Descriptive Analysis: Graphical Approaches

Data and Statistics

Data is more often numbers which contains some kind of information. Data as a value of quantitative/ qualitative variables.

Variables of different types:
  • Quantitative: Numeric (Continuous/ Discrete)
  • Qualitative: Categorical (Discrete)
    • Nominal
    • Ordinal (Order)
Descriptive Statistics: Idea of quantitatively identifying data. Crunch the data/ summarize the data. 
  • Graphical Representation
  • Tabular Representation
  • Summary Statistics
Descriptive Statistics do not allow us to make analysis beyond the data that we have. 
Present the data into simpler interpretation rather than showing the entire data.
Descriptive statistics is about multiple variables. 
Showing interrelationships between different variables.

Graphical Representation Technique

For Qualitative Variables
  • Bar Graph
  • Pie Chart
For Quantitative Variables
  • Box Plot
  • Histogram Representation
For Multiple Variables Data
  • Scattered Data
  • Box Plot
  • Contingency Table
References:
www.nptel.iitm.ac.in from Introduction to Data Analytics

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