Exploratory Data Analysis (EDA) in Space Science

INTRODUCTION : Exploratory Data Analysis, commonly known as EDA, is one of the most important steps in the entire data science process. It is the stage where we take a closer look at the data, understand what it contains, and identify patterns or irregularities. Before building any machine learning model or drawing conclusions, it is necessary to explore the dataset properly. If we do not understand the nature of the data, any later analysis may be misleading or even completely wrong. This is why EDA is often described as “letting the data speak,” because it helps us see what the numbers are really trying to tell us. When we apply EDA to space science, it becomes even more meaningful and exciting. Today, space missions generate more data than ever before. Satellites orbiting Earth measure everything from air pollution to sea temperatures. Rovers on Mars collect rock samples, images, and atmospheric readings. Telescopes like Hubble and the James Webb Space Telescope capture detailed inf...