EDA & Statistics
Discover patterns, distributions, and relationships through statistical analysis and visualization.
Categorical Data Analysis: Analyzing Discrete Variables
BeginnerCategorical data analysis encompasses methods for exploring, summarizing, and testing relationships involving discrete variables. Unlike continuous data,…
Correlation Analysis: Measuring Relationships Between Variables
IntermediateCorrelation analysis measures the strength and direction of the linear relationship between two variables. It quantifies how much variables change together -…
Descriptive Statistics: Measures of Central Tendency and Dispersion
BeginnerDescriptive statistics are methods for organizing, summarizing, and presenting data in a convenient and informative way. They provide simple summaries about…
Distribution Analysis: Understanding Data Shape and Patterns
BeginnerDistribution analysis examines how data values are spread across the range of possible values. A distribution describes the frequency or probability of…
Distribution Plots: Visualizing Data Shape and Spread
BeginnerDistribution plots are visualizations specifically designed to reveal the shape, central tendency, and spread of data. Unlike summary statistics alone,…
Hypothesis Testing: Making Data-Driven Decisions
IntermediateHypothesis testing is a statistical method for making decisions using experimental data. It provides a formal framework to determine whether observed patterns…
Relationship Plots: Visualizing Associations Between Variables
IntermediateRelationship plots visualize associations between two or more variables, revealing patterns, trends, clusters, and outliers that numerical summaries alone…
Visualization Guide: Choosing the Right Plot for Your Data
BeginnerData visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools…