Analysis

Data analysis, visualization, workflows, and more.

Introduction

Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. It is a crucial step in the data science pipeline and is used across a wide range of industries and applications. Data analysis can involve a variety of techniques and tools, from simple data aggregation and visualization to complex statistical modeling and machine learning algorithms. By analyzing data, organizations can gain valuable insights, make data-driven decisions, and uncover hidden patterns and trends.