Weather-Data-Analysis

basic data analytics and visualization on the Weather Data Set to gain insights. No machine learning is required for this entry-level project, and tools such as PowerBI, Tableau, or any preferred tool can be used for analysis and visualization.

Tasks:

1. Descriptive Statistics:

• Compute and present basic statistics (mean, median, standard deviation) for MinTemp, MaxTemp, Rainfall, and Evaporation.

2. Time Series Visualization:

• Create a line chart to show the variations in weather variables over time, identifying trends or patterns.

3. Correlation Analysis:

• Calculate and visualize correlations between MinTemp, MaxTemp, Rainfall, and Evaporation using a heatmap.

4. Rainfall Distribution:

• Illustrate the distribution of rainfall through a histogram or kernel density plot, highlighting common levels and outliers.

5. Seasonal Analysis:

• Analyze average values of weather variables across different seasons and visualize seasonal patterns with bar graphs.