'figures' 검색 결과

Create charts in Python with detailed control over colors, axes, labels, legends, and layouts. Use it to build scientific figures, arrange multiple plots, and export results as PNG, PDF, or SVG files for papers and presentations.

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• Creating figures for papers and presentations
• Arranging multiple charts in one figure
• Adjusting colors, axes, labels, and legends

Check and improve existing English LaTeX papers, from compilation errors and bibliography issues to grammar, figures, tables, and pseudocode. Receive focused review comments and suggested fixes, with checks tailored to specific sections or publication venues.

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• Diagnosing LaTeX compilation and bibliography errors
• Polishing grammar and shortening dense sentences
• Checking figures, tables, and pseudocode before submission

Write and review R analysis scripts for a sewage research project using its established conventions. Estimate requested regression models, add specifications, and save LaTeX tables, figures, and model objects for use in the research paper.

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• Estimate models of sewage spills and property prices
• Add specifications to an existing regression analysis
• Create descriptive plots and maps

Analyze datasets in R or Python, from exploring distributions and missing values to fitting regressions. Produce tables and figures for publication, save scripts and model results, and review the analysis for common problems.

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• Explore distributions, missing values, and relationships
• Run regressions on cross-sectional or panel data
• Export publication-ready regression tables and figures

Draft English sections of a finance or economics paper from tables and figures supplied in a PDF. Confirm section plans and word counts, describe empirical findings, and develop research design, literature discussion, introduction, and conclusion in LaTeX.

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• Draft empirical results from regression tables
• Describe variables and models from supplied tables
• Develop a literature review and hypotheses

Generate code for economics paper figures, including event studies that show effects over time and coefficient comparisons. Adjust fonts, colors, dimensions, and export settings, with consistent file naming for use in manuscripts.

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• Plot treatment effects over time with confidence intervals
• Compare coefficient estimates across models
• Standardize figure formatting for a journal submission

Create Chinese academic presentation slides with Beamer, a LaTeX slide system, using a fixed CUFE template. Organizes research arguments, tables, and figures, with spacing and slide-splitting rules to address overflow, and supports updating existing decks.

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• Preparing Chinese slides for a thesis defense
• Building slides for a Chinese academic conference
• Fixing text and table overflow

Draft and revise scientific manuscripts by organizing evidence into outlines, then developing connected paragraphs. Guides paper structure, citation formatting, figures and tables, and study-specific reporting requirements for research papers and journal submissions.

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• Turn research notes into manuscript paragraphs
• Organize a paper into standard research sections
• Align citations, figures, and reporting requirements

Build a reproducible Stata analysis from data cleaning through modeling, diagnostic checks, and robustness tests. Generate runnable .do files, regression tables, and figures for empirical papers, with additional workflows for epidemiology and machine learning approaches to causal inference.

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• Building a reproducible Stata analysis pipeline
• Comparing regression specifications in a paper table
• Checking causal estimates with robustness tests

Build a Python workflow for empirical research, from data cleaning and statistical checks to estimation, robustness checks, and paper-ready tables and figures. Economics is the default, with additional modes for epidemiology, public health, and machine learning for causal inference.

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• Building an end-to-end empirical analysis workflow in Python
• Replicating an applied economics paper
• Producing regression tables and event-study plots

Turn academic papers or written content into slide images, then combine them into PowerPoint and PDF files. The workflow extracts figures from PDFs and offers outline choices, visual styles, audience settings, and output languages.

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• Create slides from an academic paper
• Reuse paper figures and tables in slides
• Prepare research slides for reading and sharing

Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.

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Use when designing or auditing figures for an Advanced Materials manuscript, including the lead figure, multi-panel characterization figures, and the Table-of-Contents graphic, where visual quality is a house expectation. Designs figure strategy; does not run the analysis or write prose.

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Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission.

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Create, polish, and troubleshoot figures4papers-style publication-ready matplotlib figures, including grouped bars, trends, radar charts, heatmaps, concept diagrams, manifolds, and high-DPI/vector export workflows.

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Parse complex documents with IBM's open-source Docling library, which turns PDFs and Office files into structured Markdown or JSON. Use when a user asks to parse a document with tables, extract figures from a document, handle multi-column layouts, convert a complex PDF to structured data, extract content from academic papers, or process documents with mixed layouts. Handles tables, figures, headers, footers, and multi-column text.

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Use this when creating, modifying, reviewing, or saving charts, figures, plots, or visual summaries — including matplotlib/seaborn code, EDA figures, report figures, dashboards, or any task involving Japanese chart labels, color palettes, or figure styling.

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Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create, revise, and validate publication-ready academic paper figures and tables. Use for LaTeX tables, related-work comparison tables, result tables, notation/dataset/taxonomy tables, precise source-data-driven experiment plots from CSV/JSON/logs, generated conceptual figures such as system overviews/pipelines/architectures/threat models, captions, artifact specs, source-data traceability, and paper-ready PDF/SVG/PNG/LaTeX exports. Do not use for prose-only paper writing, self-review, reviewer response, rebuttal drafting, or external literature-management workflows.

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Submission-grade remote-sensing Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, map-led composites, remote-sensing image plates, sensor/product workflow figures, validation/error/uncertainty panels, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family, Remote Sensing of Environment, ISPRS, IEEE TGRS, or other high-impact venues. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics. Also trigger on general academic-writing figure needs even without the word "Nature", such as making figures/plots for a paper, scientific/academic plotting, data visualization for a manuscript, and Chinese phrasings like 遥感论文配图、学术写作配图、科研绘图、科研作图、地图出图、论文图表、可视化.

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Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

투자자 설명 자료, 재무 모델, 자금 사용 계획표와 지원서를 작성하고 갱신합니다. 여러 자료의 사업 실적, 수익 가정, 투자 유치 금액과 팀 정보가 일치하는지 확인합니다.

• 투자자 설명 자료 작성과 개정
• 투자자용 요약 자료와 메모 작성
• 수익 예측과 자금 사용 계획표 작성

Excel 재무 모델을 바탕으로 수치의 출처를 표시한 PowerPoint 파일을 만듭니다. 회사 템플릿과 원본 통합 문서의 차트 이미지도 사용합니다.

• 재무 모델로 제안 자료를 만들 때
• 슬라이드 수치에 출처를 붙일 때
• 회사 템플릿으로 재무 자료를 만들 때