import-from-csv

I want to create a table into variable something that looks like actual csv file: Length Price Code 10.05 0.78 AB89H 20 5 HB20K This is something that What I do to every function I am working with So maybe I can do it once perhaps... tree_file.readline() # skip first row for row in tree_file: field=row.strip() field=field.split(",") #make Into fields price=int(field[1]) I want a function that create a table from csv file so I can use this table for all my other function. So I don't have to all the time open csv file in each function and strip them and make them in field. I don't need to print

Datalink: Data Code: ccfsisims <- read.csv(file = "F:/Purdue University/RA_Position/PhD_ResearchandDissert/PhD_Draft/GTAP-CGE/GTAP_NewAggDatabase/NewFiles/GTAP_ConsIndex.csv", header=TRUE, sep=",", na.string="NA", dec=".", strip.white=TRUE) ccfsirsts <- as.data.frame(ccfsisims) ccfsirsts[7:25] <- sapply(ccfsirsts[7:25],as.numeric) ccfsirsts <- droplevels(ccfsirsts) ccfsirsts <- transform(ccfsirsts,sres=factor(sres,levels=unique(sres))) ccfsirsts[1:5,] Issue: So, if you check the column "pSVIPM", the values displayed in the dataframe "ccfsirsts" are different from what is actually saved in the

I am using read.table to read a data file. and got the following error: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got 'true' I know that means there's some error in my data file, the problem is how can I find where is it. The error message did not tell which row has the issue, it's hard for me to find it. Or how can I skip these rows? Here's my R code: data<-read.csv("/home/jianfezhang/prod/conversion_yaap/data/part-r-00000", sep="\t", col.names=c("site", "treatment", "mode", "segment", "source", "itemId", "leaf_categ_id", "condition

I need to load a month of CSV files into Excel for analysis via VBA. Each day of the month is a separate file with the date name (YYYYMMDD). Currently, I can load two files created by two different circumstances, A and B using With ActiveSheet.QueryTables.Add(Connection:=Full_F_Name_A, _ Destination:=Range("$H$4")) I use a loop to change A and B (and the destination). I have not figured out how to increment the date. I use an input box to get the date of the first file in the month. F_Name = InputBox("Enter name of first data file eg YYYYMMDD, target=H4, EG4") Any help would be great as I am

I am building a Google App Maker application that takes a user-uploaded Excel CSV spreadsheet file as input. I have thought of multiple, possible solutions to reading the data from this file, but I have encountered this error: "Exception: FILENAME.csv exceeds the maximum file size" each time. I have tried extracting the data via parseCSV() to Google Cloud SQL, reading in as one string via .getBlob().getDataAsString() and splitting it by "\n," and writing all the data to Google Docs and trying to read it from there. However, all of these methods have resulted in the same error. Is there any

I'm trying to read in a .csv file from the IRS and it doesn't appear to be formatted in any weird way. I'm using the read.table() function, which I have used several times in the past but it isn't working this time; instead, I get this error: data_0910<-read.table("/Users/blahblahblah/countyinflow0910.csv",header=T,stringsAsFactors=FALSE,colClasses="character") Error in read.table("/Users/blahblahblah/countyinflow0910.csv", : more columns than column names Why is it doing this? For reference, the .csv files can be found at: http://www.irs.gov/uac/SOI-Tax-Stats-County-to-County-Migration-Data