Collecting information is the easy part of it. When a company or an institution wants to have a market research or use information to understand trends so they can target their products better, making the actual surveys or analyzing the market is the easy part.
All that information has to be analyzed and then produce a result that will give companies or institutions a point of start or an objective for their activities.
Well, for this purpose we have Statistical Software solutions that make it easier to analyze that huge amount of information and make it easier for the viewers to understand and take decisions. But how many statistical software are out there? Even more, what are their characteristics and what makes them good or bad for companies and institutions?
David Kiger took the time to take a look at many of these softwares and he produced a small list with the best free software out in the market and for everybody to grab and use. Enjoy.
Statistical software is a program which is used for the statistical analysis of the collection, organization, analysis, interpretation and presentation of data.
The first one in the list is the SAS University Edition. This software has a lot of new gadgets and the newest releases of SAS Studio, Base SAS, SAS/ACCESS, SAS/IML and SAS/STAT. some of its characteristics are an intuitive interface that can have a direct relation with the software, a very amazing language used in programming that can be easily learnt, user friendly, new updated statistical methods and a powerful and flexible matrix programming language. The software provided by the university has very easy access to statistical software for topics such as economics, computer science, social sciences, medicine, business, health, and engineering. The software can be easily used on any computer and it comes with videos and classes that help the user get more used to the program and with access to the SAS Analytics U community.
The second one in the list is the PSPP software which is used in the analysis of sampled data and that provides the users with a graphical interface. It could be used just as the IBM SPSS Statistics and it has descriptive statistics, ANOVA, regression and cluster analysis both linear and logistic, T-tests and factor analysis, non-parametric tests and many other things. PSPP has the ability to produce very good plots to help users see the data and information in a more simple way. The plots are box plots and whisker plots, histograms and normal probability plots.
The ADaMSoft is the next one to be analyzed. First of all, this one is developed by experts, the JAVA guys, and it is an open source statistical software that also admits Neural Networks Graphs, Linear regression, MLP, Data Mining, Statistical classification, Logistic regression, Data Editing, imputation, Record linkage methods, Cluster analysis, Decision trees, Principal component analysis and Correspondence analysis.
The R software is an application of the S language and for computing and graphics. The R language is very well-known in the statisticians community and it is used for data miners and for data analysis. Many techniques are supported by this software such as linear and nonlinear modelling, time-series analysis, classical statistical tests, clustering, and classification. There is one advantage that the R language has and it is that it is very easy to produce quality plots such as mathematical symbols and formulas.
Within the R language, you can find the pbdR series. This package is boosted with SPMD parallelism for big data analysis. PBDR stands for Programming with Big Data in R project and it can use large HPC platforms with a lot of cores.
Next, comes the Shogun software. This software is a big toy for big boys. This is a very large scale toolbox that can support almost anything mentioned before. It also has interfaces to Octave, Python, Matlab and R. this software is very useful for large scale learning, classification, and explorative data analysis.
The CSPro is a Census and Survey Processing System that was created by the U.S. Census Bureau and ICF International. The uses that are most commonly applied to this software are entering, mapping, tabulating, editing and disseminating census and survey data.
And finally the Gretl software. The Gretl is an amazing library that includes Gnu Regression, Time-series, and econometrics. This software is very popular among companies that are looking for econometrics with a graphical user interface. Gretl includes Estimators such as least squares, GMM and maximum likelihood and a variety of methods such as single equation, time series and system methods such as GARCH, ARIMA, VECMs and VARs.
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* Featured Image courtesy of Unsplash at Flickr.com