Create time-series-analysis repo.
Create relocatable tsa-virtualenv
Install numpy and pandas in virtualenv.
Implement a ControlChart class with support for:
* calculating mean, median, upper and lower control limits
* identifying points outside of upper and lower control limits
Add pythonic .gitignore.
Specify MIT License.
Switch to Apache 2 license.
Create program to analyze a series of data:
* create analyze_series shell program using AnalyzeSeriesCommand
* create AnalyzeSeriesCommand, which accepts an input file and verbosity configurations as arguments
Read data series from file, analyze it with a ControlChart, and print descriptive statistics.
Add example data to demonstrate use of analyze_series.  Improve analyze_series' command-line help.
Use standard IO error code.  Value taken from EX_IOERR in sysexits.h.

Part of issue #1.
Extract data series used for testing.  Switch container type from list to tuple because tuples are immutable.
Add support for asserting that the last point in the data series is in control.  The assertion:
 * is activated via the new --assert-last-point-in-control command-line option
 * will cause the analyze_series command to exit with a status code of 2 when the last point is out-of-control, note that if the series has out-of-control points that are _not_ the last point the exist status will still be 0
Clarify and improve formatting of usage section.
Expand documentation of analyze_series
Link to issue #3
Add acknowledgement and thanks.
Issue #2 - Rename to facilitate packaging in conformance with http://www.scotttorborg.com/python-packaging/.
Issue #2 - Initial version of setup.py.  Test execution works.
Issue #2 - Specify dependencies.