## Outcomes Network Graph

## Outcomes Flow Chart

## Outcomes

Below is the degree of change seen after Spending on Men's is higher than average.

## Daily Distribution

## Average by Year

## Average by Month

## Average by Day of Week

### Outcomes Label

Outcomes

of

Below is the change in the listed outcome after
is higher than average.

(Math.abs(a['change']) < Math.abs(b['change'])) ? 1 : -1)" title="Click to put the results with the largest observed change at the top">
Sort by Effect Size

(a['number_of_days'] < b['number_of_days']) ? 1 : -1)" title="Click to put the results with the most supporting data points at the top.">
Sort by Confidence

### Spending on Men's Info

Property | Value |
---|---|

Variable Name | Spending On Men's |

Aggregation Method | SUM |

Analysis Performed At | 2020-10-10 |

Duration of Action | 30 days |

Filling Value | 0 |

Kurtosis | 1125.3599751731 |

Mean | $18.1346608 |

Median | $18.124 |

Minimum Allowed Value | $0 |

Number of Aggregate Predictors | 0 |

Number of Aggregate Outcomes | 35 |

Number of Measurements | 0 |

Number of Measurements (including those generated by tagged, joined, or child variables) | 7 |

Public | true |

Onset Delay | 0 seconds |

Standard Deviation | 0.35230067433162 |

Unit | Dollars |

User Variables | 6 |

Variable Category | Treatments |

Variable ID | 6034400 |

Variance | 0.62057882567258 |