'statistics' 검색 결과

Plan competitive and market research across public news, financial records, statistics, patents, hiring, and operational signals. Separate observations from inferences and cross-check independent evidence to support market sizing, roadmap choices, pricing, and sales materials.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cross-check signs of a competitor's planned market entry
• Find evidence for market size estimates
• Choose sources for a competitive research plan

Research a topic through BrowserAct web searches and organize findings into a report with source references. Filters for search engine, date range, content type, and result count help focus supplemental research and gather information from multiple sources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding supplemental sources when direct web access fails
• Researching recent industry or market news
• Comparing facts and statistics across sources

Find YouTube creators by keyword and recent upload period, then collect structured channel profiles through BrowserAct. Results include subscriber counts, total views, video counts, descriptions, visible social links, and contact email addresses when available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find creators for a marketing campaign
• Collect creator contact details and social links
• Research channel statistics in a niche

Calculate the count, sum, minimum, maximum, and average of supplied numbers or datasets, then present the results in a clear, structured format. Analysis results can also be saved to a file when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check the count and total of supplied numbers
• Summarize minimum, maximum, and average values
• Get a basic numerical summary of a dataset

Count categories in a chosen data column after removing missing values and placeholder labels. Calculate each category’s share and create high-resolution charts combining counts, percentages, pie charts, and horizontal bars for distribution reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare record counts across categories
• Show category shares with pie and bar charts
• Exclude placeholder labels before counting

Combine selected columns from multiple Excel sheets, fill blank category cells with the preceding value, and rank records by a chosen metric. Export the top results to an Excel report with headings, borders, and formatted numbers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine metrics stored on separate Excel sheets
• Fill category gaps caused by merged cells
• Extract the top records by a selected metric

Prepare scientific figures for papers, reports, and saved deliverables by checking data fidelity, chart choice, labels, axes, and color consistency. Verify exported figures for overlapping text and readability while keeping fonts, palettes, and framing configurable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing scientific figures for a paper or report
• Checking excluded data and summary statistics
• Improving labels, axes, and color consistency

Write MATLAB or GNU Octave scripts for matrix calculations, data analysis, signal processing, and scientific plots. The skill also helps explain syntax and functions, convert code between MATLAB and Python, and run scripts when an interpreter is installed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyzing experimental CSV data and saving plots
• Solving matrix equations and differential equations
• Analyzing signal frequencies and applying filters

Retrieve economic data from official statistics and established research sources after confirming price basis, seasonal adjustment, frequency, and currency. Return structured tables with source details and access dates, plus loading guidance for the user’s statistical software.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieving GDP or employment data from official sources
• Confirming consistent specifications for country comparisons
• Finding replication data for published research

Compare original and rewritten academic text to check that citations, statistics, and core claims remain intact. Receive a report covering writing quality, scholarly tone, and whether the changes should be approved, reviewed, or rejected.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check citations after rewriting academic text
• Compare statistical values before and after editing
• Review changes to claims and conclusions

Turn social science papers into structured Markdown reading notes covering contributions, key findings, methods, data, and limitations. Summaries include quantitative results, references to relevant tables or pages, keywords, and a BibTeX citation for later reference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reading notes from a paper PDF
• Summarizing a directory of papers
• Reviewing key estimates and research methods

Review a pre-analysis plan before registration or submission using six specialized agents. Combine checks of clarity, consistency, causal design, statistics, and feasibility into a prioritized report with revision recommendations tailored to the selected registry or journal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a pre-analysis plan before registration
• Checking alignment between hypotheses, outcomes, and analysis
• Assessing statistical power and multiple testing plans

Build reproducible empirical analyses in R, from data cleaning to statistical modeling and publication tables and figures. Covers economics, epidemiology, and machine learning approaches to causal inference, which estimates effects of interventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a reproducible R or Quarto analysis workflow
• Compare regression models with progressively added controls
• Test robustness across samples and statistical methods

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Evaluate research papers and scientific claims by examining study design, statistics, bias, and evidence quality. Receive a structured critique of strengths, weaknesses, supported conclusions, and practical improvements, with uncertainty and limitations made explicit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a paper's methods and conclusions
• Assessing evidence quality across studies
• Checking scientific claims in media reports

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Create resumes, reports, papers, and other documents with LaTeX, a document typesetting system, then produce PDFs and page previews. Also convert document formats and handle PDF tasks such as merging files and filling forms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reports and papers with charts and citations
• Preparing resumes and cover letters
• Converting handwritten PDFs into LaTeX

Use Wireshark to capture and filter network packets, the small units of transmitted data. Examine saved traffic, reconstruct conversations, and review statistics to investigate connection problems, performance issues, or suspicious activity and document findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow or failing network connections
• Filtering saved captures by IP address or protocol
• Examining suspicious DNS queries and traffic patterns

Analyze JSON, syslog, or Nginx logs to group similar errors, count occurrences, and identify busy error periods. Filter by severity or time range, then view the report in the terminal or export it as JSON.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Grouping repeated errors to investigate causes
• Finding hours or dates with error spikes
• Analyzing logs within a specific time range

Review scientific manuscripts and grant proposals using structured checklists. Assess methods, statistics, reproducibility, ethics, and reporting completeness, then organize findings into a balanced report with major concerns, minor comments, and specific suggestions for revision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a structured journal peer review
• Reviewing methods in a grant proposal
• Checking a manuscript before revision

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deterministic mathematical computation using SymPy. Use for ANY math operation requiring exact/verified results - basic arithmetic, algebra (simplify, expand, factor, solve equations), calculus (derivatives, integrals, limits, series), linear algebra (matrices, determinants, eigenvalues), trigonometry, number theory (primes, GCD/LCM, factorization), and statistics. Ensures mathematical accuracy by using symbolic computation rather than LLM estimation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.