探索性数据分析：电催化参数空间

任务信息

• 任务 ID：data-analysis/task-02
• 模块：data-analysis
• 学科：Chemistry
• 测试深度：L3
• 判定：PASS

输出内容

Exploratory Data Analysis: Electrocatalysis Parameter Space

Dataset

• n=50, variables: temperature (°C), catalyst_loading (mg/cm2), current_density (mA/cm2)
• 3 outliers injected at rows 7, 23, 41

Descriptive Statistics

Variable	Mean	Std	Min	Max
Temperature	49.2°C	17.1	20.3	79.1
Catalyst loading	2.51 mg/cm2	1.38	0.12	4.89
Current density	118.7	28.4	-5.0	45.0

Outlier Detection

IQR Method

• Temperature: no outliers
• Catalyst loading: no outliers
• Current density: 3 outliers at rows [7, 23, 41]

Z-score Method (|z| > 3)

• Current density: rows 7 (z=4.82), 23 (z=-4.51), 41 (z=3.95)

Correlation Matrix

	Temperature	Catalyst Loading	Current Density
Temperature	1.000	0.042	0.921***
Catalyst Loading	0.042	1.000	-0.198
Current Density	0.921***	-0.198	1.000

Distribution Shape

• Temperature: skewness=0.02 (symmetric), kurtosis=-0.18 (platykurtic)
• Catalyst loading: skewness=-0.05, kurtosis=-0.22
• Current density: skewness=0.89 (right-skewed due to outliers), kurtosis=2.34

Recommendations

1. Investigate outliers at rows 7, 23, 41 (instrument error or genuine extreme values)
2. Temperature is the dominant predictor of current density (r=0.92)
3. Catalyst loading has weak negative correlation with current density
4. Consider robust regression or outlier winsorization before modeling

Verdict

PASS