I'm using a tool called Meltwater to download tweets and news that contain certain keywords. The file seems to be a .csv, but when I try reading it with the following code:
test <- read.csv("C:/Users/Usuario/Downloads/esto_es_una_prueba - Nov 24, 2022 - 11 40 37 AM.csv")
it returns this error:
Error in make.names(col.names, unique = TRUE) :
invalid multibyte string at '<ff><fe>D'
In addition: Warning messages:
1: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 1 appears to contain embedded nulls
2: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 2 appears to contain embedded nulls
3: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 3 appears to contain embedded nulls
4: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 4 appears to contain embedded nulls
5: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 5 appears to contain embedded nulls
If I open the file with Excel, instead of getting one comma separated column, such as:
Date,Headline,URL
24-Nov-2022 11:38AM,prueba,https://twitter.com/Jessipaola24/statuses/1595788900215230467
I get a regular Excel file, like this:
enter image description here
I tried with different seq = , I tried reading the file as a .xslx with different libraries. Nothing seems to work. I only manage to open the file in R if I first open it on Xlsx and save it as a .csv/.xlsx file. But since I have to read many files, I'd like to lose this step.
Related
When reading my CVS data into R, after reading so many values as normal the data stops being separated by "," leaving lots of data missing
Here is how I load my data into R.
CODATA <- read.table( file.choose("CO2 Emissions per country.cvs"), header = TRUE, sep = "," )
I'm given this warning.
Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, :
line 1 did not have 3 elements
Warning messages:
1: In scan(file = file, what = what, sep = sep, quote = quote, dec = dec, :
EOF within quoted string
2: In scan(file = file, what = what, sep = sep, quote = quote, dec = dec, :
number of items read is not a multiple of the number of columns
Then the value is...
"Cote dIvoire,0.42,0.44,0.44,0.43,0.45,0.49,0.46,0.51,0.45,0.4,0.33,0.32,0.38,0.33,0.29,0.28,0.26,0.25,0.23,0.21,0.21,0.2,0.21,0.21,0.22,0.25,0.3,0.3,0.4,0.37,0.36,0.36,0.29,0.31,0.32,0.32,0.3,0.34,0.31,0.29\nNigeria,0.1,0.12,0.15,0.16,0.18,0.22,0.27,0.3,0.32,0.35,0.39,0.42,0.41,0.37,0.38,0.35,0.35,0.36,0.36,0.3,0.34,0.4,0.36,0.29,0.28,0.3,0.34,0.29,0.31,0.34,0.38,0.39,0.36,0.36,0.4,0.35,0.32,0.33,0.27,0.29\nKenya,0.28,0.28.....(and so on)
where the values haven't been separated. The data is meant to start a new line with each country. It reads the previous 100 or so countries as normal up to Cote dIvoire.
Is there any way to fix without editing the csv file and changing the code to load it in?
Thank you for any help given.
You're best checking over the CSV file again for any problems. You could also try CODATA <- read.csv("CO2 Emissions per country.csv") rather than read.table?
d=read.csv(file.choose())
Warning messages:
1: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 1 appears to contain embedded nulls
2: In read.table(file = file, header = header, sep = sep, quote = quote, :
incomplete final line found by readTableHeader on 'C:\Users\xforce47\Desktop\airbnb .xlsx'
d=read.csv(file.choose())
Warning messages:
1: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 1 appears to contain embedded nulls
2: In read.table(file = file, header = header, sep = sep, quote = quote, :
incomplete final line found by readTableHeader on 'C:\Users\xforce47\Desktop\airbnb .xlsx'
Thats because you try to read in an excel document with a function for csv's. Try
library(rio)
d <- import(file.choose(), setclass = "tbl")
instead. The setclass argument is optional and only useful if you work with the tidyverse.
Just save the file as .csv and read it.
Set the working directory correctly
x <- read.csv(‘myfile1.csv’)
How can I read from a text file? I have the following data in a text file-
A,B,C,D
E,F,G,H
Iam trying to choose the file interactively.
read.delim(file.choose(), sep=",")
Warning messages:
1: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 1 appears to contain embedded nulls<br>
2: In read.table(file = file, header = header, sep = sep, quote = quote,
:
line 2 appears to contain embedded nulls<br>
3: In read.table(file = file, header = header, sep = sep, quote = quote,
:
line 3 appears to contain embedded nulls<br>
4: In read.table(file = file, header = header, sep = sep, quote = quote,
:
line 4 appears to contain embedded nulls<br>
5: In read.table(file = file, header = header, sep = sep, quote = quote,
:
line 5 appears to contain embedded nulls<br>
6: In scan(file = file, what = what, sep = sep, quote = quote, dec = dec,
:
EOF within quoted string<br>
7: In scan(file = file, what = what, sep = sep, quote = quote, dec = dec,
:
embedded nul(s) found in input
I wish to simply read the data and store it in a variable.
Just use read.csv:
your_df <- read.csv(file="/path/to/your_file.csv", header=FALSE)
your_df
v1 v2 v3 v4
1 A B C D
2 E F G H
The header parameter to read.csv tells R that your input CSV file does not have a leading header row with column names.
Install and attach data.table then use fread
fread(file.choose(), sep = ",")
Your error could be due to encoding issues - specify the right encoding:
fread(file.choose(), sep = ",", encoding = "INSERT YOUR ENCODING"`)
This question already has answers here:
Get "embedded nul(s) found in input" when reading a csv using read.csv()
(7 answers)
Closed 3 years ago.
