Github Trends®
9591 findingsmedian surprise 0.00783window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #4358 · UNIT ID 606301599
mtahiraslan/data-analyst-roadmap
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00335
ENGAGEMENT0.57
FRESHNESS1.63
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
1.60
ACCEL
+0.02
RETENTION
39.3%
PEAK 2026-07-31 · FORK-RETENTION 90.9% · 48 STARS / WINDOW

Author Audience

AUDIENCE
438
FOLLOWERS
332
OWNER ★
1,060

Engagement Signals

FORKS
170
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 48 / 48 (DIVERSITY 1.00)

Why This Is A Finding

mtahiraslan/data-analyst-roadmap собрал 48 звёзд за окно, тогда как у автора всего 332 подписчиков — эффективная аудитория ≈ 438. Это даёт surprise-индекс 0.00335 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 90.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 55%
VELOCITY1.603.63-2.03ABOVE 5%
RETENTION39.3%24.8%+14.5 PPABOVE 77%
FORKS170120+50ABOVE 59%
SURPRISE0.000.01-0.00ABOVE 30%