Tools Used

 

Origin of Geographic Information System Tool

The CV XE GIS (Geographic Information System) was developed by Warren Glimpse, founder of ProximityOne, in the late 1990s. The VDAGIS Visual Data Analytics Geographic information  system tools are developed and maintained by Warren Glimpse. ProximityOne, Alexandria, Virginia, United States and Hamilton Hamamoto, Tsukasa Consulting, Osaka, Japan.

 

Access real-time data through tools, part of the online version, including:

 

- Demographic Economic Data Explorer (DEDE)

 

- ChartGraphics -- population pyramids

 

- CV XE GIS (Geographic Information System)

 

- Visual Data Analytics Geographic Information System  (VDAGIS)

 

- VDAGIS Databases/Projects

 

- Demographic Analytics Tools

 

 

The choice of statistical software depends on the user's needs, whether they are in academia, government, or the private sector. The statistical programs used range from commercial, proprietary software to free, open-source alternatives.

 

Commonly Used Statistical Programs

R and Python: Both are highly popular, especially in academia and research. R is a programming language specifically designed for statistical computing and graphics, with a vast ecosystem of packages for various analytical tasks. Python, with libraries like NumPy, Pandas, and Scikit-learn, is a versatile choice for both data analysis and other programming applications. Their open-source nature makes them widely accessible.
Stata: This is a comprehensive statistical software package widely used in academic and research institutions, including several Italian universities. It's particularly well-regarded for its ease of use for new users while still providing powerful programming options for experienced researchers.
SAS: A powerful and well-established statistical software suite, SAS is known for its robust data management and advanced analytical capabilities. It is often used in corporate and governmental settings where high reliability and validated methods are required.
SPSS (IBM SPSS Statistics): This software is popular for its user-friendly, menu-driven interface, making it a favorite among social scientists and students who need to perform statistical analysis without extensive programming knowledge.
JASP and Jamovi: These are free, open-source alternatives to SPSS. They offer a similar graphical user interface and are becoming increasingly popular, especially for educational purposes, providing a user-friendly environment for statistical analysis.

 

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