Visualizing Daily Temperature in Semarang - March 2025
A data-driven exploration of weather patterns with Python
Visualisasi Suhu Harian Kota Semarang.pptxThis project analyzes daily temperature data for Semarang (March 2025) and turns it into a clear, meaningful visualization using Python, Pandas, and Matplotlib. The process includes importing the dataset, cleaning and preparing the values, calculating descriptive statistics, and finally presenting the results through a line chart showing minimum, average, and maximum temperatures.
The visualization makes the data easier to understand at a glance, revealing patterns such as consistent daily temperature ranges, peak heat periods at the beginning and end of the month, and a brief temperature drop mid-month.
The analysis revealed clear patterns:
Warm spikes occurred mostly at the beginning and end of the month (peaking at 34°C).
The lowest recorded temperature (23°C) occurred mid-month.
The average daily temperature remained relatively stable at ≈28°C, indicating consistent weather behavior overall.
To me, this project reflects my strengths in structured analysis, data storytelling, and turning raw numbers into insight.