'csv' 검색 결과

Export data from Google Sheets as CSV for local backups or further processing. The recipe covers checking spreadsheet details, exporting through Google Drive, and reading a specified sheet range directly in CSV format.

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• Keeping a local CSV backup of spreadsheet data
• Exporting spreadsheet data for further processing
• Reading a selected sheet range as CSV

Analyze Excel and CSV files to summarize statistics, filter records, compare groups, and join data across sheets or files. Export results as CSV, JSON, or Markdown tables for further work or sharing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare monthly sales and top-selling products
• Combine order records with customer data
• Check missing values and statistical summaries

Convert laboratory instrument files into Allotrope Simple Model (ASM) JSON, a standardized data format, or tabular CSV. Detect instrument types, validate converted data, and export Python parsing code for analysis workflows or handoff to data engineers.

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• Standardizing instrument data for a laboratory management system
• Converting ELISA results into an importable CSV
• Exporting Python code to parse NanoDrop files

Analyze CSV files with Python and get concise numerical summaries. The skill checks column structure before calculating requested aggregates, includes units when available, and explains assumptions when data is missing or incorrectly formatted.

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• Quick summaries of CSV data
• Calculating requested aggregates
• Reporting assumptions about missing or malformed data

Claude Code의 로컬 사용 로그에서 토큰 사용량과 예상 비용을 집계합니다. 모델·세션·날짜별 비용을 확인하고 예산과 비교하며 CSV로 내보낼 수 있습니다.

• 오늘과 어제의 지출 비교
• 모델·세션별 비용 확인
• 예산과 지출 비교

Clean messy tabular data through OpenRefine using command-line operations. Import files, inspect rows, apply reusable JSON transformation histories, and export cleaned CSV or TSV data, with session support for undoing and redoing changes.

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• Remove extra spaces from names in a CSV file
• Reuse the same cleaning steps on another dataset
• Inspect sample rows before and after transformation

Create and review CSV geofeeds, files that publish location information for public IP addresses. Check formatting, country and region codes, and privacy concerns, then review suggested improvements in an HTML report.

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• Create a location feed for public IP addresses
• Check CSV formatting and location codes
• Review privacy concerns in published location data

Builds a 30/60/90-day cash flow forecast from accounting records, payment services, or CSV data. Uses historical payment timing to estimate uncertainty, flags specific cash risks, and delivers a chat summary, forecast page, and downloadable Excel workbook.

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• Check whether cash will cover the next payroll
• Review cash flow across three 30-day windows
• Identify invoices whose late payment could cause a shortfall

Plan a practical equipment register for tracking serial numbers, assignees, locations, purchase values, warranties, and returns. On request, create empty CSV templates, SQL table definitions, JSON Schema, or Notion mappings from a shared field list.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a laptop and equipment register
• Planning equipment returns when employees leave
• Reviewing fields needed for an asset audit

Define a practical KPI dashboard, a view of key business measures, by organizing metric definitions, sources, formulas, periods, targets, and owners. Produces empty CSV, SQL, JSON Schema, or Notion import mappings when requested.

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• Choose metrics for a business decision
• Review an overcrowded KPI dashboard
• Create a CSV register of metric definitions

Turn news, company announcements, and policy events into scored trading inputs. Store assessments in a standard CSV file, reduce their influence over time, and combine them with signals from price indicators to support event-based strategy testing.

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• Score the potential price impact of news and announcements
• Organize historical events into a standard CSV file
• Combine event assessments with price-based trading signals

Generate an OpenShell SBOM, an inventory of software components, with Syft. Fill missing license details from public registries, export CSV files for compliance review, and inspect or validate SBOMs attached to container images.

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• Generating a dependency inventory for a release
• Filling missing dependency license information
• Exporting CSV files for license review

Build complex Excel files in four stages: extraction, preparation, calculation, and formatted output. Intermediate CSV files let agents and reviewers inspect data, validate forecasts, locate errors, and rerun individual stages without repeating the entire workflow.

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• Combining multiple data sources into an Excel file
• Checking intermediate values in sales forecasts
• Locating errors in data preparation or calculations

Create, inspect, and edit Excel workbooks using Python helper scripts. Build formatted reports with multiple sheets, formulas, and charts, update existing tables, adjust references during structural changes, and convert data between Excel and CSV.

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• Creating formatted Excel reports with charts
• Inspecting workbook data and formulas
• Adding rows or changing a table's structure

Turn JSON or CSV data into Markdown notes using Knap templates. Apply formatting rules and conditional sections, generate files in batches, or shape web content extracted by Defuddle into a consistent note format.

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• Generate Markdown notes from JSON or CSV data
• Create multiple notes with a shared template
• Format Defuddle output into a note

Plan a former employee register covering previous roles, departure dates, rehire eligibility, and future contact dates. Receive a simple workflow recommendation, with empty CSV templates, SQL table definitions, JSON Schema, or Notion mappings available on request.

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• Planning a former employee register
• Preparing a template for rehire candidates
• Organizing fields for future contact dates

Design a role permission matrix showing which business areas each role should view or edit, including confidentiality levels. Get a review workflow and, on request, empty CSV templates, SQL table definitions, JSON Schema, or Notion mappings.

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• Defining viewing and editing permissions by role
• Planning access rules for confidential records
• Preparing a quarterly access review template

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

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• Plan an anonymous peer feedback process
• Create a CSV template for feedback responses
• Align feedback fields across SQL and JSON Schema

Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Add formulas, formatting, and charts, preserve existing template styles, and recalculate formulas to check for errors before delivering the spreadsheet.

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• Clean messy CSV rows and headers into a usable spreadsheet
• Add formulas and charts to an existing Excel workbook
• Build a financial model with editable assumptions

Create, inspect, and update Excel workbooks, including CSV imports, formulas, charts, and pivot tables that summarize data. Build budgets, dashboards, or trackers with readable formatting, input validation, and checks for formula errors.

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• Converting CSV or TSV data into formatted Excel workbooks
• Building budgets and forecasts with adjustable assumptions
• Creating dashboards with charts and pivot tables

Analyze paid advertising reports from CSV files or connected accounts, explain performance, and recommend changes with monthly dollar amounts. Draft ad copy and visual briefs, then execute connected-account changes only after explicit approval for each one.

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• Review advertising performance from exported CSV reports
• Decide which campaigns to pause or adjust
• Compare platform conversions with CRM results

Build a FlowAI-style team management dashboard with member tables, activity history, summary metrics, and charts. The result is a self-contained HTML prototype with working tabs, light and dark themes, panel zoom, chart tooltips, and CSV export.

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• Prototyping a team management dashboard
• Presenting role distribution and online presence
• Reviewing member details and activity across tabs

Organize invoices and receipts by extracting dates, vendors, amounts, and descriptions from PDFs and images. Create consistent filenames, sort copies into folders, and produce a CSV summary for accounting, expense tracking, or tax preparation.

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• Sorting invoices and receipts for tax preparation
• Categorizing monthly business expenses
• Preparing a CSV summary for an accountant

Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Build formulas and formatting with openpyxl, a Python library, then recalculate and validate workbooks to check for formula errors and file problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a workbook with formulas and formatting
• Edit an existing spreadsheet
• Restructure messy CSV or TSV data