I Have dataset like below which I am trying to convert column "Installs" to numeric, my codes are like below:
Original Dataset
My Codes:-
Data$Installs<-substr(Data$Installs,1,nchar(Data$Installs)-1)
Data$Installs<-gsub(",","",gsub("\\s+","",Data$Installs))
Data$Installs<-as.numeric(Data$Installs)
after the code I get below
This is the result I get
Any help?
From what I can see, you need only to remove commas and a possible trailing plus sign. So, the following should work:
Data$Installs <- as.numeric(gsub("[+,]", "", Data$Installs))
You might want to create a new column though and keep the original one.
Related
So I have a data frame that includes a column like this:
image
And I would like to remove the operator as well as the numbers to the right of it, i.e. so the first entry would just say 51.81 rather than 51.81 - 11.19. How would I go about this? I feel like using a for loop might work but I'm unsure of the syntax required.
Thanks
We can use sub to match zero or more spaces (\\s*) followed by a - or + and other characters, and replace with blank ("")
df1$xG <- as.numeric(sub("\\s*[-+]+.*", "", df1$xG))
I'm stumped. My issue is that I want to grab specific names from a given column. However, when I try and filter them I get most of the names except for a few, even though I can clearly see their names in the original excel file. I think it has to do what some sort of special characters or spacing in the name column. I am confused on how I can fix this.
I have tried using excels clean() function to apply that to the given column. I have tried working an Alteryx flow to clean the data. All of these steps haven't helped any. I am starting to wonder if this is an r issue.
surveyData %>% filter(`Completed By` == "Spencer,(redbox with whitedot in middle)Amy")
surveyData %>% filter(`Completed By` == "Spencer, Amy")
in r the first line had this redbox with white dot in between the comma and the first name. I got this red box with white dot by copy the name from the data frame and copying it into notepad and then pasting it in r. This actually works and returns what I want. Now the second case is a standard space which doesn't return what I want. So how can I fix this issue by not having to copy a name from the data frame and copy to notepad then copying the results from notepad to r, which has the redbox with a white dot in between the comma(,) and first name.
Expected results is that I get the rows that are attached to what ever name I filter by.
I was able to find the answer, it turns out the space is actually a break space with unicode of (U+00A0) compared to the normal space unicode (U+0020). The break space is not apart of the American Standard Code for Information Interchange(ACSII). Thus r filter() couldn't grab some names because they had break spaces. I fixed this by subbing the Unicode of the break space with the Unicode for a normal space and applying that to my given column. Example below:
space_fix = gsub("\u00A0", " ", surveyData$`Completed By`, fixed = TRUE) #subbing break space unicode with space unicode for the given column I am interested in
surveyData$`Completed By Clean` = space_fix
Once, I applied this I could easily filter any name!
Thanks everyone!
How can I remove a specific number of characters from a column name from 200+ column names for example: "Q1: GOING OUT?" and "Q5: STATE, PROVINCE, COUNTY, ETC" I just want to remove the "Q1: " and the "Q5: "I have looked around but haven't been able to find one where I don't have to manually rename them manually. Are there any functions or ways to use it through tidyverse? I have only been starting with R for 2 months.
I don't really have anything to show. I have considered using for loops and possibly using gsub or case_when, but don't really understand how to properly use them.
#probably not correctly written but tried to do it anyways
for ( x in x(0:length) and _:(length(CandyData)-1){
front -> substring(0:3)
back -> substring(4:length(CandyData))
print <- back
}
I don't really have any errors because I haven't been able to make it work properly.
Try this:
col_all<-c("Q1:GOING OUT?","Q2:STATE","Q100:PROVINCE","Q200:COUNTRY","Q299:ID") #This is an example.If you already have a dataframe ,you may get colnames by **col_all<-names(df)**
for(col in 1:length(col_all)) # Iterate over the col_all list
{
colname=col_all[col] # assign each column name to variable colname at each iteration
match=gregexpr(pattern =':',colname) # Find index of : for each colname(Since you want to delete characters before colon and keep the string succeeding :
index1=as.numeric(match[1]) # only first element is needed for index
if(index1>0)
{
col_all[col]=substr(colname,index1+1,nchar(colname))#Take substring after : for each column name and assign it to col_all list
}
}
names(df)<-col_all #assign list as column name of dataframe
The H 1 answer is still the best: sub() or gsub() functions will do the work. And do not fear the regex, it is a powerful tool in data management.
Here is the gsub version:
names(df) <- gsub("^.*:","",names(df))
It works this way: for each name, fetch characters until reaching ":" and then, remove all the fetched characters (including ":").
Remember to up vote H 1 soluce in the comments
In a Spotfire report, after a REAL number converted to a string, the commas got lost. How to create and implement an R script to add the commas in the converted number?
You don't to use R for this. You should convert it back either in the presentation of your analytic, or create a calculated column and change the formatting.
Insert > Calculated Column: Real([YourStringColumn])
Edit > Column Properties > YourNewColumn > Formatting > Number: Check Use thousands separator
Of note, I'm interested in the following
How did a Real number get converted to a String and
Why did this conversion drop the commas? I'd think it would keep them.
I am a new R user and having some difficulty when trying to rename certain records in a column.
My data have columns named classcode and fish_tl, among others. Classcode is a character value, fish_tl is numeric.
When classcode='OCAL' and fish_tl<20, I need to rename that value of classcode so that it is now "OCALYOY". I don't want to change any of the other records in classcode.
I'm running the following code:
data$classcode<-ifelse(data$classcode=='OCAL'& data$fish_tl<20,
'OCALYOY',data$classcode)
My problem seems to be with the "else" aspect: the code runs fine, and returns 'OCALYOY' as expected, but the other values of classcode have now been converted to numeric (although when I look at the mode of that field, it still returns as "character").
What am I doing wrong?
Thanks very much!
You can make the else part as.character(data$classcode). ifelse has some odd semantics with regard to the classes of the arguments, and it is turning your factor into it's underlying numeric representation. as.character will keep it as a character value.
You may be getting tripped up in a factor vs character issue, though you point out that R thinks it's character. Regardless, wrapping as.character() around your code seems to fix the problem for me:
> ifelse(data$classcode=='OCAL'& data$fish_tl<20,
+ 'OCALYOY',as.character(data$classcode))
#-----
[1] "BFRE" "BFRE" "BFRE" "HARG" "OCALYOY" "OYT" "OYT" "PFUR"
[9] "SPAU" "BFRE" "OCALYOY" "OCAL"
If this isn't it, can you make your question reproducible by adding the output of dput() to your question instead of the text representation?