Data Analysis for Engineers/Module 6

Module 6 · Section 1 of 8

Module Overview

Six worked case studies, each set in a real Philippine engineering context and each drawn from a different discipline, followed by a capstone you complete on one of three tracks. Every case study is self-contained: synthetic-but-realistic data, an analysis, a chart, and a short "Key Takeaways."

Case studyDiscipline
6.1 Extreme Rainfall & Flood FrequencyCivil / Water Resources
6.2 Grid Power Demand ForecastingElectrical
6.3 Airshed PM2.5 ComplianceChemical / Environmental
6.4 Data Center Energy Efficiency (PUE)Computer
6.5 Manufacturing Quality ControlIndustrial
6.6 Chiller Plant PerformanceMechanical

Run cells top to bottom.


%matplotlib inline
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats            # distributions, fits, statistical tests

plt.rcParams["figure.dpi"] = 100   # default figure resolution
print("Environment ready.")

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