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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
Business analytics divided into 4 levels
or parts:
1. Descriptive
2. Diagnostic
3. Predictive
4. Prescriptive
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.
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
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
Data Summarizing Through Table
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 .
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.
Data View
Variable View
Analyze
Frequency Distribution Tab
Display on Output Tab
Data Summarizing Through
Graphs/Charts
Ordinal & Nominal
For Pie Chart
Pie Chart
For Bar Chart
Bar Chart
Data Summarizing Through
Histogram
Histogram
BoxPlot
 A boxplot is a graph that gives you a good indication of how
the values in the data are spread out
Business analytics
Business analytics

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