Category:Definitions
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Data science draws on numerous disciplines, including statistics, machine learning, econometrics, marketing science, mathematics, political science, sociology, and market research. Unfortunately, there is no standard terminology across these disciplines. The purpose of providing definitions is to provide a consistent terminology throughout the documentation of Displayr.
Subcategories
This category has the following 5 subcategories, out of 5 total.
C
M
P
R
W
Pages in category 'Definitions'
The following 200 pages are in this category, out of 269 total.
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C
- Categorical Variable
- CATI
- Census
- Chart
- Choice Set
- Choice Simulator
- Churn
- Closed-Ended Question
- Cluster
- Cluster Sampling
- Cluster-based Segmentation
- Clustered Data
- Coding
- Coefficients
- Completely Randomized Design
- Concept
- Concept Board
- Concept Test
- Confidence Interval
- Confidence Level
- Confusion Matrix
- Constant-Sum Data
- Constructed Variable
- Contextual Variables
- Continuous Variable
- Copying Down
- Correlation
- Correlation Matrix
- Correspondence Analysis
- Count Variable
- Covariance
- Covariance Matrix
- Cronbach's Alpha
D
F
I
L
M
- Main Diagonal
- Manual Categorization - Multiple Overlapping Categories
- Margin of Error
- Market Definition
- Market segment
- MaxDiff Mixture Models
- Measurement Scale
- Median
- Metadata
- Midpoint Recoding
- Missing Values
- Mixed Mode Cluster Analysis
- Mixed Multinomial Logit Model
- Mixed-Mode Tree
- Mixture Models
- Mode
- Moderator
- Multi-Item Scale
- Multinomial Logit Model
- Multiple Response Data
- Multiple Response Question
- Multistage Sampling
N
O
P
- P-Value
- Page
- Pages Tree
- Panel
- Parameter
- Parameters
- Parsimony
- Partial Ranking
- Participant
- Pearson's Product-Moment Correlation
- Percentile
- Pick-C
- Placebo
- Population
- Population Definition
- Precision
- Predictive Model
- Predictor Variables
- Price-Demand Curve
- Probability Sampling
- Probing
- Programming
- Programming Instructions
- Prohibitions
- Projective Techniques
- Push Polling
R
- R Language
- R Variable
- R-Square
- Random
- Random Sampling
- Random Utility Theory
- Randomization
- Randomizations
- Rank-Ordered Logit Model With Ties
- Ranking
- Rating Scale
- Ratio-Scale Variable
- Raw Data
- Recoding
- Repeated Measures
- Replication
- Researcher
- Residuals
- Respondent
- Response Rate
- Response Styles
- Revealed Preference Data
- Ribbon