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28-Day-Challenges

28-Day-Challenges contains 13 collected skills from 10xDotIn, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
13
Stars
5
updated
2026-04-07
Forks
0
Occupation coverage
5 occupation categories · 100% classified
repository explorer

Skills in this repository

analyze
data-scientists-152051

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

2026-04-07
clean
data-scientists-152051

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

2026-04-07
dashboard
web-developers

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

2026-04-07
profile
data-scientists-152051

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

2026-04-07
query
data-scientists-152051

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

2026-04-07
report
management-analysts-131111

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

2026-04-07
visualize
data-scientists-152051

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

2026-04-07
compete
market-research-analysts-and-marketing-specialists-131161

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

2026-03-30
dashboard
software-developers

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

2026-03-30
geo
data-scientists-152051

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

2026-03-30
scan
data-scientists-152051

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

2026-03-30
strategy
market-research-analysts-and-marketing-specialists-131161

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

2026-03-30
trends
data-scientists-152051

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

2026-03-30