'excel' 검색 결과

Nutrient DWS API로 PDF, Office 문서와 이미지를 변환·가공합니다. 글자와 표 추출, 스캔 문자 인식, 민감 정보 가림, 서명과 양식 입력을 처리합니다.

• Office 문서와 HTML을 PDF로 변환
• 스캔 문서를 검색 가능하게 변환
• PDF 표를 Excel로 추출

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

Extract text and tables from PDFs, create new documents, and reorganize pages. Use it to merge or split files, fill forms, add watermarks or password protection, and turn pages into images for visual inspection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting PDF tables into an Excel workbook
• Merging PDFs and splitting or rotating pages
• Filling application forms and checkboxes

Track multiple M&A, financing, or restructuring deals in an Excel workbook. Organize stages, milestones, deadlines, and assigned tasks, flag delays and risks, and prepare a weekly review covering developments and upcoming work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing progress across multiple active deals
• Tracking bid deadlines and expected closing dates
• Managing assigned tasks and overdue items across deals

Model how an acquisition changes the buyer’s earnings per share. Compare purchase prices, cash and stock payment mixes, and synergy assumptions, then produce an Excel workbook and a one-page summary of the deal’s financial effects.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating how an acquisition changes earnings per share
• Comparing cash and stock payment mixes
• Testing purchase premiums and synergy assumptions

Prepare an initial equity research report through five separate tasks covering company research, financial forecasts, valuation, charts, and report assembly. Outputs include research notes, an Excel financial model, chart files, and a detailed Word report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching a company’s business, competitors, and risks
• Building financial forecasts with three scenarios
• Estimating a price target using multiple valuation methods

Update figures throughout an existing presentation while preserving its formatting. Find equivalent values across text, tables, and chart data, present a change list for approval, and flag related growth rates or percentages that may need recalculation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Updating a presentation with quarterly results
• Refreshing figures in peer comparison slides
• Replacing values using an Excel update sheet

Create, edit, repair, and convert spreadsheet files, including Excel and CSV. This skill covers cleaning messy tables, adding formulas and charts, preserving existing formatting, and recalculating formulas to check for spreadsheet errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning messy CSV data into a spreadsheet
• Adding formulas and charts to an existing workbook
• Creating a financial model with editable assumptions

Build formula-driven Excel financial models for linked financial statements, business valuation, and fundraising forecasts. Separate assumptions, calculations, and results, compare scenarios, and check that statement balances and saved calculation results are consistent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build linked income, balance sheet, and cash flow forecasts
• Estimate business value with discounted cash flows
• Compare results under different assumptions

Extract text, tables, and images from PDFs, or create and modify PDF documents. Covers merging, splitting, rotation, watermarks, password protection, page rendering, and OCR, which turns scanned page images into text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract PDF tables into an Excel file
• Merge documents or split selected pages
• Read text from scanned PDFs

Extract text, tables, and images from PDFs, or merge, split, rotate, and create documents. It also covers form filling, password protection, and OCR, which recognizes text in scanned pages for extraction and search.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting PDF tables into Excel
• Merging documents or splitting selected pages
• Recognizing text in scanned PDFs

Create, edit, repair, and convert spreadsheet files, including Excel workbooks and CSV data. Clean messy tables, add formulas and formatting, preserve existing template styles, and recalculate formulas to check for errors before delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean messy CSV data into a spreadsheet
• Add formulas and columns to an existing workbook
• Update a workbook while preserving its template

Convert PDF, PowerPoint, Excel, and Word documents into structured Markdown for search and information extraction. Outputs include document metadata, a parsing confidence score, and the parser used, with fallback parsers available when earlier attempts fail.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing documents for a searchable knowledge base
• Structuring contract text for information extraction
• Checking parsing confidence before manual review

Convert PDF, Word, and Excel documents into structured Markdown for search and knowledge bases. The skill tries three parsers in sequence when needed and returns metadata, a confidence score, and the parser used.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare documents for retrieval-augmented generation
• Structure documents for an internal knowledge base
• Extract structured text from contracts

Process PDF forms, extract tables and text, and recognize text in scanned documents with OCR. Included scripts support data validation, batch workflows, merging, and page splitting, with table exports to CSV or Excel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill PDF forms after validating submission data
• Export tables from reports to CSV or Excel
• Extract text from scanned PDFs with OCR

Process spreadsheets with Python after checking source files, required sheets and columns, and external data access. The workflow includes backup source checks and clear failure reports when the required data cannot be reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check required files and columns before processing Excel
• Verify external data access before updating a spreadsheet
• Check backup data when the primary source is unavailable

Recover failed Python tasks by saving the code as a script and running it through the shell. Provides steps to inspect errors and confirm generated files for spreadsheet creation, data processing, and calculations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry failed Excel or CSV generation
• Resume data transformations after a sandbox error
• Investigate Python errors through shell output

Helps agents build outputs from supplied reference files by reading, checking, and citing their data first. External searches are reserved for missing details, verification, or tasks that explicitly require current information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reports from attached spreadsheets
• Building property documents from supplied listing data
• Checking reference files before searching the web

Use attached spreadsheets and documents as the primary source for reports and analysis. Identify relevant files, extract needed data, and cite filenames, turning to external searches or clearly labeled estimates only when the supplied material lacks required information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a report from an attached Excel file
• Extracting required figures from CSV or PDF files
• Citing the source filename for reported data

Create a related Excel workbook, PNG diagram, and PDF report in one workflow. It allocates execution attempts across stages, checks output files, and provides retries or simpler versions when generation encounters errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a comparison table, diagram, and report together
• Creating a PDF that references spreadsheet findings and diagrams
• Allocating execution attempts across several output formats

Build Excel spreadsheets with merged titles and headers using openpyxl, a Python library for spreadsheet files. Follow a sequence for entering values, merging cells, and applying formatting, with guidance for updating existing merged ranges and checking saved results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating report titles that span multiple columns
• Formatting section headers and grouped labels
• Updating values in existing merged ranges

Compare a listed company with relevant peers using valuation multiples, ratios linking price or company value to financial measures. Produce reports or editable workbooks covering peer selection, implied prices, data quality, and valuation assumptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Select comparable companies and explain peer choices
• Assess valuation premiums and discounts
• Build an Excel or Sheets valuation workbook

万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取（iter_rows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。**遇到以下任一情况就主动使用本 skill**：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / Parquet / 分块处理 / large file / big data / streaming read / chunked processing；③直接使用 pd.read_excel() 导致超时或内存溢出；④用户明确要求对大规模数据集进行高性能处理。仅不用于：小于 10k 行的常规 Excel 分析（使用 sn-da-excel-workflow 即可）。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate and parse Excel spreadsheets with ExcelJS — create workbooks with multiple sheets, styled cells, formulas, charts, images, and conditional formatting. Use when tasks involve exporting application data to .xlsx, building financial reports, parsing uploaded spreadsheets, or creating data import/export pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.