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Hi Just tested installing it on a fresh machine and it worked fine. I used the following two commands install.packages("remotes") remotes::install_github("davidsjoberg/ggsankey") And it resulted it installing the package. And I was able to use the code to produce the charts rpubs.com/techanswers88/multiple-choice-questions-in-ggplot-sankey See bnelow the messages received during installation of the packages. Note: It may also ask to update the dependencies ( additional packages which the ggsankey library might be using. I chose to skip the updates. remotes::install_github("davidsjoberg/ggsankey") Downloading GitHub repo davidsjoberg/ggsankey@HEAD These packages have more recent versions available. It is recommended to update all of them. Which would you like to update? 1: All 2: CRAN packages only 3: None 4: glue (1.7.0 -> 1.8.0 ) [CRAN] 5: cli (3.6.2 -> 3.6.3 ) [CRAN] 6: pillar (1.9.0 -> 1.10.0) [CRAN] 7: withr (3.0.0 -> 3.0.2 ) [CRAN] 8: colorspace (2.1-0 -> 2.1-1 ) [CRAN] 9: cpp11 (0.4.7 -> 0.5.1 ) [CRAN] 10: gtable (0.3.5 -> 0.3.6 ) [CRAN] Enter one or more numbers, or an empty line to skip updates: ── R CMD build ──────────────────────────────────────────────────────────────────────────────────────── ✔ checking for file 'C:\Users\HS\AppData\Local\Temp\Rtmp8QheiR emotes300454ed4de2\davidsjoberg-ggsankey-b675d0d/DESCRIPTION' ... ─ preparing 'ggsankey': ✔ checking DESCRIPTION meta-information ─ checking for LF line-endings in source and make files and shell scripts ─ checking for empty or unneeded directories ─ building 'ggsankey_0.0.99999.tar.gz' Installing package into ‘C:/Users/HS/AppData/Local/R/win-library/4.4’ (as ‘lib’ is unspecified) * installing *source* package 'ggsankey' ... ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggsankey)

Hi Thanks a lot for compliments. You can use the use_virtual_environment('your_python_virtual_env", required = 'TRUE') , Please see the video at timestamp 1:26. All the best.

Nice.

Hi there. I have realised that on the videos where I posted the code, the views dropped as people just take the code without watching the video. However I have put the code in such a way that it is fully visible on one single screen, please take a screenshot. Apologies if I disappointed you. I might post the code in few days though.

Glad it was helpful!

Thanks for your kind words.

Hi That can be achieved as following by creating a new column and using following DAX command. Hope it helps. For Monday as start of week MondayStart = WEEKDAY('Table'[Admit Date] ,2) For Tuesday as start of week TuesdayStart = WEEKDAY('Table'[Admit Date] ,3) For Saturday as start of week. The options above are only 1, 2 or 3 so to make Saturday as start of week. SaturdayStart = IF(WEEKDAY('Table'[Admit Date], 1) = 7, 1, WEEKDAY('Table'[Admit Date], 1) + 1) All the best.

@@DataAnalytic thanks a lot!!! I wait for next videos 😊

Thank you for your kind words.

So thankful for your kind words!

Hello there, I will ensure that the DAX formulii are zoomed in. Here is the code AgeGroup = SWITCH( TRUE, ISBLANK(AGES[Customer Age]), "Unknown", AGES[Customer Age] <= 4, "0-4 yrs", AGES[Customer Age] <= 9, "5-9 yrs", AGES[Customer Age] <= 14, "10-14 yrs", AGES[Customer Age] <= 19, "15-19 yrs", AGES[Customer Age] <= 24, "20-24 yrs", AGES[Customer Age] <= 29, "25-29 yrs", AGES[Customer Age] <= 34, "30-34 yrs", AGES[Customer Age] <= 39, "35-39 yrs", AGES[Customer Age] <= 44, "40-44 yrs", AGES[Customer Age] <= 49, "45-49 yrs", AGES[Customer Age] <= 54, "50-54 yrs", AGES[Customer Age] <= 59, "55-59 yrs", AGES[Customer Age] <= 64, "60-64 yrs", AGES[Customer Age] <= 69, "65-69 yrs", AGES[Customer Age] <= 74, "70-74 yrs", AGES[Customer Age] <= 79, "75-79 yrs", AGES[Customer Age] <= 84, "80-84 yrs", AGES[Customer Age] > 84, "85+ yrs" )

Thanks a lot! Appreciated

Hi, happy to create more information videos on the topics you would like to suggest.

