Stats and Extended Stats Aggregations
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What is Stats and Extended Stats Aggregations?
Stats and Extended Stats aggregations are used to calculate various statistical measures from a set of numeric values. The Stats aggregation provides basic statistics like count, min, max, average, and sum. The Extended Stats aggregation builds upon this by adding standard deviation, sum of squares, variance, and other related metrics, offering a more comprehensive statistical overview of the data.
Free resources to learn Stats and Extended Stats Aggregations
More in stage 7: Search Analyzer
- Search Analyzer
- Doc values
- fielddata
- The Inverted Index
- The Analyze API
- Standard Analyzer
- Custom Analyzers
- Value Count
- Avg / Sum / Min / Max
- Cardinality
- Terms
- Range / Date Range
- Histogram
- Filter Aggregations
- Pivot
- Latest
- Transform API
- Nested Aggregations
- Pipeline Aggregations
- Understanding Similarity
- BM25 algorithm
- CAT API
- Segment Merging
- Cluster Monitoring
- Cross-cluster Replication
- Autoscaling
- Boosting Queries
- Function Score Query
- Match Phrase Query
- Synonyms Graph
- ILM
- Rollover Policies
- Data Tiers
- Vector Search
- Semantic Search
- Hybrid Search
- Snapshots & restore
- SLM
- Authentication
- Roles & Users
- API Keys
Stats and Extended Stats Aggregations: common questions
Can I learn Stats and Extended Stats Aggregations in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Stats and Extended Stats Aggregations in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Stats and Extended Stats Aggregations tutorial for beginners?
It is lesson 82 of 113 in the free Elasticsearch roadmap, in stage 7, Search Analyzer. If you are new to Elasticsearch, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.