Data Visualization - Science topic

Abstract In response to the Sustainable Development Goals (SDGs) proposed by the United Nations (2015), the education sector has gradually incorporated the concept of sustainability into school governance strategies and operational practices, thereby reflecting long-term educational reforms and addressing societal needs. This study aims to examine...

This workshop aims to explore and foster cutting-edge applications of Artificial Intelligence (AI), Data Analysis Methods, Data Visualization, and other innovative techniques across all fields of Economics. We have extended the submission deadline for the EconomIA 2025 workshop to January 31, 2025. Don't miss this opportunity to share your resear...

A core use case for Virtual Reality applications is recreating real-life scenarios for training or entertainment. Promoting physiological responses for users in VR that match those of real-life spectators can maximize engagement and contribute to more co-presence. Current research focuses on visualizations and measurements of physiological data to...

Finding projections of multidimensional data domains to the 2D screen space is a well‐known problem. Multidimensional data often comes with the property that the dimensions are measured in different physical units, which renders the ratio between dimensions, i.e., their scale, arbitrary. The result of common projections, like PCA, t‐SNE, or MDS, de...

In modern web and enterprise applications, dashboards serve as critical interfaces for real-time data visualization, user interaction, and operational control. Ensuring seamless transitions between different dashboard views and services is essential for maintaining user engagement and system efficiency. This paper explores advanced API gateway stra...

Di era pengelolaan data yang semakin kompleks, visualisasi data menjadi kunci penting untuk memahami dan menganalisa informasi secara lebih efektif. Penelitian ini membahas tentang analisis visual dinamika kepegawaian di wilayah kerja Kanreg IX BKN Jayapura dengan menggunakan alat visualisasi Power BI. Memanfaatkan data jumlah PNS di wilayah kerja...

Introduction Many tools support housing decisions for older adults but often overlook mobility patterns and social health. We explored these factors in older Canadians living at home to inform housing decisions. Methods We conducted a mixed-methods study with 20 older adults (65+) from Quebec and Alberta living independently or in senior residence...

In modern data-driven environments, real-time dashboards play a critical role in facilitating decision-making by providing instant access to key performance indicators and analytics. However, as data volumes and user concurrency increase, dashboards become susceptible to latency and downtime, negatively impacting user experience and business operat...

For much of the global population, climate change appears as a slow, gradual shift in daily weather. This leads many to perceive its impacts as minor and results in apathy (the ‘boiling frog’ effect). How can we convey the urgency of the crisis when its impacts appear so subtle? Here, through a series of large-scale cognitive experiments (N = 799),...

Industrial dashboards, commonly deployed by organizations such as enterprises and governments, are increasingly crucial in data communication and decision-making support across various domains. Designing an industrial dashboard prototype is particularly challenging due to its visual complexity, which can include data visualization, layout configura...

Background: The current public health crises we face, including communicable disease pandemics such as COVID-19, require cohesive societal efforts to address decision-making gaps in our health systems. Digital health platforms that leverage big data ethically from citizens can transform health systems by enabling real-time data collection, communic...

Deaf dogs face significant challenges in communication, training, and health monitoring, often impacting their quality of life. This research introduces K9CarePro, an innovative smart collar and mobile application that integrates advanced deep learning to analyze dog vocalizations, enabling the interpretation of emotional states such as anxiety or...

As the demand for real-time data visualization and dynamic user interfaces increases, the need for scalable, cost-efficient, and maintainable dashboard solutions has become paramount. Serverless technologies offer a compelling paradigm for addressing these challenges by enabling automatic scaling, reduced infrastructure overhead, and event-driven e...

AI-powered predictive systems have high margins of error. However, data visualisations of algorithmic systems in education and other social fields tend to visualise certainty, thus invisibilising the underlying approximations and uncertainties of the algorithmic systems and the social settings in which these systems operate. This paper draws on a c...

Objective The method of bibliometric analysis was used to visualize the literature data of the current research on acupuncture treatment of functional dyspepsia. Methods By using the bibliometrix package in R4.4.1, all the research literatures related to acupuncture and moxibustion treatment of functional dyspepsia in the WOS core database were us...

The human milk/plasma (M/P) drug concentration ratio is crucial in pharmacology, especially for breastfeeding mothers undergoing treatment. It determines the extent to which drugs ingested by the mother pass into breast milk, potentially affecting the infant. This study conducted a comprehensive evaluation of multiple machine learning algorithms to...

