TSV
Data Analysis Techniques - TSV
Data analysis techniques are statistical and machine learning methods used to extract valuable insights from large datasets and support decision-making. Various techniques exist depending on the purpose, such as regression analysis, cluster analysis, and principal component analysis, applied for prediction, classification, segmentation, and dimensionality reduction. In the modern big data era, these techniques have become essential tools across all industries including marketing, healthcare, finance, and manufacturing.
data analysis
statistics
machine learning
regression analysis
cluster analysis
principal component analysis
data science
predictive analytics
code slug name description category learningType
01 regression-analysis Regression Analysis A statistical method that models relationships between variables for prediction. Predictive Analysis supervised
02 cluster-analysis Cluster Analysis An unsupervised learning method that groups data based on similarity. Segmentation unsupervised
03 principal-component-analysis Principal Component Analysis A dimensionality reduction technique that compresses high-dimensional data into lower dimensions. Dimensionality Reduction unsupervised
04 factor-analysis Factor Analysis A method that extracts latent factors underlying observed data. Dimensionality Reduction unsupervised
05 discriminant-analysis Discriminant Analysis A method that creates discriminant functions to classify data into groups. Classification supervised
06 time-series-analysis Time Series Analysis A method that analyzes trends and periodicity in data along a time axis. Predictive Analysis supervised
07 decision-tree-analysis Decision Tree Analysis A method that builds tree structures through conditional branching for classification and prediction. Classification and Prediction supervised
08 association-analysis Association Analysis A method that discovers association rules between items. Pattern Discovery unsupervised
09 correlation-analysis Correlation Analysis A method that measures the strength and direction of relationships between variables. Relationship Analysis unsupervised
10 abc-analysis ABC Analysis A method that classifies items into three groups based on importance. Prioritization unsupervised