CSV
textareaRequired input
Noderan MarketplaceData & Intelligence
Demo ReadyLive E2E verifiedDeterministic~6s
CSV Pivot Summarizer
Returns grouped metrics without spreadsheet setup.
Create a fast pivot-style summary from pasted CSV.
Workflow summary
Create a fast pivot-style summary from pasted CSV.
What is CSV Pivot Summarizer?
CSV Pivot Summarizer is a ready-to-run Noderan marketplace workflow for data & intelligence teams. It helps users move from a manual process to a repeatable automation with visible credit cost and app-based execution.
- Who is it for?
- Operators and analysts
- What problem does it solve?
- Create a fast pivot-style summary from pasted CSV.
- How does it work?
- Create a fast pivot-style summary from pasted CSV.
- How does pricing work?
- 1 credit per run.
- What is the next action?
- Open the app marketplace to activate this workflow, or review credit pricing.
CSV Pivot Summarizer FAQ
Short answers for activation, pricing, inputs, and execution review.
Returns grouped metrics without spreadsheet setup.
Expected inputs
Group by column
textRequired input
Metric column
textRequired input
Aggregation
selectRequired input
Options: sum, average, min, max, count
Demo input
Metric Column
revenueCsv
region,revenue EMEA,1200 NA,900 EMEA,800 APAC,700Aggregation
sumGroup By Column
regionView raw JSON
{
"metricColumn": "revenue",
"csv": "region,revenue\nEMEA,1200\nNA,900\nEMEA,800\nAPAC,700",
"aggregation": "sum",
"groupByColumn": "region"
}Output highlights
- row count
- group totals
- warnings
Example result
Row Count
4Group Count
3Aggregation
sumSummary Rows
1 structured item
Warnings
Rows with invalid metrics are skipped
View raw JSON
{
"rowCount": 4,
"groupCount": 3,
"aggregation": "sum",
"summaryRows": [
{
"group": "EMEA",
"value": 2000,
"count": 2
}
],
"warnings": [
"Rows with invalid metrics are skipped"
]
}Use cases
- Summarize CSV data before analysis handoff.
How it works
- 1
Review the workflow and expected credit cost.
- 2
Connect the tools or inputs required for execution.
- 3
Run the workflow and inspect outputs in the app history.