Melbourne’s daily minimum temperatures EDA

Exploratory Data Analysis (EDA) of Melbourne’s daily minimum temperatures

Project Summary: Exploratory Data Analysis (EDA) of Melbourne's Daily Minimum Temperatures

This project involved performing an Exploratory Data Analysis (EDA) on Melbourne's daily minimum temperature dataset. The analysis included several key steps:

1. Data Import and Cleaning: The dataset was loaded, cleaned by handling missing values, and formatted appropriately.

2. Descriptive Statistics: Key statistics such as mean, standard deviation, median, and interquartile range were computed to summarize the temperature data.

3. Visualizations: Various plots were created, including time series plots, histograms, and boxplots, to visualize temperature trends and distributions.

4. Trend Analysis: A polynomial trend line was fitted to the data to identify underlying patterns.

5. Yearly and Seasonal Analysis: The data was analyzed on a yearly basis, and a manual decomposition was performed to separate trend and seasonal components.

The results provide insights into temperature trends and variability over time, helping to understand the historical climate patterns in Melbourne.