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Project Workflow Recap

Project Workflow Recap

The Weather Data Analysis project followed a structured Data Science workflow.

Step 1: Understanding the Dataset

We explored the weather dataset and identified the available variables.

Step 2: Loading the Data

The dataset was imported into a Pandas DataFrame for analysis.

Step 3: Data Cleaning

Missing values were identified and handled appropriately.

Step 4: Feature Engineering

Additional features such as month and day were extracted from the date column.

Step 5: Trend Analysis

Temperature, humidity, rainfall, and weather conditions were analyzed using statistical methods.

Step 6: Data Visualization

Multiple charts and graphs were created to communicate insights clearly.

Step 7: Insight Generation

Observations and patterns were identified from the visualizations and statistical analysis.