(Easy!) Statistic analysis, spreadsheets, easy data visualization, mining, LOOK!!!

(IF NEEDED)(Click^ then find) Open-Source Alternatives

IF/WHEN using R... sounds complicated maybe not... If not using R (i.e. experimenting w GUI & databases or csv, try others on this list... better yet is click IBM SPSS /alternative. + open-source - to see the descriptions, summaries, fx's...

jamovi is a free and open statistical platform which is intuitive to use, and can provide the latest developments in statistics.

Deducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which to view and edit data frames.

RKWard is an easy to use, transparent frontend to the R programming language, a very powerful, yet hard-to-get-into scripting-language with a strong focus on statistic functions. RKWard tries to combine the power of the R-language with the ease of use of commercial statistical...

SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as you go, and beautiful output. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, SQLite, MS Access, and MS SQL Server.

An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Currently ready for users.

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much...

Knime is a java open-source, cross-platform application which name means "Konstanz Information Miner". It is actually used extensively for data mining, data analysis and optimization. It can be downloaded as the core application itself(Knime Desktop), or the whole SDK...

JASP is a free and open-source graphical program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.