Category: AD3301 -DATA EXPLOARATION AND VISUALIZATION / II YEAR / III SEM
CASE STUDY – UNIT-3: UNIVARIATE ANALYSIS
Univariate Analysis is the statistical examination of a single variable at a time to understand its distribution, central tendency, and
CASE STUDY – UNIT-2 DATA VISUALIZING USING MATPLOTLIB
Data visualization using Matplotlib refers to the process of creating graphical representations of data using the Matplotlib library in Python.
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CASE STUDY – UNIT-1 EXPLORATORY DATA ANALYSIS
Exploratory Data Analysis (EDA) is the process of summarizing and visualizing datasets to discover patterns, trends, and anomalies. It helps
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UNIT V- MULTIVARIATE AND TIME SERIES ANALYSIS- 2 Marks
Multivariate and Time Series Analysis involves examining datasets with multiple variables over time to uncover patterns, relationships, and trends. It
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UNIT IV- BIVARIATE ANALYSIS- 2 Marks
Bivariate Analysis explores the relationship between two variables to identify correlations, trends, or patterns. Common tools include scatter plots, correlation
UNIT – III UNIVARIATE ANALYSIS- 2 Marks
Univariate Analysis involves examining a single variable to understand its distribution, central tendency, and dispersion. It helps identify patterns using
UNIT – II DATA VISUALIZING USING MATPLOTLIB- 2 Marks
Data visualization using Matplotlib involves creating graphical representations of data to reveal patterns and insights. It supports various plots like
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UNIT – I EXPLORATORY DATA ANALYSIS- 2 Marks
Exploratory Data Analysis (EDA) is the process of visually and statistically examining datasets to uncover patterns, spot anomalies, and test