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Exploratory Data Analysis

Exploratory Data Analysis - NIT Sri

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Page 1: Exploratory Data Analysis - NIT Sri

Exploratory Data

Analysis

Page 2: Exploratory Data Analysis - NIT Sri

Introduction to exploratory data analysis

Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis

that employs a variety of techniques (mostly graphical) to maximize insight

into a data set;

uncover underlying structure;

extract important variables;

detect outliers and anomalies;

test underlying assumptions;

develop parsimonious models; and

determine optimal factor settings.

Page 3: Exploratory Data Analysis - NIT Sri

Introduction to exploratory data analysis

Page 4: Exploratory Data Analysis - NIT Sri

EDA:-

Page 5: Exploratory Data Analysis - NIT Sri

Features of a Data Set

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Page 7: Exploratory Data Analysis - NIT Sri

Data Munging

Page 8: Exploratory Data Analysis - NIT Sri

Data Munging Tasks

Page 9: Exploratory Data Analysis - NIT Sri

Understanding the data

Page 10: Exploratory Data Analysis - NIT Sri

Data munging Tasks

Page 11: Exploratory Data Analysis - NIT Sri

Data munging Tasks

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Data munging Tasks

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Data munging Tasks

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Data munging Tasks

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Data munging Tasks