Skip to content
Limin Zheng

Content & Data

Spreadsheet cleaning & validation

Transform messy spreadsheets into a documented, checkable format.

Choose this when
Choose this for one-off cleaning/merging of supplied data; choose Local scripts & small utilities if you want a reusable, self-run tool.
Scope unit
A dataset and an agreed rule set
Possible delivery format
Files, reports or packages
Prepare a brief →

You send · You receive

What to send

  • De-identified Excel/CSV sample and field definitions
  • Rules for duplicates, missing values and anomalies
  • Target schema and whether a reusable script is needed

Start by describing the materials you already have; missing details can be added when we agree the scope. Before work begins, we will confirm the materials, permissions and working conditions needed for your specific task.

Possible outputs

  • Cleaned Excel/CSV
  • Transformation and exception log
  • Optional Python/SQL script with instructions

Key check

Reconcile row counts, field mapping and exceptions.

Verifiable acceptance · 3
  • Input/output row counts are reconciled
  • Defined examples match expected transformations
  • Original data is preserved and exceptions are visible

Hypothetical brief & output structure

Illustration · hypothetical

Illustrative example — not a completed client order

The request

Merge two differently structured order exports, deduplicate them and preserve exceptions.

Sample artifacts

  • orders-clean.csvnormalized output
  • exceptions.csvexcluded or ambiguous rows
  • transform.pyoptional reusable script

File names are illustrative

Other tasks of this kind

  • Merge several monthly expense exports into one ledger, with duplicate/uncertain entries flagged.
Output structure / test path

Example mapping: order_no ↔ transaction_id; exception log preserves source row and reason

Write a brief from this example →

Scope boundaries

Confirm missing, duplicate and outlier rules; preserve raw data and never silently delete records.

Not included by default

  • Inventing business or financial definitions
  • Unapproved processing of sensitive records
  • Direct edits to a production database by default

What affects the quote

Data size, transformation rules, exceptions and validation coverage.

Actual project references

  • Asterline ↗

    Self-directed AI workflow and eval with synthetic data

    Evaluation on synthetic test data is not real-client business accuracy.

Self-directed work and published projects demonstrate relevant practice. They are not paid-client delivery records or guarantees for this task.

Start with a short note

Three answers are enough. I will reply with what else is needed and whether a diagnosis comes first. You get a quote before any work starts.

Prepare a brief →

Spreadsheet cleaning & validation

Start with a short note

Three answers are enough. I will reply with what else is needed and whether a diagnosis comes first. You get a quote before any work starts.

What to send
  • De-identified Excel/CSV sample and field definitions
  • Rules for duplicates, missing values and anomalies
  • Target schema and whether a reusable script is needed
Illustration · hypothetical

Illustrative example — not a completed client order

The request

Merge two differently structured order exports, deduplicate them and preserve exceptions.

Example inputs

  • De-identified orders-A.csv and orders-B.csv
  • Field mapping, unique key and missing-value rules

To start, it helps to mention

  • How many tables, and do you need merging, deduplication or field changes?
  • What defines a duplicate and how should ambiguous rows be treated?

Confirm before work begins: Authorized samples, missing/duplicate rules, output schema and row reconciliation

Public/de-identified information only. Private access requires separate authorization.

Open email draft →

Preview the text
Services brief — D02 Spreadsheet cleaning & validation

First contact does not require a complete specification. Unknown fields may be blank or marked unknown.

What do you want to end up with?


What do you already have?


When do you need it? Any budget range?

Select and copy the brief manually if scripting or clipboard access is unavailable.

Public email is a contact starting point. This site has no booking, payment or file-upload service. zhenglimin.design@gmail.com

← Back to category
Prepare a brief →