Exploratory Data Analysis
(การวิเคราะห์ข้อมูลเชิงสำรวจ)
Definition
Exploratory Data Analysis (การวิเคราะห์ข้อมูลเชิงสำรวจ) Hard Skill
Exploratory Data Analysis (EDA) is the process of examining data sets to summarize their main characteristics, often using visual methods, in order to discover patterns, spot anomalies, test hypotheses, and check assumptions.
Expertise Level
Level 1
Basic
1. Can perform basic data summarization using descriptive statistics.
2. Able to create simple visualizations like histograms and bar charts.
3. Understands the purpose and importance of exploring data before analysis.
Level 2
Intermediate
1. Able to identify patterns, trends, and outliers in data.
2. Uses advanced visualization techniques such as box plots and scatter plots.
3. Can perform data cleaning and handle missing or inconsistent data during exploration.
Level 3
Advanced
1. Can synthesize insights from complex data sets to guide decision-making.
2. Applies multivariate data exploration and dimensionality reduction techniques.
3. Able to formulate and test hypotheses, and communicate findings effectively to stakeholders.
