Visualize Data Transformations

Explore how different transformations affect your data. Enter your data, choose transformations, and see the results instantly visualized.

Variable 1 Data (comma separated values) Transformation for Variable 1

Variable 2 Data (comma separated values) Transformation for Variable 2

Transformed Data:

Variable 1:

Variable 2:

About Data Transformation

Data transformation is a process of changing the format of data to make it more suitable for analysis. In statistics, it's often used to stabilize variance, make data more normally distributed, or linearize relationships between variables. Common transformations include:

Log Transformation: Compresses the scale of data, useful for reducing skewness and stabilizing variance in data with positive skew.
Square Root Transformation: Similar to log transformation, often used for count data.
Square Transformation: Increases the spread of data, can emphasize differences and non-linear patterns.
Inverse Transformation: Can linearize certain types of curves and is useful when dealing with ratios.

This tool helps you visualize the effect of these transformations on your data, making it easier to understand and apply them in your analyses.