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Concept
Categorical Data
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Summary
Categorical data
represents variables that can be divided into
distinct categories
, often without a
natural order
, and is used in
statistical analysis
to
classify data points
. Handling
Categorical data
effectively is crucial for
accurate data analysis
and modeling, as it often requires
encoding techniques
to convert it into a
numerical format
for algorithms that require
numerical input
.
Concepts
Nominal Data
Ordinal Data
One-Hot Encoding
Label Encoding
Categorical Variables
Data Preprocessing
Feature Engineering
Data Visualization
Chi-Square Test
Contingency Table
Mode
Pie Chart
Discrete Data
Discrete Variable
Scale Of Measurement
Stratum Levels
Levels Of Measurement
Encoding Categorical Variables
Ordinal Encoding
Hash Encoding
Feature Encoding
Ordinal Scale
Data Measurement Levels
Multinomial Logit Model
Dummy Variable Trap
Indicator Variable
Chi-square
Nominal Scale
Bar Charts
Bar Chart
Relevant Degrees
Computer Science and Data Processing 63%
Probability and Statistics 38%
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