I want to text a .txt file in R but I keep getting an embedded null error.
I have tried this code:
text_df = read.delim2(testfile, header = TRUE, sep = ',')
The original file ("testfile") looks like this:
UPC,HSY Item Description,Hsy Seasonal Segmentation,Store Nbr,Store Name,Building City,Building State/Prov,Building Postal Code,Store Type,WM Date,SeasonAndYear,OH_Qty,POS_Qty,POS_Sales
"0001070006638","Whprs Rbn Egg 13.75OZ","EAS $2.98 Candy Dish",1,"ROGERS, AR","ROGERS","AR","72756","Supercenter",1/27/2018 12:00:00 AM,"EAS2018",0,0,0.0000
"0001070006638","Whprs Rbn Egg 13.75OZ","EAS $2.98 Candy Dish",1,"ROGERS, AR","ROGERS","AR","72756","Supercenter",1/30/2018 12:00:00 AM,"EAS2018",0,0,0.0000
"0001070006638","Whprs Rbn Egg 13.75OZ","EAS $2.98 Candy Dish",1,"ROGERS, AR","ROGERS","AR","72756","Supercenter",2/2/2018 12:00:00 AM,"EAS2018",0,0,0.0000
I keep getting this error:
Warning messages: 1: In read.table(file = file, header = header, sep =
sep, quote = quote, : line 1 appears to contain embedded nulls 2:
In read.table(file = file, header = header, sep = sep, quote = quote,
: line 2 appears to contain embedded nulls 3: In read.table(file =
file, header = header, sep = sep, quote = quote, : line 3 appears
to contain embedded nulls 4: In read.table(file = file, header =
header, sep = sep, quote = quote, : line 4 appears to contain
embedded nulls 5: In read.table(file = file, header = header, sep =
sep, quote = quote, : line 5 appears to contain embedded nulls 6:
In scan(file = file, what = what, sep = sep, quote = quote, dec = dec,
: embedded nul(s) found in input
Try this:
df = read.table(yourFile, quote = '"', sep = ",", header = T)
This should treat the comma inside "ROGERS, AR" as part of the string and not as a separator.
I want to read data from a text file into an R dataframe. The data is delimited by pipes | and also has quotes around the values. I've tried some combinations of read.table but it's importing everything into a single field as opposed to splitting it. The data looks like this:
"CompetitorDataID"|"CompetitorID"|"ItemID"|"UserID"|"CountryID"|"SegmentID"|"TaskID"|"Price"|"Comment"|"CreateDate"|"GeneralCustomer"|"TenderResult"
"29"|"5"|"187630"|"1375"|"5"|"398"|"4085"|"5.000000"|"test"|"2013-01-1002:58:23.230000000"|"False"|"1"
"30"|"5"|"1341"|"1294"|"5"|"398"|"4088"|"6.000000"|"test"|"2013-01-1003:15:26.687000000"|"False"|"1"
"31"|"5"|"1007"|"1375"|"5"|"398"|"4105"|"5.000000"|""|"2013-01-1005:50:51.150000000"|"False"|"1"
Although this code will import when pasted into R it won't work from the original text file. I get the following error message:
Warning messages:
1: In read.table("competitorDataCopy.txt", header = TRUE, sep = "|") :
line 1 appears to contain embedded nulls
2: In read.table("competitorDataCopy.txt", header = TRUE, sep = "|") :
line 2 appears to contain embedded nulls
3: In read.table("competitorDataCopy.txt", header = TRUE, sep = "|") :
line 3 appears to contain embedded nulls
4: In read.table("competitorDataCopy.txt", header = TRUE, sep = "|") :
line 4 appears to contain embedded nulls
5: In read.table("competitorDataCopy.txt", header = TRUE, sep = "|") :
line 5 appears to contain embedded nulls
6: In read.table("competitorDataCopy.txt", header = TRUE, sep = "|") :
line 1 appears to contain embedded nulls
7: In scan(file = file, what = what, sep = sep, quote = quote, dec = dec, :
embedded nul(s) found in input
You can easily import a pipe delimited .txt file this way:
file_in <- read.table("C:/example.txt", sep = "|")
That applies for any character separated text files, just change the sep to suit.
Setting sep="|" seems to work for me. The default parameter for read.table is quote="\"" so it will automatically strip the quotes from the beginning/ending of values.
read.table(text='"CompetitorDataID"|"CompetitorID"|"ItemID"|"UserID"|"CountryID
"|"SegmentID"|"TaskID"|"Price"|"Comment"|"CreateDate"|"GeneralCustomer"|"TenderResult"
"29"|"5"|"187630"|"1375"|"5"|"398"|"4085"|"5.000000"|"test"|"2013-01-10 02:58:23.230000000"|"False"|"1"
"30"|"5"|"1341"|"1294"|"5"|"398"|"4088"|"6.000000"|"test"|"2013-01-10 03:15:26.687000000"|"False"|"1"
"31"|"5"|"1007"|"1375"|"5"|"398"|"4105"|"5.000000"|""|"2013-01-10 05:50:51.150000000"|"False"|"1"'
, sep="|", header=T)
I have solved the issue by opening the file in notepad and changing the encoding from Unicode to ANSI. Not sure why this makes a difference but it imports cleanly now.