Data analysis refers to the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves various techniques such as statistical analysis, data mining, and visualization.
Think of data analysis as a detective solving a mystery. The detective collects clues (data), analyzes them using different tools (techniques), and ultimately uncovers hidden patterns or correlations to crack the case (gain insights from the data).
Statistical Analysis: Statistical analysis involves applying mathematical methods to analyze and interpret numerical data. It helps identify trends, quantify relationships between variables, and make predictions based on probability.
Data Mining: Data mining is the process of discovering patterns or relationships in large datasets using computational techniques. It aims to extract valuable knowledge from vast amounts of raw data.
Visualization: Visualization refers to creating graphical representations or visual displays of data. It helps users understand complex information more easily by presenting it in a visually appealing and intuitive manner.
Study guides for the entire semester
200k practice questions
Glossary of 50k key terms - memorize important vocab
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.