skills.rest
nvmohinani
nvmohinaniCOMMUNITY
Explore all skills by this author →
GitHub

clean-data-xls

Cleans and standardizes messy Excel spreadsheet data across ranges and .xlsx files using Excel/Office JS or Python/openpyxl workflows.

Updated May 6, 2026
Search Tags:#formatting#spreadsheet#excel#normalization#deduplication#data-cleaning#data-prep
One-click install
npx skills add https://github.com/nvmohinani/financial_services --skill clean-data-xls-nvmohinani
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clean-data-xls
Source: https://github.com/nvmohinani/financial_services/tree/main/plugins/vertical-plugins/financial-analysis/skills/clean-data-xls
Command: npx skills add https://github.com/nvmohinani/financial_services --skill clean-data-xls-nvmohinani

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Messy spreadsheets waste time and accuracy; this Skill cleans and standardizes data so you can trust the numbers in analyses and reports.

Core Features & Use Cases

  • Trim whitespace across cells and normalize casing to ensure consistency
  • Convert numbers stored as text to real numbers and standardize formatting
  • Standardize dates and remove duplicates, flag mixed-type columns in large datasets
  • Use in Excel workbooks or standalone .xlsx files for data preparation prior to analysis

Quick Start

Clean the active sheet or a specified range by trimming whitespace, standardizing casing, converting numbers stored as text, normalizing dates, removing duplicates, and flagging mixed-type columns.

Frequently Asked Questions about clean-data-xls

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clean messy Excel data with mixed date formats and numbers stored as text?▼

To clean messy Excel data, standardize mixed date formats and convert numbers stored as text using deterministic transformations like DATEVALUE and VALUE. This process normalizes datasets by applying helper columns for reliable spreadsheet cleaning.

What is the best way to remove duplicates and trim whitespace in an xlsx file?▼

Removing duplicates and trimming whitespace in an xlsx file requires applying TRIM formulas and deduplication logic across target ranges. This standardizes cell content to ensure consistency and accuracy for downstream data preparation.

Can I normalize spreadsheet casing and flag mixed-type columns without macros?▼

You can normalize spreadsheet casing and flag mixed-type columns using UPPER formulas and Office JS or Python openpyxl workflows. These deterministic transformations identify inconsistent column types without relying on complex macros.

Does spreadsheet cleaning work on standalone xlsx files outside of Excel workbooks?▼

Spreadsheet cleaning applies to both active Excel workbooks and standalone xlsx files. It handles whitespace, inconsistent casing, and duplicate removal using Python openpyxl workflows or Excel JS for reliable data preparation.

Why are numbers still treated as text after formatting cells in my spreadsheet?▼

Numbers remain treated as text when cell formatting alone does not convert underlying values. Applying VALUE formulas in helper columns converts numbers stored as text into real numeric values for accurate spreadsheet data normalization.

Related Skills

Explore More Data & Analytics Skills→
pascallammerspascallammers
1

document-processing-xlsx

Creates, parses, and manipulates Excel spreadsheets (.xlsx, .xls) using SheetJS.

Community
Intermediate
chekoschekos
5

financial-models

Provide financial modeling templates for revenue forecasting and P&L statements.

Community
Basic
Timmy6942025Timmy6942025
3

3-statement-model

Automate 3-statement financial model completion in Office JS or Python/openpyxl.

Community
Advanced
Sir-chawakornSir-chawakorn
9

wrangle-tabular-data

Clean, transform, and reshape CSV, Parquet, and DataFrame tabular data.

Community
Advanced