Thanks and welcome

Hi, to see the entire lists of colors simpy type the command colors()

@@DataAnalytic Thanks. I meant getting the list of colour names from the colour() function output to then change colour?

Hi Not sure if I got the question right. But I will try to give you a generic answer and hope that it covers what you wanted to ask... 1. Type the colours() command and it gives you a list of all the colours listed in the terminal window. 2. Copy all these values from tthe terminal window and copy them in your script and then you are able to see the actual colours also, which makes it easy to choose the colour which you want. 3. In order to use the colours you have two choices, eg. if you want all the points to be of the same colour then you can set the colour outside the aesthetics. If you want the colour to be different based on some other grouping then give the colour command within the aesthetics eg . aes (colour = gender), this was each gender will get different colour. and then you can have another line to specify the colours eg. scale_colour_manual(values = c('red', 'blue')) Hope this is what you initially wanted to ask. Let me know if I haven't been able to answer you question. All the best.

@@DataAnalytic Thankyou very much for the detailed reply. That's exactly what I was after (and more). Cheers

Hi , I haven't tried it myself but try this outt pypi.org/project/fuzzywuzzy/

Hi The dataset is generated by code and it is available at rpubs.com/techanswers88/913784 Hope it helps. All the best.

Hi Yes, it will work perfectly, this syntax is short and lot of people prefer this style. Pros Easier to write, quick, less typing Cons If you have a complex code then it is hard to read, I use the pl <- pl + geom_classic() like syntax, If I have 30 charts in a report then I can easily search for it and comment it or modify it easily. Hope it helps. All the best.

Glad it was helpful!

Hello You are not using the GGPLOT boxplot you are using the BASE R to plot your chart. You can try to use the dev.off() command to see if it works for you. Check the margings using this command par("mar") set the margins by the following command par(mar=c(1,1,1,1)) Here is an example library(tibble) data <- tribble(~ Gender, ~ Age , 'Male' , 80 , 'Male' , 40 , 'Male' , 60 , 'Male' , 70 , 'Female' , 80 , 'Female' , 30 , 'Female' , 40 , 'Female' , 50 , 'Female' , 60 , 'Female' , 70 , 'Female' , 150 ) dev.off() par(mar=c(1,1,1,1)) boxplot(formula = Age ~ Gender, data = data, col = c("red","blue"), xlab = "Patient Gender", ylab = "Patient Age") Hope it works for you.

@@DataAnalytic thanks

Glad you think so!

Hello, yes I assume that you have taken soil samples for tested for the soil acidity for Manipur, 750 locations is a good number, I will try to do a mockup.

​@@DataAnalyticSir could you share your email id with me?

Hi, I have prepared a demo for you to plot Manipur Chart and I will soon upload it. th-cam.com/video/jvpRKndh5RA/w-d-xo.html

Sir, thank you I'm eagarly waiting

Hi, thanks for your patience, I have create a video for Manipur District Map with data points.

You're very welcome!

@@DataAnalytic from Barranquilla, Colombia 🙏❤️🇨🇴

Hi, thanks for explaining your question very clearly. As you have a control dataset and a case dataset and one person will only appear in either the control or the case dataset, so you would not have a unique person ID to join the data. In your case you are joining the gender and the age range, is it possible to pick some other key which can help you ? The same record from d1 is joined to multiple rows in d2. Another way is to only take the first value in each group, so you group your joined dataset by gender, agegroup and pick the top1 using slice(1). Without looking at the data, I can only give generic advice which may not fit in your exact circumstances. If you are able to make some dummy data then put the code here, then I can give it a further try.

Hi the R charts reflect the changes in other POWERBI components, in the video it shows that when we select a particular product in a PowerBI chart then the R chart also get changed to reflect the selected product. But there are no controls within the R Chart to interact directly.

Hi, yes I agree, it is one of the older videos, we do not use background music at all now!

Thanks

Try filling the NAs with a string like 'Not Available' or 'Blank', but be aware that the NAs might be at each node level, so do this write at the start.

Hi, in this example the hexagons are controlled by the shape file, hence can't be changed to make them uniform. There are other methods which can achieve uniform size for the hexagons, as in that method the hexagons are not in the shape file but generated programatically. But the second method does not ensure that you would get one hexagon for each state.

Glad to hear it

Open an existing R script or open a new R Script page and you can start working in R.