Se ha implementado un conjunto de esculturas basadas en datos en la ciudad de Quito. Estas intervenciones visualizan el movimiento de ciclistas urbanos. Para crearlas, se diseñaron una serie de interfaces que registran y presentan su movimiento. Este artículo explora la conexión personal del autor con Quito mediante la creación de mapas personaliza...

Few-shot semantic segmentation aims to accurately segment objects from a limited amount of annotated data, a task complicated by intra-class variations and prototype representation challenges. To address these issues, we propose the Multi-Scale Prototype Convolutional Network (MPCN). Our approach introduces a Prior Mask Generation (PMG) module, whi...

Data clustering is a compact bucket that distributes processing over multiple child nodes in modern data science and analytics. The disadvantages of these approaches include the network's capacity, specialized tools, and applications that take time to teach. Furthermore, the raw data from IoT-generated big data might provide a great deal of heterog...

Dissolved organic matter (DOM) contains thousands of molecules and is key for biogeochemical cycles in aquatic and terrestrial ecosystems by interacting with microbes. Over the last decade, the study of DOM has been advanced and accelerated with the developments of instrumental and statistical approaches. However, it is still challenging in statist...

Forest fires result in significant losses in the form of habitat destruction, greenhouse gas emissions, loss of wildlife, and even loss of human lives. To mitigate the risk of forest fires, it is crucial to understand the factors influencing them. Weather conditions, such as humidity, temperature, drought, and wind speed, are known as major factors...

Recent developments in multimodal large language models (MLLM) have equipped language models to reason about vision and language jointly. This permits MLLMs to both perceive and answer questions about data visualization across a variety of designs and tasks. Applying MLLMs to a broad range of visualization tasks requires us to properly evaluate the...

This paper explores the application of 3D scanned data visualization to sandplay therapy, a popular form of psychotherapy. It also serves as an application paper for the recently proposed high-definition transparent visualization method, “stochastic point-based rendering.” Although 3D scanning has been successfully applied to various fields, such a...

Bus Demand Forecast is a web-based application designed to enhance public transportation efficiency by accurately predicting bus demand across different municipalities. With increasing urbanization and limited transportation resources, cities struggle to effectively allocate buses, often resulting in either overcrowded vehicles or underutilized cap...

Existing data visualization formalisms are restricted to single-table inputs, which makes existing visualization grammars like Vega-lite or ggplot2 tedious to use, have overly complex APIs, and unsound when visualization multi-table data. This paper presents the first visualization formalism to support databases as input -- in other words, *databas...

This chapter introduces the foundational concepts and frameworks of learning-based sports analytics, offering a comprehensive overview of the field. It begins by exploring key concepts such as data analytics, data acquisition, and data visualization, which are essential for understanding how data drives insights in sports analytics. The chapter the...

The convergence of real-time data processing and predictive analytics in web applications has revolutionized user engagement and decision-making capabilities. This study investigates how ML.NET can be integrated with Blazor WebAssembly to create client-side predictive applications featuring dynamic data visualizations. By leveraging ML.NET's robust...

Interest in data science education is growing as data becomes more prevalent in our daily lives and plays a central role in making informed decisions and understanding the world. Due to the interdisciplinary nature and broad scope of the field, further research is essential to unravel how K-12 students can effectively interact with data through pro...

Hydrological data are typically sequential and often correspond to large datasets, and not all application programs allow their retrieval, storage, and manipulation. This technical article aims to contribute to this subject by reporting the applicability of the Data Storage System of the Hydrologic Engineering Center (HEC-DSSVue) using 5-min rainfa...

This study assesses Senegal's performance against the 7-1-7 approach, a benchmark for outbreak preparedness, focusing on infectious disease detection, notification, and response from 2022 to 2023. Using secondary national surveillance data, the analysis included socio-demographic, clinical, and laboratory information, with data visualized using Arc...

Carbon neutrality is an important goal of global energy conservation and emission reduction, and achieving the green and low-carbon technological revolution. The straw biomass in Northeast China is a potential green resource, and its pyrolysis into biochar (BC) is of great significance for carbon neutrality. This study is based on bibliometrics to...

