## Predictors Flow Chart

## Predictors

Below is the change in Mood seen after the predictor is higher than average.

## Daily Distribution

## Average by Year

## Average by Month

## Average by Day of Week

### Predictors Label

Predictors

of

Below is the change in after the listed predictor 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">
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(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.">
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### Mood Info

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

Variable Name | Mood (%) |

Aggregation Method | MEAN |

Analysis Performed At | 2020-10-09 |

Duration of Action | 24 hours |

Kurtosis | 1.0576098901099 |

Mean | 38.878 percent |

Median | 42.1875 percent |

Number of Aggregate Predictors | 30 |

Number of Aggregate Outcomes | 4 |

Number of Measurements | 45 |

Number of Measurements (including those generated by tagged, joined, or child variables) | 45 |

Public | false |

Onset Delay | 0 seconds |

Standard Deviation | 12.063501264319 |

Unit | Percent |

User Variables | 4 |

UPC | 091037446671 |

Variable Category | Emotions |

Variable ID | 5631761 |

Variance | 171.6059981685 |