References
-
Weathington
J
5 things every data scientist should know about Excel
2015
Available at
http://www.techrepublic.com/article/5-things-every-data-scientist-should-know-about-excel/ [Accessed: 16-Jan-2016] -
Burns
P
Spreadsheet Addiction
2014
Available at
http://www.burns-stat.com/documents/tutorials/spreadsheet-addiction/ -
Moffitt
C
Common Excel Tasks Demonstrated in Pandas
2014
Available at
http://pbpython.com/excel-pandas-comp.html - McCullough B D Heiser D A On the accuracy of statistical procedures in Microsoft Excel 2007 Comput Stat Data Anal 2008 52 10 4570 4578 10.1016/j.csda.2008.03.004
-
GraphPad Software
GraphPad Prism version 6.0
2015
Available at
http://www.graphpad.com/scientific-software/prism/ -
IBM
IBM SPSS Statistics
2015
Available at
http://www-01.ibm.com/software/analytics/spss/ -
Sanders
J
Veusz
2015
Available at
http://home.gna.org/veusz/ -
Benkert
T
Franke
K
Standish
R
SciDAVis
2007
Available at
http://scidavis.sourceforge.net/ - Buffalo V Bioinformatics Data Skills 2015 O’Reilly Media
-
Heller
M
Learn to crunch big data with R
2015
Available at
http://www.infoworld.com/article/2880360/big-data/learn-to-crunch-big-data-with-r.html [Accessed: 07-Jan-2016] -
RStudio Inc.
RStudio: Integrated Development for R 2015 Boston MA - Oliphant T E Python for Scientific Computing Comput Sci Eng 2007 May 9 3 10 20 10.1109/MCSE.2007.58
-
Ward
N
Excel, SPSS, Minitab or R?
2013
Available at
https://learnandteachstatistics.wordpress.com/2013/02/11/excel-spss-minitab-or-r/ [Accessed: 09-Sep-2015] - Rougier N P Droettboom M Bourne P E Ten Simple Rules for Better Figures PLoS Comput Biol 2014 10 9 e1003833 10.1371/journal.pcbi.1003833
-
Data science retreat
R: the good parts
2013
Available at
http://blog.datascienceretreat.com/post/69789735503/r-the-good-parts [Accessed: 08-Jan-2016] -
Mckinney
W
Pandas, Python Data Analysis Library
2015
Available at
http://pandas.pydata.org/ - van der Walt S Colbert S C Varoquaux G The NumPy Array: A Structure for Efficient Numerical Computation Comput Sci Eng 2011 March 13 2 22 30 10.1109/MCSE.2011.37
-
The PyData Community
PyData
2015
Available at
http://pydata.org/downloads/ - Hunter J D Matplotlib: A 2D Graphics Environment Comput Sci Eng 2007 May 9 3 90 95 10.1109/MCSE.2007.55
-
Tanahashi
M
mjograph
2014
Available at
http://www.ochiailab.dnj.ynu.ac.jp/mjograph/ -
Waskom
M
Seaborn factorplot documentation
2015
Available at
http://stanford.edu/~mwaskom/software/seaborn/generated/seaborn.factorplot.html [Accessed: 12-Jan-2016] -
Statsmodels Developers
Statsmodels
2015
Available at
http://statsmodels.sourceforge.net/ -
Waskom
M
Seaborn
2012
Available at
http://stanford.edu/~mwaskom/software/seaborn/ 10.1109/MCSE.2007.53 - Pérez F Granger B E {IP}ython: a System for Interactive Scientific Computing Comput Sci Eng 2007 May 9 3 21 29
-
Kaggle
Titanic: Machine Learning from Disaster
2012
Available at
https://www.kaggle.com/c/titanic [Accessed: 16-Jan-2016] - Farrell D Shaughnessy R G Britton L MacHugh D E Markey B Gordon S V The Identification of Circulating MiRNA in Bovine Serum and Their Potential as Novel Biomarkers of Early Mycobacterium avium subsp paratuberculosis Infection PLoS One 2015 10 7 e0134310 10.1371/journal.pone.0134310
-
Project Jupyter
Jupyter Notebook
2015
Available at
http://jupyter.org/ [Accessed: 21-Jan-2016] -
Travis CI Community
Travis continuous integration
2011
Available at
https://travis-ci.org/ -
Furuhashi
S
MessagePack
2008
Available at
http://msgpack.org/index.html -
Tuininga
A
cx_Freeze
2014
Available at
http://cx-freeze.sourceforge.net/
DOI: https://doi.org/10.5334/jors.94 | Journal eISSN: 2049-9647
Language: English
Published on: Mar 22, 2016
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2016 Damien Farrell, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.
