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# stats-tools 0.1.0

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 Developer: License / Price: Last Updated: Category: Jonhnny Weslley | More programs MIT/X Consortium Lic... / FREE January 6th, 2011, 12:48 GMT ROOT / Science

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## A set of command-line statistics tools

stats-tools is a set of command-line statistics tools written in Python.

Installation:

On Debian systems, you may install them by running:

sudo apt-get install python-numpy python-scipy

Installing stats-tools

Install stats-tools by using easy_install:

sudo easy_install stats-tools

Or checkout from git repository:

git clone git://github.com/jweslley/stats-tools.git
cd stats-tools
sudo python setup.py install

Utilities:

* min - Calculate the minimum of a number sequence
* max - Calculate the maximum of a number sequence
* mean - Calculate the mean of a number sequence
* median - Calculate the median of a number sequence
* std - Calculate the standard deviation of a number sequence
* var - Calculate the variance of a number sequence
* sum - Calculate the sum of a number sequence
* stats - Output a summary table including mean, median, mininum, maximum, standard deviation and variance of a number sequence
* summary - Output a summary table including minimum, lower quartile, median, upper quartile, maximum of a number sequence
* fivenum - Calculate Tukey's five number summary (minimum, lower-hinge, median, upper-hinge, maximum) of a number sequence based on 1.5 times the interquartile distance

Usage:

All utilities take as input a file in table format to perform some calculation based on it. A tipical input file is shown below:

1 2 4
3 5 4
6 4 6
4 5 6
9 12 16

Considering this input file, let's call it example1.dat, you can calculate some statistics like:

The max value on the first column:

max example1.dat

The min value on the second column:

min -c 2 example1.dat

You still can use negative column numbers to start counting from the right. Thus, the sum of the values on last column:

sum -c -1 example1.dat

If the input file's columns are separated by another character instead of whitespace characters (space, tab, newline, return, formfeed), like CSV files, you can use the -s option to denote this. The next example outputs a statistical summary about the second column of the following file (example2.dat):

"A",10,12
"A",11,14
"B",5,8
"B",6,10
"A",10.5,13
"B",7,11

Calculating the summary:

summary -c 2 -s , example2.dat

Commonly, data files may contain a head, i.e., the first line describes the columns, something like the example3.dat file showed below:

Year,Make,Model,Description,Price
1997,Ford,E350,"ac abs moon",3000.00
1999,Chevy,"Venture ""Extended Edition""","",4900.00
1999,Chevy,"Venture ""Extended Edition, Very Large""","",5000.00
1996,Jeep,Grand Cherokee,"MUST SELL!air, moon roof, loaded",4799.00

The -b option remove the first line from calculations. In this case, the mean price of the cars is given by:

mean -b -s, -c-1 test/example3.dat

Piping data

All stats-tools read data from standard input if no file is passed to them. The following command calculates the max value on the second column containing the word bar in the file foo.dat:

grep bar foo.dat | max -c 2

Bugs and Feedback

If you discover any bugs or have some idea, feel free to create an issue on GitHub:

http://github.com/jweslley/stats-tools/issues

Product's homepage

Requirements:

· Python
· NumPy
· SciPy

### TAGS:

command-line statistics | statistics tools | command-line | statistics | tools

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