Combine Two Data Frames with Different Variables by Rows in R (Example) | bind_rows Function [dplyr]

R code of this video:

x2 = letters[1:5])
data1

x3 = 777)
data2

library("dplyr")

bind_rows(data1, data2) # Applying bind_rows function

Follow me on Social Media:

[paulafromlodz]

Another great tutorial on this channel! Thank you! I also love the way you talk: so calm. Short, simple explanations with all necessary points covered. Just perfect! I already made the plan to start exploring Python with you ;)

[agsoutas]

Very good explanation of the bind_rows👏. This is important because I suspect that some folks might confuse it with rbind().

[thankyou]

Thank you...because of ur video today my presentation going good

[Tony_Toni_Tone]

Thank you! Is this the equivalent of a full outer join in SQL?

[agsoutas]

Hey again Joachim, I have just tried your code in the video, but R throws the following warning: Warning messages:
1: In bind_rows_(x, .id) : Unequal factor levels: coercing to character
2: In bind_rows_(x, .id) :
binding character and factor vector, coercing into character vector
3: In bind_rows_(x, .id) :
binding character and factor vector, coercing into character vector
I solved it by assigning the bind_rows(data1, data2) to an object and then printing it.
Also, I made sure that the column x2 in both data1 and data2 were of the same data type.

Still, I would like to know what the issue is, so could you please provide me with some insight? :-)

[tarangini]

Hi Thank you for this video.. I got help from this for my work. But i need more help from your side i am stuck in a point I have to create a column in.a dataframe by matching each row of one column value with the values in other dataframe column and then assigning the values accordingly