Skip to main content
Version: v2.5

StateToState Button

Alternate states can be used for comparative analysis between different selections, among other reasons.

The StateToState Button allows you to transfer the selections from one state into another state.

Transfer Selection State 2
Transfer Selection State 2

States

  • stateFrom: State of the current selection.
  • stateTo: State the current selection should be transferred to when you click the button.
States - stateFrom, stateTo
States - stateFrom, stateTo

What is a state?

📝 Definition: In data analysis, state typically refers to the condition or status of a system or entity at a particular point in time. It represents the values of variables or attributes that describe the current state of the system under consideration.

Understanding the state is essential for analyzing and interpreting data.

  • Single State: When looking at a single state, it provides insights into how the system behaves and evolves over time.
  • Multiple states: Alternatively, comparing multiple states allows you to understand how different conditions or scenarios affect the behavior of a system, identify patterns, and make informed decisions based on the insights gained.
    • Parallel Analysis: Analyze multiple states simultaneously to understand how they differ from each other. For example, you can compare the performance of different product lines, regions, or time periods to identify which performs better or worse under certain conditions.
    • Sequential Analysis: Compare the evolution of states over time to understand trends, patterns, or changes in behavior. This involves analyzing how states transition from one to another and identifying factors that influence these transitions. For example, you can compare sales data for different quarters to see how performance fluctuates over time.
    • A/B Testing: Compare two or more states by conducting controlled experiments to evaluate the impact of changes or interventions. This involves dividing samples or populations into groups and exposing them to different treatments or conditions. For example, you can compare the conversion rates of two website layouts to determine which one performs better in terms of user engagement.
    • Segmentation Analysis: Compare states within different segments of your data to understand how various factors contribute to differences in behavior. This involves dividing your data into meaningful segments based on specific criteria (e.g., demographics, geographic location) and analyzing how states vary across these segments. For example, you can compare customer satisfaction scores for different customer segments to identify which segments are more satisfied with your products or services.
    • Benchmarking: Compare states against predefined benchmarks or standards to evaluate performance or progress. This involves setting performance targets or benchmarks based on industry standards, best practices, or historical data, and comparing actual performance against these benchmarks. For example, you can compare your company's process against a government regulation ideal model to assess its compliance.