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:

  • Inaccurate reporting due to mismatched groupings

  • Over- or under-counted metrics because of defaults or missing logic

  • Manual cleanup for grouped outputs before downstream use

  • Rigid dashboards that can’t pivot on demand

Edilitics simplifies this through:

  • Dynamic grouping by any non-nested column

  • Type-aware default aggregations for every column

  • Real-time previews and aggregation edits

  • Custom naming for all result columns

How to Group By Columns in Edilitics

  • 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.

  • Review default aggregations

    • Numerical Columns → Default: Sum

    • Categorical & Datetime Columns → Default: Count

  • Adjust aggregation logic

    For each non-grouped column, choose from type-specific aggregation options. Only valid methods appear based on column type.

  • Edit output column names

    Edilitics auto-generates names like sum_SalesAmount or count_CustomerID. You can override these as long as they follow naming rules:

    • Alphanumeric + underscores only

    • Cannot start with numbers or underscores

  • Drop or exclude fields (optional)

    Remove any non-grouped fields from the output.

  • 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 TypeAvailable Aggregations
Categorical / DatetimeCount, Count Distinct, Mode
NumericalSum, 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

IndustryGroup ByAggregationsUse Case
RetailProductCategorysum_SalesAmount, mean_SalesAmount, count_TransactionsUnderstand average and total sales by product line
HealthcareDepartmentcount_VisitID, count_distinct_PatientIDTrack visit frequency and patient diversity by department
FinanceAccountTypesum_TransactionAmount, max_TransactionAmount, mean_BalanceAnalyze spend behavior across different account types
ManufacturingFactorysum_ProductionUnits, min_ProductionUnits, max_ProductionUnitsCompare total and peak output by facility
EducationClassmean_Score, stddev_Score, count_StudentIDEvaluate 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_SalesAmount
FROM sales_data
GROUP 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:

  • Schema-aware – No unsupported column types

  • Auto-defaulted – Logical defaults for all columns

  • Customizable – Full aggregation control + naming flexibility

  • 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

For technical inquiries, implementation support, or enterprise-level assistance, our dedicated technical support team is available to ensure optimal deployment and utilization of Edilitics solutions. Please contact our enterprise support desk at support@edilitics.com. Our team of specialists will respond promptly to address your requirements.

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