INTL
Freelancer
보통
외주
원격 가능
Descriptive Data Analysis Needed
예산
$10~$30 CAD
예상 기간
1주 이내 (협의 가능)
난이도
보통
기술 스택
Python
Pandas
Matplotlib
Seaborn
R
dplyr
ggplot2
Power BI
Tableau
Statistical Analysis
Data Visualization
Data Analysis
SPSS Statistics
AI 분석 요약
기존 데이터셋에 대한 심층적인 기술 통계 분석 및 시각화를 통해 핵심 트렌드와 통찰력을 도출하는 프로젝트입니다. 파이썬(Pandas, Matplotlib, Seaborn), R(dplyr, ggplot2) 또는 Power BI/Tableau 등을 활용한 데이터 분석, 통계, 시각화 역량이 요구됩니다.
프로젝트 원문 설명
I need a skilled data scientist to perform thorough descriptive analysis on an existing dataset. The goal is to surface key trends, summary statistics, and clear visual insights that non-technical stakeholders can quickly grasp.
I will supply the raw data once we agree on the engagement; it is already cleaned enough for immediate exploration, but I’m open to your recommendations if additional preprocessing will strengthen the final story the numbers tell. Typical tools such as Python (pandas, matplotlib, seaborn), R (dplyr, ggplot2), or even Power BI/Tableau are all acceptable—please work in whichever environment lets you deliver crisp, reproducible results fastest.
Deliverables
• Concise written report (PDF or Word) outlining findings, notable patterns, and any unexpected observations
• Well-commented code or notebook so I can reproduce every figure and table
• 3–5 presentation-ready visualizations (PNG or interactive dashboard) that highlight the most important insights
Acceptance criteria: results must run end-to-end on my machine, and every number displayed in the report must be traceable back to an explicit line in the code or formula.
Timeline is flexible within a week; let me know if you need a bit more room.
I will supply the raw data once we agree on the engagement; it is already cleaned enough for immediate exploration, but I’m open to your recommendations if additional preprocessing will strengthen the final story the numbers tell. Typical tools such as Python (pandas, matplotlib, seaborn), R (dplyr, ggplot2), or even Power BI/Tableau are all acceptable—please work in whichever environment lets you deliver crisp, reproducible results fastest.
Deliverables
• Concise written report (PDF or Word) outlining findings, notable patterns, and any unexpected observations
• Well-commented code or notebook so I can reproduce every figure and table
• 3–5 presentation-ready visualizations (PNG or interactive dashboard) that highlight the most important insights
Acceptance criteria: results must run end-to-end on my machine, and every number displayed in the report must be traceable back to an explicit line in the code or formula.
Timeline is flexible within a week; let me know if you need a bit more room.
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