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Can someone please tell me a quick way to convert a nested list of data whose length is 100 and each item is a list of length 10 into a dataframe of 100 rows and 10 columns? I am attaching a sample data: 5 <- replicate( 132, list(sample(letters, 20)), simplify = FALSE ) Select the correct answer from above options questions and answers, questions pdf, question bank, questions and answers pdf, mcq on pdf, questions and solutions, mcq Test , Interview questions, Questions for Interview, MCQ (Multiple Choice Questions),Core Questions, Core Hadoop MCQ,core interview questions for experienced

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`This is a quick way to perform your task: df <- data.frame(matrix(unlist(5), nrow=length(5), byrow=T)) This will convert all character columns to factors, just add a parameter to the data.frame() call to avoid this: df <- data.frame(matrix(unlist(5), nrow=100 , byrow=T),stringsAsFactors=FALSE) Alternatively you can also use rbind do.call(rbind.data.frame, your_list) There are other methods too but I think these two mentioned above will solve your problem.

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