'excel' 검색 결과

Analyze trends and group performance in Excel data, clean percentage values, and calculate projections using growth rates assigned by performance tier. Produce comparison charts and a summary of current totals, projected totals, and growth.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track changes in business metrics over time
• Compare performance across departments or categories
• Estimate growth using rates assigned by performance tier

Work with PDFs to extract text, tables, and images, combine or split documents, rotate pages, and create new files. The guide also covers forms, watermarks, password protection, and OCR, which recognizes text in scanned pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting PDF tables into Excel
• Combining documents or saving selected pages
• Recognizing text in scanned PDFs

Run linear or logistic regression on CSV or Excel tables to examine relationships between variables. Get coefficients, measures of model fit, significance tests, and checks for overlapping predictors, with explanations in plain language.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Examining relationships between sales and numeric factors
• Analyzing factors associated with customer churn
• Checking coefficient significance and model fit

Check CSV, Excel, TSV, and JSON tables for missing values, duplicates, unusual values, and inconsistent formats. Receive scores across 12 quality dimensions, an overall grade, and practical suggestions for fixing the detected issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking missing values and duplicate rows before analysis
• Reviewing date formats and mixed data types
• Verifying unique IDs and relationships between columns

Load, clean, summarize, and join tabular data from CSV, Excel, JSON, or database exports using pandas. Check missing values, data types, and row counts, then independently verify key figures before reporting numbers printed by the code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing revenue by region
• Cleaning missing values and duplicate rows
• Joining files by customer ID

Convert documents, spreadsheets, images, and audio into structured Markdown for AI processing. Extract tables, recognize text in images, transcribe audio, and batch convert files using command-line tools or Python.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert PDF papers into Markdown
• Extract Excel tables for analysis
• Recognize text in scanned documents

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.

Read, transform, analyze, and generate Excel and CSV files. Use when a user asks to open a spreadsheet, process Excel data, merge CSVs, create pivot tables, clean up data, convert between Excel and CSV, add formulas, filter rows, or generate reports from tabular data. Handles .xlsx, .xls, and .csv.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drawing winners for social media giveaways
• Selecting event raffle winners and alternates
• Randomly choosing survey or test participants

Create, edit, and inspect spreadsheets for reusable budgets, models, and trackers. Check formulas and dependent totals, preserve unrelated data, and deliver an editable workbook or a link to the updated native spreadsheet.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a monthly headcount budget
• Investigate an incorrect quarterly total
• Fix formulas and highlight changed cells

Helps build Python workflows for translating Word, PDF, Excel, PowerPoint, and other documents while preserving formatting. Covers Azure batch translation, multiple target languages, terminology glossaries, and checks for job progress and document errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Translating batches of documents while preserving formatting
• Translating documents into multiple languages
• Applying a glossary for specialized terminology

Estimate private equity deal returns across purchase prices, borrowing levels, growth assumptions, exit prices, and holding periods. Produce Excel sensitivity tables showing annualized returns and investment multiples, plus scenario comparisons and a one-page investment committee summary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimate returns for a potential acquisition
• Compare purchase and exit valuation assumptions
• Stress-test growth and borrowing assumptions

Build a prioritized list of potential buyers for a company sale. Assess corporate acquirers and investment funds by business fit, financial capacity, and acquisition activity, then organize leading candidates and contact plans in Excel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a buyer list for a company sale
• Comparing corporate acquirers and investment funds
• Prioritizing buyers for successive outreach rounds

Extract text, tables, and images from PDFs; merge, split, rotate, or create documents; and fill forms. The skill also covers password protection and optical character recognition, which reads text from scanned pages to make documents searchable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting PDF tables for use in Excel
• Merging documents or splitting selected pages
• Making scanned documents searchable

Turn CSV or tabular data into an Excel dashboard with formula-driven key performance indicators, linked charts, small in-cell trend charts, and conditional formatting. A dedicated opening sheet brings the main figures and visual summaries together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing monthly sales and trends
• Bringing management indicators onto one sheet
• Comparing budget and actual results

Convert office documents, spreadsheets, presentations, ebooks, and PDFs into Markdown text that an agent can read. Save large conversions to a file and use hosted text recognition for scanned PDF pages when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare Word documents for an agent to read
• Convert spreadsheets and slides into Markdown
• Extract content from PDFs and ebooks

Convert office documents, spreadsheets, presentations, ebooks, and text-based PDFs into GitHub-Flavored Markdown, a plain-text format supporting tables. Make otherwise unreadable source files available for an agent to read and use in a task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract Word or PDF content for an agent to read
• Convert spreadsheets and slides to Markdown
• Save large documents as Markdown for selective reading

Select random winners from lists, CSV files, Excel, or Google Sheets. Choose multiple winners without duplicates, exclude previous winners, apply entry-based weighting, and record the selection method and timestamp for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drawing winners for social media giveaways
• Selecting event raffle winners and alternates
• Randomly choosing survey or test participants

Verify saved Excel files directly with Python and openpyxl, a workbook library. Check sheets, headers, row counts, marked rows, and output files to resolve conflicting agent reports and summarize what actually exists on disk.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolve conflicting workbook reports from agents
• Check that spreadsheet edits were saved
• Count rows selected with a marker column

Run Python code directly on the host when repeated e2b sandbox failures block execution. The skill explains saving scripts, launching them through the shell, and checking outputs when an isolated environment is unnecessary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume Python work after repeated e2b errors
• Run a saved script to create an Excel file
• Investigate sandbox timeouts and connection failures

Recover failed Python tasks by saving the code as a script and running it through the system shell. The workflow covers spreadsheet generation, data processing, output verification, and troubleshooting missing packages, paths, or permissions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry spreadsheet generation after a sandbox failure
• Rerun data processing that timed out
• Run scripts with system-installed Python libraries

Extract data from supplied spreadsheets and documents, check for missing or truncated content, and try alternative reading methods when needed. Results identify source files and clearly separate extracted facts from external information or estimates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reports from attached spreadsheets
• Recovering pricing tables from incomplete Word extraction
• Re-reading missing sections of a PDF

Create spreadsheets, diagrams, and PDF reports in a staged workflow. Allocate execution attempts across deliverables, check generated files, and use simpler methods or alternative formats when tool errors or limited remaining attempts interrupt progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a comparison spreadsheet, diagram, and report
• Allocating execution attempts across several deliverables
• Recovering from file generation errors with fallback methods

Continue file reading and data processing when execute_code_sandbox or read_file fails. This skill runs multiline Python through run_shell, with examples for text, JSON, spreadsheets, PDF and Word documents, plus basic summaries and grouped calculations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading text or JSON when read_file fails
• Inspecting Excel and CSV data through Python
• Extracting text from PDF and Word documents