data-analysis
195
csv-data-analyzer
Load, explore, clean, and analyze CSV data with statistical summaries
wentorai
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
195
ipums-microdata-api
Access harmonized census and survey microdata via the IPUMS API
wentorai
data-ai
data-analysis
195
meta-analysis-guide
Conduct systematic meta-analyses with effect size pooling and heterogeneity
wentorai
data-ai
data-analysis
195
social-research-methods
Core methods for empirical social science research including surveys and expe...
wentorai
data-ai
data-analysis
195
survey-data-processing
Clean, recode, and prepare survey response data for analysis
wentorai
data-ai
data-analysis
195
sociology-research-methods
Sociological research methods from observation to quantitative analysis
wentorai
data-ai
data-analysis
195
datacite-api
Resolve dataset DOIs and query research data metadata via DataCite
wentorai
data-ai
data-analysis
195
h-index-guide
Understanding and calculating research impact metrics
wentorai
data-ai
data-analysis
195
missing-data-handling
Diagnose missing data patterns and apply appropriate imputation strategies
wentorai
data-ai
data-analysis
195
nlp-toolkit-guide
NLP analysis with perplexity scoring, burstiness, and entropy metrics
wentorai
data-ai
data-analysis
195
survival-analysis-guide
Conduct Kaplan-Meier, Cox regression, and time-to-event analyses
wentorai
data-ai
data-analysis
195
power-analysis-guide
Sample size calculation and statistical power analysis guide
wentorai
data-ai
data-analysis
195
modeling-strategy-guide
Strategic statistical modeling, experimentation, and causal inference
wentorai
data-ai
data-analysis
195
journal-metrics-guide
Understand journal impact factors, h5-index, CiteScore, and SJR
wentorai
data-ai
data-engineering
195
kedro-pipeline-guide
Build reproducible data science pipelines with Kedro for research projects
wentorai
data-ai
data-engineering
195
tongyi-deep-research-guide
Open-source deep research agent by Alibaba for scholarly research
wentorai
data-ai
data-engineering
195
jupyter-notebook-guide
Best practices for computational research notebooks with reproducible workflows
wentorai
data-ai
data-engineering
195
r-reproducibility-guide
Create reproducible research workflows with R and RMarkdown/Quarto
wentorai
data-ai
data-engineering
195
sandbox-execution-guide
Secure sandboxed code execution environments for reproducible research computing
wentorai
data-ai
data-engineering
195
google-scholar-scraper
Ethical Google Scholar data collection techniques and best practices
wentorai
data-ai
data-engineering
195
data-cleaning-pipeline
Systematic data cleaning workflows for research datasets
wentorai
data-ai
data-engineering
195
pandas-data-wrangling
Data cleaning, transformation, and exploratory analysis with pandas
wentorai
data-ai
data-engineering
195
stata-data-cleaning
Clean, transform, and validate messy research data using Stata
wentorai
data-ai