Group By Aggregations | Summarize Data with Precision, No Code Required
Groupings and aggregations are the foundation of any analytical workflow—yet most tools demand SQL fluency, complex CASE logic, or external modeling layers to get them right.
With Edilitics, grouping becomes a no-code, schema-aware experience. The Group By operation lets users aggregate metrics, count categories, and summarize behavior across any dimension—with full control over which aggregations to apply, and how they’re named.
Why Group By Matters
Without clean aggregation logic, organizations risk:
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❌ Inaccurate reporting due to mismatched groupings
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❌ Over- or under-counted metrics because of defaults or missing logic
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❌ Manual cleanup for grouped outputs before downstream use
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❌ Rigid dashboards that can’t pivot on demand
Edilitics simplifies this through:
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✅ Dynamic grouping by any non-nested column
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✅ Type-aware default aggregations for every column
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✅ Real-time previews and aggregation edits
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✅ Custom naming for all result columns
How to Group By Columns in Edilitics
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Choose your Group By field
Select any categorical, datetime, or numeric column to group by. Columns with nested types (e.g., structs, lists) are auto-excluded.
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Review default aggregations
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Numerical Columns → Default:
Sum
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Categorical & Datetime Columns → Default:
Count
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Adjust aggregation logic
For each non-grouped column, choose from type-specific aggregation options. Only valid methods appear based on column type.
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Edit output column names
Edilitics auto-generates names like
sum_SalesAmount
orcount_CustomerID
. You can override these as long as they follow naming rules:-
Alphanumeric + underscores only
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Cannot start with numbers or underscores
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Drop or exclude fields (optional)
Remove any non-grouped fields from the output.
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Add alternate aggregations (optional)
Add the same field multiple times with different aggregations (e.g.,
mean_Amount
,max_Amount
,stddev_Amount
). -
Submit and preview result
Apply the transformation to generate a grouped, aggregated table.
Available Aggregation Methods
Data Type | Available Aggregations |
---|---|
Categorical / Datetime | Count , Count Distinct , Mode |
Numerical | Sum , Count , Count Distinct , Min , Max , Mean , Median , Mode , Variance , Standard Deviation |
Each operation is auto-mapped to its column type. You can mix and match aggregations across fields to build full-fidelity summaries.
Real-World Use Cases
Industry | Group By | Aggregations | Use Case |
---|---|---|---|
Retail | ProductCategory | sum_SalesAmount , mean_SalesAmount , count_Transactions | Understand average and total sales by product line |
Healthcare | Department | count_VisitID , count_distinct_PatientID | Track visit frequency and patient diversity by department |
Finance | AccountType | sum_TransactionAmount , max_TransactionAmount , mean_Balance | Analyze spend behavior across different account types |
Manufacturing | Factory | sum_ProductionUnits , min_ProductionUnits , max_ProductionUnits | Compare total and peak output by facility |
Education | Class | mean_Score , stddev_Score , count_StudentID | Evaluate academic performance and distribution within each class |
Manual Equivalent – SQL & Pandas Examples
SQL Example – Redshift
SELECT ProductCategory, SUM(SalesAmount) AS sum_SalesAmount, COUNT(*) AS count_Transactions, AVG(SalesAmount) AS mean_SalesAmountFROM sales_dataGROUP BY ProductCategory;
Pandas Example
grouped = df.groupby('ProductCategory').agg({ 'SalesAmount': ['sum', 'mean'], 'TransactionID': 'count'})grouped.columns = ['sum_SalesAmount', 'mean_SalesAmount', 'count_Transactions']
In Edilitics, all of this is handled via dropdowns—aggregation logic, column naming, and schema validation built-in.
Governed, Flexible, and Deeply Customizable
The Group By operation in Edilitics is:
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✅ Schema-aware – No unsupported column types
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✅ Auto-defaulted – Logical defaults for all columns
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✅ Customizable – Full aggregation control + naming flexibility
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✅ Previewable – See before you commit
Whether you’re building KPI dashboards, comparing categories, or analyzing performance distributions, Edilitics makes it easy to group, summarize, and analyze—without code, without confusion, and without compromising governance.
Next: Chain Your Insights
After grouping, you’re ready to drive deeper insights by chaining with:
Enterprise Support & Technical Assistance