“Excel”的搜索结果

用于提取PDF中的文字、表格和图片，合并、拆分或旋转页面，创建文档并填写表单。还支持扫描文档文字识别，以及添加或解除密码保护。

• 将PDF表格提取到Excel
• 合并资料或提取所需页面
• 识别扫描PDF中的文字

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.

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

Turn company documents, public filings, and other sources into structured Excel workbooks for investment review. Organize financial statements and operating metrics, document sources and adjustments, and check that calculations and statements reconcile.

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• Preparing financial data for M&A due diligence
• Building materials for investment committee review
• Standardizing reporting across portfolio companies

Complete Excel templates for leveraged buyouts, acquisitions financed partly with debt. Add linked formulas for funding, operations, debt repayment, and investment returns, then check calculations and formatting while reviewing each major section with the user.

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• Completing an existing Excel buyout model template
• Checking funding totals and debt repayment priorities
• Calculating investment returns for committee materials

Prepare raw credit data for pre-loan modeling by checking data quality and screening variables. Review missing values, predictive usefulness, stability, noise, and correlation, then export an Excel report with organization-level statistics and cleaning results.

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• Prepare credit data before building a model
• Compare missing values and bad-sample rates across organizations
• Screen variables for usefulness, stability, and redundancy

Extract text from PDFs, Office documents, images, spreadsheets, and text files through one tool. Results share a common JSON structure, supporting document summaries, contract checks, and spreadsheet previews, with optical character recognition for scanned content.

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• Summarizing papers and reports
• Checking key clauses in Word contracts
• Previewing every sheet in an Excel workbook

Examine suspicious Word, Excel, and PowerPoint documents by extracting macros and untangling code designed to hide its purpose. Identify download addresses, execution triggers, and attack steps, then document findings and indicators for detecting related threats.

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• Investigating suspicious email attachments
• Finding download addresses hidden in VBA code
• Examining legacy Excel 4.0 macros

Create and edit Excel workbooks for data analysis, reports, and financial models. Build formulas that update with inputs, organize sheets, add charts and interactive pivot tables, and recalculate the workbook to check for formula errors.

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• Create an Excel report with charts
• Build a financial model with adjustable assumptions
• Summarize data in interactive pivot tables

Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.

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• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Update a workbook using its existing formatting

Process Excel workbooks by saving Python scripts to files and running them through the shell. Covers multiple sheets, data transformations, formulas, formatting, and error reporting for complex spreadsheet tasks.

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• Transform revenue data and save a processed Excel workbook
• Apply calculations across multiple worksheets
• Format report headers with colors and alignment

Process Excel workbooks and generate PDF or Word documents by running Python scripts directly through run_shell. The skill covers multi-sheet edits, formatting, data transformations, document layout, and error handling for complex tasks that can exceed agent step limits.

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• Transform data across multiple Excel sheets
• Apply spreadsheet formulas and formatting
• Generate PDF checklists and reports with tables

Process Excel files with Python after checking that input files and source URLs are accessible. The workflow covers data transformations, formulas, and formatting, with alternative sources and error logs when access fails.

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• Transforming Excel data after checking input files
• Applying formulas and formatting across multiple sheets
• Trying backup sources when a data URL is unavailable

Validate spreadsheet sources before running Python scripts to transform data, update multiple sheets, or apply formatting. Check required data first, try backup sources when needed, and report errors clearly if processing cannot proceed.

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• Checking required columns before processing Excel files
• Transforming data and saving a new workbook
• Updating formatting across multiple sheets

Process Excel workbooks and generate PDF reports by running Python scripts directly. Covers multiple sheets, data transformations, formatting, and error handling, with scripts saved as files for complex tasks.

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• Transform data across multiple Excel sheets
• Apply consistent formatting to spreadsheet reports
• Generate PDF reports from spreadsheet data

Audit an Excel workbook before editing, then verify the saved file with Python and openpyxl. Each requested requirement receives an explicit status, so completion depends on checks of the actual file.

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• Verify exact sheet names and row counts
• Check sample size and category coverage
• Confirm required source sheets remain after editing

Extract data from Excel sheets with misplaced headers, merged header cells, or introductory rows. Uses text patterns to locate headers, clean column names, and remove empty rows so the data can be processed with pandas.

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• Extracting tables beneath title and metadata rows
• Reading sheets with inconsistent header positions
• Cleaning blank or duplicate column names

Update copies of public-company Excel models using financial disclosures and mapped input cells. Deliver an updated workbook or review workbook, with source references, change logs, unresolved items, and implications for estimates and valuation where the model supports them.

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• Refresh a company model after earnings
• Map financial disclosures to model input cells
• Review changes and their source evidence

Create, edit, and analyze spreadsheets with formulas, formatting, and visualizations. Preserve existing workbook conventions, keep calculations responsive to input changes, and use formula recalculation and error checks to verify the resulting files.

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• Create a spreadsheet with formulas and formatting
• Update an existing workbook while preserving formulas
• Analyze and visualize Excel or CSV data

Organize Nexent test assets into a traceable chain from requirements and bugs to cases, scripts, and results. Review existing coverage, maintain execution settings, and generate a registry and Excel views for formal testing.

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• Designing test cases for new requirements
• Reviewing regression coverage after a bug fix
• Adding missing tests after development

Clean category and numeric fields in structured data, compare groups with counts and cross-tabulations, and produce charts, Excel results, and a Markdown report. Export visuals as high-resolution PNG and SVG files for use in reports.

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• Compare category distributions across groups
• Clean category labels and fill merged-cell gaps
• Export analysis results to Excel

Inspect multi-sheet Excel files, use Parquet, a column-based file format, for larger datasets, and clean text before analysis. Produce category summaries, identify maximum values, and export formatted reports or scatter plots with fitted straight trend lines.

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• Assess data volume in multi-sheet Excel files
• Clean unwanted characters from text columns
• Summarize categories and highlight the maximum

Clean Excel data, summarize groups, and examine relationships between numeric columns. Produce charts such as scatter plots with trend lines, calculate measures of fit and statistical significance, and export cleaned data and statistical summaries.

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• Clean missing group labels and numeric text
• Compare group averages and variation
• Analyze numeric relationships with scatter plots and trend lines

Extract selected ranges from Excel workbooks with multiple sheets, check missing values, and clean numeric data. Fit a straight trend line, save charts and CSV results, and convert larger tables to Parquet for subsequent analysis.

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• Checking missing values and category counts in a selected sheet
• Extracting numeric pairs from selected rows and columns
• Creating a scatter plot with a straight trend line

Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.

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• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Update a workbook using its existing formatting