Recent Trends in Data Analysis and Data Visualization

e-ISBN : 978-93-6252-474-4
Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.
Volume : 3-2024

AIM & SCOPE

In the dynamic landscape of today's information age, the role of data analysis and visualization has evolved into a cornerstone of decision-making across diverse industries. The rapid expansion of digital technologies, coupled with the proliferation of data sources, has ushered in an era where extracting actionable insights from vast datasets is both a challenge and an opportunity. Recent Trends in Data Analysis and Data Visualization delves into the transformative shifts that have shaped the field, offering a comprehensive exploration of the methodologies, tools, and emerging paradigms driving the data-driven revolution. This book sets the stage for an insightful journey through the currents of change, illustrating the pivotal role that data plays in our interconnected world. This book deals with Data Analysis as well as Data Visualization with the help of different algorithms and visualization libraries. This book "Recent Trends in Data Analysis and Data Visualization" has been written to meet the requirements of the research scholar in the field of Data Analytics. The convergence of big data, advanced analytics, and artificial intelligence has not only empowered organizations with unprecedented capabilities but has also raised new questions about ethics, privacy, and responsible data stewardship. As we navigate this data rich landscape, it becomes imperative to strike a delicate balance between innovation and ethical considerations, ensuring that the benefits of data analysis are harnessed for societal progress. Key themes explored in this book include: Advanced Analytics Techniques: From machine learning algorithms to predictive modeling, explore the cutting-edge methodologies that empower analysts to extract meaningful patterns and predictions from complex datasets. Visualization Beyond Aesthetics: Move beyond the surface of colorful charts and delve into the realm of interactive and immersive data visualizations. Understand how visual storytelling can enhance comprehension and communication of insights, making data accessible to a broader audience. Data Governance and Ethics: Uncover the ethical considerations and challenges associated with handling vast amounts of personal and sensitive information. Delve into the evolving landscape of data governance, compliance, and the ethical responsibilities of data practitioners. Real-Time Analytics: Witness the rise of real-time data processing and analytics, enabling organizations to make informed decisions on the fly. Explore the implications of this shift in a world where the pace of change continues to accelerate. Collaboration and Democratization of Data: Examine how the democratization of data is fostering collaboration across departments and empowering non-technical users to engage with and derive insights from data, breaking down traditional silos. As we embark on this exploration, it is our hope that readers gain a deeper understanding of the multifaceted nature of data analysis and visualization in the contemporary landscape. Whether you are a seasoned data professional, a business leader, or an enthusiast eager to grasp the pulse of the data-driven era, this book aims to provide valuable insights into the recent trends shaping the future of data.

Chapter 1
A REVIEW OF VIOLENCE AND RIOT DETECTION TECHNIQUES
https://www.doi.org/10.58532/nbennurch201

Chapter 2
ANALYZING IPL MATCH RESULTS WITH DATA SCIENCE AND PYTHON: AN EVOLUTION OVER SEASONS
https://www.doi.org/10.58532/nbennurch202

Chapter 3
BREAST CANCER DETECTION USING MACHINE LEARNING: A PROMISING PATH TO EARLY DIAGNOSIS
https://www.doi.org/10.58532/nbennurch203

Chapter 4
DATA ANALYSIS AND VISUALIZATION: UNVEILING INSIGHTS THROUGH NUMBERS AND GRAPHICS
https://www.doi.org/10.58532/nbennurch204

Chapter 5
DATA ANALYSIS WITH DEVOPS: DATAOPS
https://www.doi.org/10.58532/nbennurch205

Chapter 6
DATA VISUALIZATION: TRENDS AND PATTERNS
https://www.doi.org/10.58532/nbennurch206

Chapter 7
EXPLAINABLE AI (XAI): INTERPRETABLE MODEL ARCHITECTURES
https://www.doi.org/10.58532/nbennurch207

Chapter 8
FRAMEWORK OF PRECISION FARMING: A REVIEW
https://www.doi.org/10.58532/nbennurch208

Chapter 9
METHODS AND TOOLS FOR DATA ANALYSIS AND VISUALIZATION
https://www.doi.org/10.58532/nbennurch209

Chapter 10
NAVIGATING THE DIGITAL GOLD RUSH: AN IN-DEPTH ANALYSIS OF CRYPTO CURRENCY MARKETS THROUGH MACHINE LEARNING TECHNIQUES
https://www.doi.org/10.58532/nbennurch210

Chapter 11
NUMERICAL SIMULATION AND DESIGN OF STOCK MARKET FORECASTING USING NEURAL NETWORKS AND MACHINE LEARNING METHOD
https://www.doi.org/10.58532/nbennurch211

Chapter 12
PERFORMANCE ANALYSIS AND EVALUATION OF CROP YIELD PREDICTION FROM SOIL USING SUPERVISED MACHINE LEARNING TECHNIQUES
https://www.doi.org/10.58532/nbennurch212

Chapter 13
REAL TIME ANALYTICS FROM SOCIAL MEDIA
https://www.doi.org/10.58532/nbennurch213

Chapter 14
SUSPICIOUS OBJECT DETECTION USING IMAGES USING YOLOV8 MODEL
https://www.doi.org/10.58532/nbennurch214

Chapter 15
UNVEILING PUBLIC SENTIMENT THROUGH ENHANCED MACHINE LEARNING: A DEEP DIVE INTO TWITTER SENTIMENT ANALYSIS
https://www.doi.org/10.58532/nbennurch215

EDITORIAL BOARD MEMBERS

Dr. Jitendra Singh Kushwah,
Associate Professor in Institute of Technology and Management Gwalior,
Madhya Pradesh.

Dr. Sanjeev Kumar Gupta,
Professor and Dean in Rabindranath Tagore University (Formerly Known as AISECT University),
Bhopal Madhya Pradesh.

Dr. Rakesh Kumar,
Associate Professor,
Department of Computer Science & Engineering and Head,
Centre for IoT & Advance Computing and member of Institute Innovation Council (IIC) MHRD and Innovation Ambassador.

Dr. Mukesh Kumar,
Head of Department & Associate Professor in Computer Science Department at Rabindranath Tagore University,
Bhopal Madhya Pradesh.