Data visualization for exploratory analysis
Table Of Contents
<p>1. Introduction<br> 1.1 Background and motivation<br> 1.2 Objectives of the project<br>2. Literature Review<br> 2.1 Importance of data visualization in exploratory analysis<br> 2.2 Overview of data visualization techniques<br> 2.3 Applications of data visualization in different domains<br>3. Data Visualization Methods<br> 3.1 Static and interactive visualization techniques<br> 3.2 Tools and libraries for data visualization<br> 3.3 Best practices for effective data visualization<br>4. Case Studies<br> 4.1 Application of data visualization to real-world datasets<br> 4.2 Analysis of insights gained through visualization<br>5. Discussion<br> 5.1 Interpretation of visualizations and insights<br> 5.2 Limitations and challenges of data visualization<br></p>
Thesis Abstract
<p> This project aims to explore the use of data visualization techniques for exploratory analysis of complex datasets. Data visualization plays a crucial role in understanding patterns, trends, and relationships within data. The project will involve implementing various visualization methods, such as scatter plots, histograms, heatmaps, and interactive dashboards, and applying them to real-world datasets to gain insights and make data-driven decisions. <br></p>Thesis Overview
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