foxit pdf viewer c# : Extract text from pdf to excel control application platform web page azure windows web browser HowTo-IOS0-part1076

R
data import and export
A. Blejec
andrej.blejec@nib.si
October 27, 2013
Extract text from pdf to excel - extract text content from PDF file in C#.net, ASP.NET, MVC, Ajax, WinForms, WPF
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Extract text from pdf to excel - VB.NET PDF Text Extract Library: extract text content from PDF file in vb.net, ASP.NET, MVC, Ajax, WinForms, WPF
How to Extract Text from PDF with VB.NET Sample Codes in .NET Application
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Read
Rcan read ...
I
plain text tables and les
I
Excel les
I
SPSS, SAS, Stata formated data
I
databases (like MySQL)
I
XML, HTML les
VB.NET Create PDF from Excel Library to convert xlsx, xls to PDF
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Write
Rcan write ...
I
plain text tables and les
I
Excel les - use tab delimited plain text
I
SPSS, SAS, Stata formated data
I
databases (like MySQL)
I
XML, HTML les
C# Create PDF from Excel Library to convert xlsx, xls to PDF in C#
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Reading texts
read.table()
Read data formatted as a table
read.delim() ...
read.table() variants
readLines()
Read lines from a le
readline()
Reads a line from the Console
read.clipboard() Read text from clipboard
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Reading text data
Main function to read text data is read.table().
Data table:
gender age weight height
F 18 68.0 1.720
M 17 68.2 1.753
M 17 68.4 1.730
F 18 65.6 1.743
M 17 65.2 1.765
File: bmi.txt
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Integrate following RasterEdge C#.NET text to PDF converter SDK dlls into your C#.NET project assemblies; RasterEdge.XDoc.Excel.dll.
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Column names: header
> data <- read.table("../data/bmi.txt",header=TRUE)
> head(data)
gender age weight height
1
F 18
68.0
1.720
2
M 17
68.2
1.753
3
M 17
68.4
1.730
4
F 18
65.6
1.743
5
M 17
65.2
1.765
6
F 18
64.6
1.690
Other arguments
> if(interactive())
+ ?read.table
read.table(file, header = FALSE, sep = "", quote = "\"
",
dec = ".", row.names, col.names,
as.is = !stringsAsFactors,
na.strings = "NA", colClasses = NA, nrows = -1,
skip = 0, check.names = TRUE, fill = !blank.lines.skip,
strip.white = FALSE, blank.lines.skip = TRUE,
comment.char = "#",
allowEscapes = FALSE, flush = FALSE,
stringsAsFactors = default.stringsAsFactors(),
fileEncoding = "", encoding = "unknown")
read.table() variants
read.csv
(file, header = TRUE, sep = ",", quote="\"",
dec=".", fill = TRUE, comment.char="", ...)
read.csv2 (file, header = TRUE, sep = ";", quote="\"",
dec=",", fill = TRUE, comment.char="", ...)
read.delim (file, header = TRUE, sep = "\t", quote="\"",
dec=".", fill = TRUE, comment.char="", ...)
read.delim2(file, header = TRUE, sep = "\t", quote="\"",
dec=",", fill = TRUE, comment.char="", ...)
What next?
If you want to use variables by names, attach your data!
> dim(data)
# dimension: n rows and columns
[1] 45
4
> names(data)
# variable names
[1] "gender" "age"
"weight" "height"
> try(mean(weight))
# variables are not available yet
> attach(data)
# make variables usable
> mean(weight)
# variables are available
[1] 61.00889
> table(gender,age)
age
gender 17 18
F
9 16
M
9 11
Reading les line by line
> txt <- readLines("../data/bmiCom.txt")
> str(txt)
chr [1:49] "# Data for BMI calculation\t\t\t\t" ...
# Data for BMI calculation
# weight in kg
# height in m
gender age weight height
F 18 1.720 # weight not known
M 17 68.2 1.753
M 17 68.4 1.730
F 18 65.6 1.743
M 17 65.2 1.765
F 18 64.6 1.690
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