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Repositório GitHub

28-Day-Challenges

28-Day-Challenges contém 13 skills coletadas de 10xDotIn, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
13
Stars
5
atualizado
2026-04-07
Forks
0
Cobertura ocupacional
5 categorias ocupacionais · 100% classificado
explorador de repositórios

Skills neste repositório

analyze
Cientistas de dados

Full agentic analysis pipeline — ingest, clean, analyze, visualize, report, and dashboard from any data

2026-04-07
clean
Cientistas de dados

Clean and transform data files — fix types, handle missing values, remove duplicates

2026-04-07
dashboard
Desenvolvedores web

Build a standalone interactive HTML dashboard with Chart.js from any dataset

2026-04-07
profile
Cientistas de dados

Profile data files — row counts, column types, missing values, duplicates, statistics

2026-04-07
query
Cientistas de dados

Ask natural language questions about your data and get answers with evidence

2026-04-07
report
Analistas de gestão

Generate a comprehensive Markdown analysis report with findings, charts, and recommendations

2026-04-07
visualize
Cientistas de dados

Generate charts and plots from data — line, bar, pie, heatmap, scatter, histogram

2026-04-07
compete
Analistas de pesquisa de mercado e especialistas em marketing

Genre and category competitive analysis — identify oversaturated genres, opportunity gaps, and content positioning

2026-03-30
dashboard
Desenvolvedores de software

Generate an interactive HTML dashboard with Chart.js visualizations from the content library analysis

2026-03-30
geo
Cientistas de dados

Analyze geographic content distribution — which countries and regions produce the most content

2026-03-30
scan
Cientistas de dados

Quick scan & profile of a content library dataset — ingests, cleans, and generates a data inventory report

2026-03-30
strategy
Analistas de pesquisa de mercado e especialistas em marketing

Full strategic analysis — combines profiling, trends, geography, and competition into actionable business recommendations

2026-03-30
trends
Cientistas de dados

Analyze temporal patterns, content growth, genre shifts, and seasonal trends in the content library

2026-03-30