What file format does it accept?

It takes the CSV or TSV exports you get out of Huawei PM reporting — the kind where each row is a measurement period and each column a counter. It reads the delimiter, lines up the columns and treats every numeric column as a series it can summarise.

What statistics does it compute per column?

For each numeric counter column it gives you the basic shape of the data — count, minimum, maximum, mean — so you can eyeball the spread without dropping the file into a spreadsheet. It then flags values that sit far from the rest of the column as statistical outliers, which is usually what you are hunting for when a KPI looks wrong.

How does it flag outliers?

It looks at the distribution of each column and marks the points that fall well outside the typical range for that counter — the spikes and dips that stand out from the bulk of the values. Treat the flags as a prompt to investigate, not a verdict: a genuine busy hour can look like an outlier, so confirm against what you know about the cell.

Does my counter export get uploaded?

No. The CSV/TSV is parsed in the browser and the numbers stay on your machine — nothing is sent to a server. PM counters quietly reveal your traffic levels and which cells are underperforming, so keeping them local means that operational picture never leaves your device.

Huawei Counter Parser

Load a Huawei PM counter CSV / TSV export. Get per-column stats, sortable cell tables, outlier flags, and a top/bottom-5 ranker for any KPI.

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Huawei U2020, MAE-NCE, and iManager all export performance management (PM) data as delimited CSV or TSV — one row per cell, one column per counter. Counters use names like L.E-RAB.AbnormRel.RadioExpiry, L.Traffic.ActiveUser.DL.Avg, or L.HHO.ExecSuccOut. Dropping these exports into Excel works, but spotting the three cells killing your handover success rate across 5 000 rows takes too long. This free online Huawei counter parser auto-detects the delimiter, computes per-column min / max / mean / median / standard deviation, flags statistical outliers (|z| > 2), and lets you instantly rank cells by any numeric column. Everything runs in your browser — no uploads, no logs, no cloud — so you can safely use it with production PM exports. Typical users are Huawei RAN performance engineers, RF optimisers, NPO analysts, and audit teams.

100% client-side parsing. Your files never leave your browser — nothing is uploaded, stored, or logged.

Counter CSV / TSV Input

Upload a CSV/TSV or paste one below. The delimiter (comma or tab) is auto-detected.

Drag & drop a .csv / .tsv file, or

Frequently Asked Questions

Which Huawei export formats does it accept?

Any comma- or tab-separated text export from U2020, MAE-NCE, iManager, or a direct query result. The tool auto-detects the delimiter, trims whitespace, and strips BOM characters.

Is my performance data uploaded anywhere?

No. All parsing happens locally in JavaScript using the browser FileReader API. Nothing is sent over the network after the tool page itself has loaded.

How are outliers detected?

For each numeric column the tool computes mean and population standard deviation; any cell with |value − mean| > 2σ is marked as an outlier. This is a simple rule that catches most genuinely bad cells without over-flagging.

Can I export just the outlier cells?

Yes — use the search box to filter the cell list, then click "Export filtered CSV". Only the visible rows are written.

How It Works

The parser auto-detects whether the delimiter is a comma or a tab by counting the first header line. Values that parse as finite numbers are treated as numeric; everything else becomes a string column.

Per-column stats: count, min, max, mean, median, standard deviation.
Outliers are cells whose value is more than 2 standard deviations from the mean.
Pick any numeric column to see the top-5 and bottom-5 cells.
Export the currently filtered table as CSV.

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How to analyze a Huawei counter export

Export the counters. Save your Huawei PM measurement report as CSV or TSV.
Import the file. Load the CSV/TSV into the tool.
Compute stats. Per-column statistics are calculated and outliers are flagged.
Review outliers. Scan the flagged columns and check whether each spike is a real event or noise.

Frequently asked questions

What file format does it accept?: It takes the CSV or TSV exports you get out of Huawei PM reporting — the kind where each row is a measurement period and each column a counter. It reads the delimiter, lines up the columns and treats every numeric column as a series it can summarise.
What statistics does it compute per column?: For each numeric counter column it gives you the basic shape of the data — count, minimum, maximum, mean — so you can eyeball the spread without dropping the file into a spreadsheet. It then flags values that sit far from the rest of the column as statistical outliers, which is usually what you are hunting for when a KPI looks wrong.
How does it flag outliers?: It looks at the distribution of each column and marks the points that fall well outside the typical range for that counter — the spikes and dips that stand out from the bulk of the values. Treat the flags as a prompt to investigate, not a verdict: a genuine busy hour can look like an outlier, so confirm against what you know about the cell.
Does my counter export get uploaded?: No. The CSV/TSV is parsed in the browser and the numbers stay on your machine — nothing is sent to a server. PM counters quietly reveal your traffic levels and which cells are underperforming, so keeping them local means that operational picture never leaves your device.

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