This document discusses various computer software packages that are used for data analysis. It describes how researchers can use computer-assisted data analysis and mentions fields that commonly use these tools like sociology, psychology, and medicine. Examples of specific software packages are given like SPSS, Excel, Minitab, Stata, and Origin which can assist with tasks like data management, statistical analysis, data visualization, and modeling. Details are provided on the uses, features, and examples of how to operate some of these programs.

3. COMPUTER FOR DATA ANALYSIS

4. •Researchers can use computer assisted
data analysis.
•Computer software is used in many
academic fields, such as sociology,
psychology, political science, medicine and
educational science.
•Computer Software serves to provide
insights into qualitative data sets without
suggesting interpretations.
• Text analysis allow for easy sorting,
structuring, and analyzing of large amounts of
text.

5. USE OF COMPUTER FOR DATA ANALYSIS
• When you are handling large amounts of data and need to store or to
arrange data items efficiently.
• The ability of a computer to make repetitive calculations rapidly and
accurately has revolutionised quantitative research.
• There are large numbers of computer programs that can assist with
quantitative analysis.
• Probably the most commonly used are Matlab, Excel and SPSS.

6. DATA ANALYSIS SOFTWARE PACKAGES
SPSS
EXCEL
N6
MINITAB
NVIOLISREL ORIGIN
FRONT
EVIEWS

7. NVIO
• This software used numerical
data.
• To find original opinion sharing
through social through social
network like whatsapp, FB,
twitter, hike, linkedin, etc.

8. EVIEWS
• It’s used for secondary data
• To get more accuracy of charts
• Forecasting the data
• Draw a model like ARCH,GARCH,
E-GARCH,ARIMA
• Eviews software like GAUSS,
MATLAB,
RATS, R, STATA,ETC.,

9. LISREL
• LISREL (linear structural relations) is a
proprietary statistical software package used
in structural equation modelling (SEM)
for manifest and latent variables.
• It requires a "fairly high level of statistical
sophistication”.
• LISREL was developed in the 1970s by Karl
Jöreskog.
• The most current version, as of 2016, is LISREL 9.3.

10. LIMDEP
• LIMDEP is an econometric and statistical software package with
a variety of estimation tools.
• The package also provides a programming language to allow
the user to specify, estimate and analyze models that are not
contained in the built in menus of model forms.
• LIMDEP was first developed in the early 1980s.
• It was founded in 1985 by William H. Greene.

11. PLS
• Partial least squares regression is a statistical method that bears some
relation to principal components regression; instead of finding hyperplanes of
maximum variance between the response and independent variables, it finds
a linear regression model by projecting the predicted variables and
the observable variables to a new space.
• PLS was introduced by the Swedish statistician Herman O. A. Wold, who then
developed it with his son, Svante Wold.

12. STATA
• Stata is a general-purpose statistical software package
created in 1985 by StataCorp.
• Most of its users work in research, especially in the fields
of economics, sociology, political, science and etc.
• Stata's capabilities include data management, statistical
analysis, graphics, simulations, regression, and custom
programming.

13. ORIGIN
• Origin is a proprietary computer program for
interactive scientific graphing and data analysis. It is produced
by OriginLab Corporation, and runs on Microsoft Windows.
• Graphing support in Origin includes various 2D/3D plot types.
• Origin imports data files in various formats such as ASCII
text, Excel, NI TDM, DIADem, NetCDF, SPC, etc.

14. DEA
• Data Envelopment Analysis (DEA) is
a nonparametric method in operations
research and economics for the estimation
of production frontiers.
• It is used to empirically measure productive
efficiency of decision making units.
• Although DEA has a strong link to production
theory in economics, the tool is also used for
benchmarking in operations management.

15. MINITAB

16. MINITAB
• Menu-driven statistical software, but does have scripting language available
for typing commands or creating macros
• Used in most Six Sigma courses and workshops
• Help documentation located in software as well as online
• Used by many analysts to quantitatively make decisions
• Common fields:
– Social science
– Marketing
– Education
– Sociology
– Manufacturing
– Agriculture
– Pharmaceutical science
– Engineering

17. MINITAB: USAGE
• Data can be typed in, copied and pasted from a text or Excel
file, or imported through menu-driven prompts
• New variables can be added to worksheet or created using
formulas
• Worksheets contain raw data and only one worksheet can be
active at a time
• Can create and save macros and/or commands
• Session window displays output
• Graphs and other visual charts are shown in individual
windows
• Project manager contains outline that helps you to jump to
particular output
• Worksheet can be saved separately, but saving whole project
will save both worksheet and output

18. MINITAB: EXAMPLES
• Copy data into Minitab from a text file
• Create a new variable using formula
• Use Assistant to do a graphical analysis
• Create a factorial design for an experiment

19. MINITAB: EXAMPLES
• Copy data into Minitab from a text file

20. MINITAB: EXAMPLES
• Create a new variable using formula

21. MINITAB: EXAMPLES
• Use Assistant to do a graphical analysis

22. MINITAB: EXAMPLES
• Use Assistant to do a graphical analysis

23. MINITAB: EXAMPLES
• Use Assistant to do a graphical analysis

24. MINITAB: EXAMPLES
• Create a factorial design for an experiment

25. MINITAB: EXAMPLES
• Create a factorial design for an experiment

26. SPSS
• Menu-driven statistical software, but does have scripting language
available for typing commands or creating macros
• Used in conjunction with many common survey platforms, and is
the leading software for analyzing survey data
• Used by many analysts to quantitatively make decisions
• Common fields:
– Social science
– Marketing
– Education
– Sociology
– Healthcare
– Government

27. SPSS: USAGE
• Data can be typed in, copied and pasted from a text or Excel file,
imported through menu-driven prompts, or read in from a ASCII
file using Syntax editor
• New variables can be added to worksheet or created using
formulas
• Datasets contain raw data and only one dataset can be active at a
time
• Output window displays output, including graphs
• Output can be copied and pasted into other documents
• Dataset and Outputs are saved separately
• Optional syntax window can read and run commands and can also
be saved separately

28. SPSS: EXAMPLES
• Cody data from text file into SPSS spreadsheet
• Edit variable names and information
• Create a contingency table
• Fit a linear model

29. EXPLORING SPSS

30. SPSS: EXAMPLES
• Cody data from text file into SPSS spreadsheet

31. SPSS: EXAMPLES
• Edit variable names and information

32. SPSS: EXAMPLES
• Edit variable names and information

33. SPSS: EXAMPLES
• Create a contingency table

34. SPSS: EXAMPLES
• Create a contingency table

35. CONCLUSION
• A computer for data analysis aimed at raise awareness about scholars.
• who work with software has been developed; and the effectiveness
of this package was evaluated, in both educational and entertaining
aspects.
• The study demonstrated that students who received the information
via the package had higher retention performance and level of
enjoyment compared with students who received the same
information via reading the leaflet.
• These superior factors, however, did not translate to superior
confidence in identifying a scholar.

36. THANKING U FOR UR ATTENTION