The presentation on data summarization by the Prestige Institute of Management & Research covers methods such as tables, graphs, and histograms to interpret historical business data. It outlines the three phases of data summarization: variable selection, analytic method selection, and presentation format selection. Additionally, it emphasizes the importance of tailoring the analysis plan based on purpose, audience, and data quality.

1. Prestige Institute of
Management & Research
Business Analytics Presentation
Topic : Data summarization Method: Tables,
Graphs/charts, histogram, Frequency distribution
Presented By:
• Shubham Rangwar
• Siddhesh Shah
• Simran Jain
• Vaibhav Shinde
• Vinayak Shukla
Presented To:
Dr. Vipin Choudhary

2. Business analytics divided into 4 levels
or parts:
1. Descriptive
2. Diagnostic
3. Predictive
4. Prescriptive

3. Descriptive Analytics
•Descriptive analytics is
the interpretation of historical data to
better understand changes that have
occurred in a business.
•Describes the use of a range of
historic data to draw comparisons.

4. Data summarization
 Can reduce the data burden
 To be effective, the analysis plan should be
framed according to each of the following:
 Purpose of the analysis
 Audience for the analysis
 Data availability and data quality

5. Data summarization occurs in three
successive phases:
 Phase I: Selection of variables.
 Phase II: Selection of analytic methods.
 Phase III: Selection of presentation format.
Data summarization methods:
• Tables
•Graphs and charts
•Histogram
•Frequency distribution
•Box plot

6. Data Summarizing Through Table

10. Scales
 Nominal & Ordinal : In nominal and Ordinal
scale , it is preferable to use Bar chart or Pie
chart.
 Scale : Scale consist of Ratio and Interval , and
it is preferable to use Histogram .

11. Frequency
Frequency Distribution in SPSS
1. Click on Analyze -> Descriptive Statistics -> Frequencies.
2. Move the variable of interest into the right-hand column.
3. Click on the Chart button, select Histograms, and the press
the Continue button.
4. Click OK to generate a frequency distribution table.

12. Data View

13. Variable View

14. Analyze

15. Frequency Distribution Tab

16. Display on Output Tab

17. Data Summarizing Through
Graphs/Charts

18. Ordinal & Nominal

19. For Pie Chart

20. Pie Chart

21. For Bar Chart

22. Bar Chart

23. Data Summarizing Through
Histogram

25. Histogram

26. BoxPlot
 A boxplot is a graph that gives you a good indication of how
the values in the data are spread out