meridian.model.eda.eda_outcome.FindingCause Stay organized with collections
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Enumeration for the type of finding, mapping to specific data tables.
For informational findings that do not indicate a data issue.
For findings related to multicollinearity between
variables (e.g. from VIF or pairwise correlation checks).
For findings related to variables with extreme variability
issues, such as no variation (e.g. KPI invariability check or standard
deviation checks).
For findings related to inconsistent data points (e.g.
zero cost with positive media units, from cost per media unit check).
For findings that indicate a runtime error during an EDA
check.
For findings related to outliers in data (e.g. cost per media unit
outlier check).
<FindingCause.INCONSISTENT_DATA: 4>
<FindingCause.MULTICOLLINEARITY: 2>
<FindingCause.OUTLIER: 6>
<FindingCause.RUNTIME_ERROR: 5>
<FindingCause.VARIABILITY: 3>
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Last updated 2026-03-05 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-03-05 UTC."],[],[]]
