Global Temperature Analysis

This project solves a real-world data analytics case using the KNIME platform, focusing on temperature trends across countries over the past 270 years.

Objectives

The task involved using two datasets (city and global temperature data) to:

Compute country-wise temperature averages

Classify countries by temperature range

Compare country averages to global temperature trends

Identify outliers

Visualize distributions and city-global comparisons

Tools Used

KNIME Analytics Platform

Data Sources: Provided city and global temperature CSVs

Nodes Used: GroupBy, Row Filter, Joiner, Math Formula, Numeric/Auto Binner, Histogram, Line Plot