Python Workout 18 - Weather Data Analysis

Weather Data Analysis

Workout Description:

Use Python to perform data cleaning, manipulation, and visual analysis of historical weather data to identify trends and anomalies.

Use this dummy dataset below.

Simple_Weather_Dataset.csv (50.9 KB)


  1. Load the historical weather dataset provided.
  2. Clean the data by handling missing values and incorrect entries.
  3. Generate summary statistics for temperature and precipitation.
  4. Create visualizations including time series plots and histograms to explore monthly trends and distributions.

Expected Outcome:

A Jupyter or Colab notebook with clean data and visual plots outlining key insights into weather patterns.