'csv' 검색 결과

Extracts, converts, or edits selected parts of spreadsheets, Word documents, PDFs, and PowerPoint files. It creates a separate output file, checks that the selection still matches the source, and verifies the saved result without modifying the original.

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• Export an Excel range as CSV, Markdown, or XLSX
• Extract Word paragraphs or create an edited copy
• Save a selected PDF page as a separate file

Explore trends across Google Trends, Instagram, Facebook, YouTube, and TikTok using Apify data collection tools. Get a summary of emerging topics, hashtags, or sounds to guide content planning, with optional CSV or JSON exports.

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• Research search trends for content planning
• Track Instagram and TikTok hashtags
• Explore popular sounds and YouTube Shorts

Organize primary and backup administrators, two-factor authentication, shared logins, and access review dates for each system. Get a practical register design or request empty templates in CSV, SQL, JSON Schema, or a Notion property mapping.

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• Reviewing administrator access each quarter
• Checking accounts left behind by former employees
• Creating an administrator register template

Structure an evidence-based comparison of shortlisted accounting packages using 57 fields for capabilities, costs, and evaluator judgments. Request empty templates in CSV, SQL DDL, JSON Schema, or Notion mapping while keeping the final decision with the business.

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• Prepare a common comparison template for accounting packages
• Define shared tests for vendor demonstrations
• Organize quoted costs for first-year and three-year comparisons

Forecast sales, demand, or sensor readings with Google's pretrained TimesFM model, without custom training. Check hardware and dataset memory needs, include external factors such as prices or holidays, and obtain forecasts with uncertainty ranges.

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• Forecasting future sales or demand from CSV data
• Including prices and holidays in sales forecasts
• Forecasting multiple stores' time series in batches

Upload a local file to Google Drive with its file type detected automatically and its original filename used by default. Specify a destination folder or choose a different filename when uploading.

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• Uploading a PDF report to Google Drive
• Saving a file in a specified Drive folder
• Uploading a CSV with a different filename

Move notes and structured data from Obsidian, Notion, and other supported sources into GBrain. Preserve the originals, map fields and cross-references, and check imported pages, links, and content after migration.

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• Move an Obsidian vault into GBrain
• Import a Notion export
• Turn CSV rows into knowledge pages

Convert attached office documents, EPUB, CSV, and text-based PDFs into local Markdown using Firecrawl AnyDoc CLI. Files stay inside the agent container, producing readable text for review without uploading documents to an external parsing service.

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• Read an attached Word document as Markdown
• Extract reading context from spreadsheets or CSV files
• Convert presentations or EPUB files for text review

Create realistic sample data for testing, development, and demos. Specify fields, record counts, value ranges, and business rules, then receive CSV, JSON, SQL INSERT statements, or a Python generator script with validation and usage instructions.

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• Creating test data that follows business rules
• Preparing realistic sample data for demos
• Populating a test database

Track filing deadlines and completion status for each legal entity and jurisdiction. Identify upcoming, overdue, and unknown items, review gaps in entity records, and export the tracker as CSV for sharing.

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• Check filings due in the next 30, 60, or 90 days
• Update records from a registered agent's report
• Review overdue filings and missing entity information

Use the bsk command-line tool and browser extension to automate logged-in Chromium. Read pages, complete forms, export tables or lists as JSON or CSV, manage tabs, test interfaces, and investigate website failures.

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• Reading pages with an existing browser login
• Exporting tables or lists as JSON or CSV
• Filling forms and managing browser tabs

Turn supplied CSV, Excel, or JSON data into a visual report page with key metric cards, multiple charts, and a data table. Include the reporting period, data sources, written observations, and a collapsible explanation of the methods used.

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• Turning weekly performance data into a report page
• Reviewing key metrics and year-over-year changes
• Sharing data trends with charts and supporting tables

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.

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

Run Python through run_shell when code execution tools repeatedly fail. This workflow embeds a multiline script directly in a shell command, supporting tasks such as CSV conversion and PDF generation while checking execution output.

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• Continuing Python work after repeated tool errors
• Converting CSV data to JSON
• Generating PDFs with reportlab

Continue file reading and data processing when read_file or execute_code_sandbox fails. The skill uses run_shell with short Python commands or multiline scripts to inspect files, parse data, and save transformed output.

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• Reading accessible files after read_file errors
• Inspecting JSON settings through Python
• Checking CSV rows after sandbox execution fails

Create one editable Canva design per data row using a brand template with autofill fields. Map columns from files, pasted tables, JSON, or URLs to text and image fields, then receive design links and failure details.

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• Create a design for each product
• Generate designs from CSV rows
• Fill templates with text and image URLs

Analyze cryptocurrency wallets using balances, profit and loss, transaction history, and address labels. Profile several wallets together, trace connections across transaction counterparties, compare shared tokens and contacts, and export selected results as CSV.

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• Review a wallet's balances and profit or loss
• Trace transaction counterparties across multiple steps
• Compare tokens and counterparties shared by two wallets

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

Parse and generate CSV files with the csv package — stream large files, handle custom delimiters, transform records, validate data, and generate CSV output from objects. Use when tasks involve data import/export, ETL pipelines, processing uploaded CSV files, or generating downloadable reports.

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.

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

Verify documents, spreadsheets, presentations, and web deliverables before sharing them. Combine file checks with inspection of freshly rendered output, and scan for unfinished text to catch clipped content, layout problems, and leftover placeholders.

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• Check documents before delivery
• Inspect rendered pages for layout problems
• Find leftover placeholders and sample text

Build Python workflows for filtering, grouping, joining, and reshaping table data with Polars. Get guidance on migrating pandas code and using lazy evaluation, which optimizes a processing plan before execution, for large datasets.

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• Filtering and summarizing large CSV files
• Migrating pandas processing code to Polars
• Joining and reshaping multiple tables

Use Dask to process tables, numerical arrays, and file collections in pieces across CPU cores or machines. Helps choose data structures, size memory-friendly chunks, coordinate dependent tasks, and diagnose slow or memory-heavy workflows.

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• Aggregate CSV or Parquet files that exceed available memory
• Process large scientific arrays in chunks
• Clean JSON records and logs before analysis

Find potential influencer partners across Instagram, Facebook, YouTube, and TikTok using Apify data extraction tools. Collect profile and engagement metrics, assess brand fit and authenticity signals, and present shortlisted candidates in chat or export data as CSV or JSON.

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• Finding creators in a specific niche
• Comparing follower counts and engagement
• Finding creators who mention a brand