Exploratory Data Analysis

Data Exploration (or Exploratory Data Analysis) is about describing the data by means of statistical and visualization techniques. We explore data in order to bring important aspects of that data into focus for further analysis.

Exploratory Data Analysis for Data Science
Exploratory Data Analysis

Exploratory Data Analysis for Data Science

1. Univariate Analysis

Univariate analysis means exploration of single variable. Variables can be categorical or numerical.

Bar chart, Range, IQR, Variance, Skewness, Kurtosis, etc.

Types of Data Numerical Variable Categorical Variable

2. Bivariate Analysis

Bivariate analysis is the simultaneous analysis of two variables. Exploring 3 combinations of relationship between two variables as follows.

Correlation, Scatter plot, Chi-sqaure test, Bar chart, Z test, T test, etc.

Num. & Num. Cat. & Cat. Num. & Cat.

3. Multivariate Analysis

Multivariate means involving multiple dependent variables resulting in one outcome. Majority of the problems in the real world are Multivariate.

Cluster Analysis Principal Component Analysis Correspondence Analysis
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