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What are the precise structural changes in the GMAT Focus Edition data insights section compared to the legacy integrated reasoning, and how do Manhattan Prep materials reflect this?

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SEED QUERY
What are the precise structural changes in the GMAT Focus Edition data insights section compared to the legacy integrated reasoning, and how do Manhattan Prep materials reflect this?
2 real searches · 1 real-search pass
GMAT Focus Edition Data Insights section structure compared with legacy Integrated Reasoning question types number questions timing scoring no calculator changesGoogle ↗
OBSERVEDReason
Manhattan Prep GMAT Focus Data Insights materials Integrated Reasoning changes course books question typesGoogle ↗
OBSERVEDReason

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

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Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

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Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
GMAT Focus Edition Data Insights section structure compared with legacy Integrated Reasoning question types number questions timing scoring no calculator changes Google ↗
Manhattan Prep GMAT Focus Data Insights materials Integrated Reasoning changes course books question types Google ↗

Queries

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Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
GMAT Focus Edition Data Insights section structure compared with legacy Integrated Reasoning question types number questions timing scoring no calculator changes
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
Manhattan Prep GMAT Focus Data Insights materials Integrated Reasoning changes course books question types
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1