Using ggplot to create bar charts for 2 categorical variables. R programming for beginners.
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- Опубликовано: 7 июн 2021
- Creating bar charts or bar graphs is easy using ggplot. R programming provides a number of alternatives for data visualisation. Ggplot or ggpot2 is, in my opinion, the best way to visualise your data and create plots and graphs during your data analysis. If you're interested in quantitative analysis, data science and statistics, then this video is for you. This is an R programming for beginners video.
Absolutely love these videos of yours! Keep it up! Wanted to change away from SPSS to R for my doctoral thesis and your videos have given me the motivation AND means to do it.
My favourite channel! Please do an analysis of variance (ANOVA) test for three related data sets of different sizes, including numeric and categorical variables. That would be brilliant.
Oh my god thank you so much, you have no idea how long I've been looking for how to separate the bars by different variables. You also made it clear what pipes are. Thank you!
So glad it was helpful! Thanks and cheers :)
haha always love it when you end with "don't do drugs, don't ever change". Fantastic resource for R beginners like myself, thank you!
haha - glad you like it.. :)
Very informative video. Would suggest for a follow up video that includes adding error bars to the graph, as well as, significance indicators (previously calculated letters or asterisks) above each individual bar. This would be helpful in the cases where the is a single and 2 categorical variables.
Thank you for making R easy to use😊
Very nice explanation which is very easy to understand.
Excellent Video. It was very easy to understand and helpful to complete a class assignment. Big Thumps up.
Wow!!! Amazing video! R simplified!!! Am glad I came across this video! Makes R more interesting and understandable! Thank you so much!!🙏
Glad you liked it!! Thanks!
thank you very much! precise and to the point
Amazing video! I don't know what I would've done without them, you make R actually fun! I was wondering, in which video do you talk about adding labels to amounts in a stacked barchart? thanks!
Videos are great help ... thank you.
Currently doing my Google data analytics certificate and I really enjoy adding to my knowledge with these videos. kuddos on your teaching abilities.
Bro, Is that analytics course free ?
@@saradhiananth1613 I payed for it. I was able to finish it in two months by committing to 5-6 hours a day. I heard there is financial aid available but I am not sure how that works.
I love this video.. Amazing!!
Absolutely love the videos! How can I create a weekly schedule using ggplot2? Could you make a video on that?
Great explanation: short, succinct and intuitive
Thank you kindly!
Great videos! Could you post tutorials on Inferential statistics and Biostatistics with R?
Much appreciated!
Can you explain the reason why nonlinear regression crashes due to the use of unreasonable initial guesses of coefficients?
Hi
I love your short and sweet videos, I am wondering how can I prepare Bar chart with more than one numerical variable?
Thank you so much for explaining everything so well! You're a real life-safer :)
Happy to help! Thank you :)
THANK YOU. really helpful for my poli sci project AND this is making me want to get into R for its own sake
You can do it! Glad it was helpful! Thank you :)
Super helpful! Thank you!
You're welcome! Glad you enjoyed it!
The best teacher in R with you it become easy
Thanks for the very kind comment
Awesome many thanks for the update
you are most welcome
Another fascinating video!
One question, can we used ggplot to perform graphing that are usually embedded in other packages? For instance, the age modelling package Bacon?
Great question - I think so (but am now sure). Will see what I can find out)
Really excellent communicator bravo and thank you so much
Thank you for the feedback, I really appreciate it!
If I have data where the are 3 columns ( one is a factor and the other two are numeric values) can i do a bar chart with 2 categorical variables ? for example the x-variable is the name of people of the study and y-variable have the values of the other two colums which are the heights of two diferent years
Can you please show how to add labels to the bar when we use position = "fill"?
My favourite teacher of all time...love you sir keep up the good work
I have a question and that is how do you visualise your data after cleaning...?
I filtered a datafram and use mutate function to add new row to the datafram
After which I wanted to use ggplot2 to visualise my data but it throwed an error message saying object not found thus the new row I created not found
Amazing videos, keep up!
Thanks, will do!
I made a bar chart today. Thank you
Wonderful!
the 1 minute gave me a lot of hope :D
Can you create one for ANN using R Keras?
Hi dear, i tryed for hours did something like that in some seconds of video you explained exactly what i whant.
thank you
So glad to hear that! Thanks.
Thanks so much for an awesome video. I really like using the pipe operator which, as you said, cuts down on creating more objects. My code is cleaner now and easier to follow.
Agree... I LOVE %>%
Learning a lot here feels easier and understandable.
Happy to help! Thank you for the feedback.
Can I know how to overcome error bar overlap when producing a stacked bar chart ?
Can u explain how to do Non MultiDimensional Scaling using R please.
I have to create a bar chart which shows cost of different machines per year.lets say the years are 2018,2019,2020. How can I plot the chart with the data available.
Very nice!
Thanks for the feedback!!
My bar plot in ggplot shows NA although there in no NA or missing value in my data. How do I solve it sir
love your content
Thank you!
i have this set that has numeric variable and two categorical variables. I did everything fine except the legend is done in gradient colour fashion; scale of colour and values while it should be 2 categories either 0 or 1, any ideas?
db %>% ggplot(aes(x = age, group= loan_default, fill = loan_default)) +
+ geom_boxplot(alpha=0.7)+facet_wrap(~ employment_type)+coord_flip()
same here ....it´s a factor !!! just put before your variable the word factor and perentesis for example
for variable a und b
db %>%
filter(a %in% c('1','2','3')) %>%
drop_na(b) %>%
ggplot(aes(factor(b)))+
geom_bar(aes(fill=factor(b)),alpha=0.5)+
facet_wrap(~ a)+
theme_bw()+
theme(panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
legend.position='none')+
labs(title = 'titel',
x='Transport',
y='count')
Sir, would you please make a video on Chi-square test in R? Your videos surely helped me import dataset in R and do further analysis.
Hi Nur, Chi squared test in R video is to be published today. Hope all is well!
I need to understand basic the Name of my parameter Can i use " AD+CD-BD_love"???
LEGEND
I got a problem in this starwars dataset
here it is
library(tidyverse)
> View(starwars)
> starwars %>%
+ filter(hair_color == "black") |
+ filter(hair_color == "brown") %>%
+ drop_na(sex) %>%
+
+ ggplot(aes(hair_color, fill = sex))+
+ geom_bar(position = "dodge",
+ alpha= 0.5)+
+ labs(x= "Hair Colour",
+ y= "Number",
+ title = "Hair color of star wars")+
+ theme_bw()
Error: object 'hair_color' not found
#I don't know why "hair_color" can't find
#may be its a big mistake by me
#I have a big question
please help
how can i get a personal class from you?
First one
the explanation in regrads to the equal signs threw ,e a bit off, ususally "=" means youa ssing a value, since you want to filter an assignment would be pointless hence you want to access the assigned value of said variable which you do with "==" but the logic in regards the what to do comes from the filter function, so attributing the "if" to the "==" may be not 100% correct as the actualy filtering happens through said function, you simply check the value with the "==" and decide according to the defined logic.
Doesn't work...
Hello, you should not use the noisy musical background in a short and important academic video, it spoils your presentation, please remove.
Why are you always using tidyverse? It's so infuriating. I'm not here to learn tidyverse. I'm here to learn R
Bro what😂 you have to load in what codes you’re going to use and tidyverse is the most common