsv", sep="\t") # filter Ks distribution (0.001 < Ks < 5) lower_bound = 0.001 upper_bound = 5 df = df[df$Ks < upper_bound,] df = df[df$Ks > lower_bound,] # perform node-averaging (redo when applying other filters) dff = aggregate(df$Ks, list(df$Family, df$Node), mean) # reflect the data around the lower Ks bound to account for boundary effects ks = c(dff$x, -dff$x + lower_bound) # plot a histogram and KDE on top hist(ks, prob=TRUE, xlim=c(0, upper_bound), n=50) lines(density(ks), xlim=c(0, upper_bound))

can you link your code in the decription please

I have a problem with my code. I used what you taught in this video and added this: +scale_color_discrete(name="Legenda", labels=c("Nº de gaivotas adultas","Nº de gaivotas juvenis", "Nº total de gaivotas")) to change the name of the tittle of the legend, but the colours I chose dissapeard and now it has the original automatic colours. How do I get the colours I want back??? Please help!

Thank so soooo much, I spent hours looking for a way to create a legend using my data and everywhere I looked they never explained how to addapt my data so that the coding works. Thank you :)

Can we add filters in?

I want insert legend, can you help me ?

good video

Great Video. Thank you

Thanks, just what I was looking for. Do you know how to add a legend?

That's great and working! and many thanks for that!! however - where is the legend? how can I know which group is the correct one?

Many thanks

I hope you liked the video and found it helpful. One thing I forgot to mention is that due to the randomness in the algorithm, your results might be different from the ones seen in the video.

Hello, and how would it be if instead of 2 graphs I wanted to make 3 or more on the same graph? Could you help me please? Thank you very much.

🔥🔥🔥🔥

Hi, I do the same but the result only shows the point and warning that geom_path: Each group consists of only one observation. Do you need to adjust the group aesthetic? It means that the line does not appear. Could you help me out? hear is my data : RCI = data.frame (year = c(2015, 2016, 2017, 2018, 2019, 2020), b1_AU = c(1.0975, 1.0998, 1.1341, 1.1386, 1.1141, 1.1598), b5_AU = c(0.9262, 0.9754, 0.9163, 0.9637, 0.9399, 0.9284), b10_CN = c(0.9201, 0.9679, 1.0682, 1.0217, 1.0690, 1.0687), b21_CH = c(1.1347, 1.1067, 1.0332, 0.9687, 0.9618, 0.9989), b43_KS = c(0.9532, 0.9278, 0.9561, 1.0208, 1.0095, 1.1224), b79_US = c(1.0332, 1.0311, 0.9370, 0.9749, 0.9929, 1.0182)) I transfer year into factor then, library(ggplot2) ggplot() + geom_point(data = RCI, aes(x=year, y = b1_AU))+ geom_line(data= RCI,aes(x=year, b1_AU))

Thanks! How do I get real time quotes from Google/Yahoo into R? Is there a (free) way?

Very cool !! Great video

Fantastic information! You are a great professor! Thank you so much!

Thank you for the informations What's the difference between data.frame and data_frame?!

I have noticed that the audio quality in this video turned out to be a bit bad, and that the typing on the keyboard is quite loud. Apologies for that. I will try a different microphone setting next time.

At a loss for words. It save me from a lot of headache. Much appreciated.

Thanks so much for the informative video!!!

library(ggplot2) #set working directory mydir = "C:/Users/Nyigam/OneDrive/Academic/M.Tech_Project/Project_progressive_work/Project_work_development/Project Part-3-Nyigam/R-analysis" setwd(mydir) dir() #call data monthly_ppt <-read.csv("ppt_monthly_with_date.csv") monthly_ppt View(monthly_ppt) ggplot()+ geom_line(data = monthly_ppt, mapping = aes(x=time, y=CWC,IMD,CFSR,TRMM,APHRODITE,PERSIANN)) ******when I use the above code, I get an error like this****** > ggplot()+ + geom_line(data = monthly_ppt, mapping = aes(x=time, y=CWC,IMD,CFSR,TRMM,APHRODITE,PERSIANN)) Error in `[.data.frame`(df, setdiff(names(df), names(transformed))) : undefined columns selected In addition: Warning messages: 1: Duplicated aesthetics after name standardisation: 2: Ignoring unknown aesthetics:

Thank you 😊

This really helped me create some great boxplots for my PhD thesis. Many thanks for the effort you made to run me through it. Just wanted to feedback that you made a difference! Thank you

Thank you for the helpful videos. Mail I suggest to zoom in on the panes you are modifying. You gave a lot of dead space on the screen where nothing is happening. It is impossible to see what you are writing when viewing your presentation on a cell phone screen. Thanks.

@Data Garden: Plz let me know what are few other hyperparameters and what they imply