Intended audience: end-users data science developers
AO Easy Answers: 4.3
Overview
Quick Insights can be generated at runtime by the user from Apps on the Easy Answers Results page, or from a scheduled task created by the Solution Developer using the Insight Composer in the AO Platform. This topic covers the Quick Insights relating to Categorical Data.
For Categorical Data
-
Test for Rates - Binomial Single Series Test -
Test for Rates - Binomial Test - 2 Series Group Comparison (Compare Group-1 with Sum of Group-1 and 2) -
Test for Rates - Binomial Test - 2 Series Group Comparison (Compare Group-1 with Group-2) -
Test for Means - One Sample T-Test -
Test for Means - Two Sample T-Test / AB Test -
Test for Means - Multi Sample T-Test -
Test for Means - Single Series T-Test (One Sample Data to 2 Groups) -
Test for Proportions - Chi-Squared Test
Summary of Quick Insights
|
|
Chi-Squared Test |
One-Sample T-Test |
Two-Sample T-Test |
Binomial Test |
Correlation - Categories |
|---|---|---|---|---|---|
|
Number of Series |
Should have 1 series |
Should have 1 series |
Should have 2 series |
Should have 2 series |
Should have at least 2 series |
|
Type of Data |
Discrete Data (not float values) |
Continuous Data (not integer values) |
Continuous or Discrete Data |
Discrete Data |
Continuous or Discrete Data |
|
Charts Examples |
Bar / Line Chart / Forest Plot |
Bar Chart / Forest Plot |
Stacked or Grouped Bar / Forest Plot |
Stacked or Grouped Bar / Forest Plot |
Correlation Heatmap |
|
Examples |
The number of subscriptions from different states of the USA will show the highest and lowest. |
Is the average percentage change of the stock different from zero, will compare the average of the series with a given value. |
Is the average quarterly revenue different after the increase in the marketing budget. Will compare average quarterly revenues before and after the change in marketing budget. |
Number of male subscriptions vs female subscriptions for each state/ month, will count of male subscriptions vs female subscriptions. |
Time series of 2 stocks data will give insights into positive or negative correlation. |
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