Modern data visualization techniques have transformed business intelligence operations through enabling organizations to glean actionable intelligence from increasingly complex datasets. The paper examines core technologies like dashboard software, interactive applications, and real-time visualization capabilities that have become essential compone...

Objective: This study examines the fast-growing threat of ransomware attacks on critical infrastructure and their implications for national security and economic stability. It explores the evolution of ransomware, its financial and operational impact on key sectors, and strategies for combating its effects. Study Design: A detailed review of exist...

The literature on peatlands and the use of remote sensing has grown significantly, reflecting the importance of peatlands in the global carbon cycle and efforts to monitor and mitigate climate change. This bibliometric study investigates research trends, key themes, and the scientific evolution of remote sensing applications in peatland studies. Th...

RNA sequencing data manipulation workflows are complex and require various skills and tools. This creates the need for user-friendly and integrated genomic data analysis and visualization tools. We developed a novel R package using multiple Cran and Bioconductor packages to perform gene expression analysis and genetic variant calling from RNA seque...

The article provides a bibliometric analysis of selected scientific publications in the field of econometric methods of modeling and forecasting regional development. The analysis was carried out using modern tools such as The Lens, Bibliometrix and VOSviewer. Key bibliometric indicators were reviewed, scientific data visualization methods were hig...

This paper examines whether visualizations in cultural heritage fields can move beyond their traditional roles of exploration and analysis to facilitate higher-order cognitive processes central to the practice of “critique”. Drawing on arts and humanities perspectives, we define critical cognition as a mode of inquiry that explores and evaluates th...

From a Human-Computer Interaction perspective, data visualizations are visual representations of data that improve users' cognitive capabilities during a task. In particular, UX data visibility can raise a team's engagement with the UX design and better inform product decisions. However, researchers and professionals lack a foundation to build new...

Background: Yishun Health (YH), a Regional Population Health System (RPHS) under National Healthcare Group caring for 330,000 residents in northern Singapore, developed the Unified Care Model (UCM) and its subsidiary Lifelong Care (LC) and Episodic Care (EC) models to guide development of its future-state Service Delivery Subsystem. YH’s Governance...

Data visualizations (DVs) are visual representations of quantitative data, which are used to convey information. The aim of my PhD research was to better understand the implications for readers of the use of DVs in journalistic media. Journalistic DVs were explored from the perspectives of (1) Visual-numeric literacy (VNL), which describes the capa...

Type 2 Diabetes causes dysregulation of blood glucose, which leads to long-term, multi-tissue damage. Continuous glucose monitoring devices are commercially available and used to track glucose at high temporal resolution so that individuals can make informed decisions about their metabolic health. Algorithms processing these continuous data have al...

Background Panax ginseng C. A. Meyer (Ginseng) has a lengthy historical background of utilization and is frequently utilized for the treatment and prevention of various diseases. In recent times, researchers have shown an increasing inclination towards investigating the extraction, purification, structural analysis, and pharmacological properties o...

This article examines the technical workflows and digital frameworks that enhance transparency in governance by making complex government processes accessible to citizens. As government operations grow increasingly intricate, the gap between administrative procedures and public comprehension widens, potentially undermining trust and accountability....

Big data analytics has changed the way one perceives consumer behavior and marketing strategy. It provides statistical analysis along with clustering techniques of precise insights. It supports proper market segmentation and targeting as stated by Rakshit Negi. Also, data mining optimizes the working of the retailer along with the algorithms of mac...

This chapter provides a clear and detailed approach to understanding the meth-odologies crucial for the completion of doctoral research. It briefly describes thematic analysis, grounded theory, and narrative inquiry, focusing on the role of these qualitative research approaches in a doctoral research study. It guides the need for research questions...

We propose critical interactivity as a concept to study and design the dynamic and transitory aspects of data visualizations. Theoretically, interactivity is often described as the means to support analytical tasks, while in practice, it encompasses the techniques that alter visual representations. These notions are a useful starting point to study...

This paper discusses the NVIDIA Omniverse platform for visualizing and integrating digital twins of fusion power plants, focusing on enhancing the design, simulation, and operational workflows of complex fusion systems. As global fusion projects such as ITER, STEP, and CFETR move toward realizing practical fusion energy, sophisticated tools to mode...

The OpenStreetMap (OSM) platform aids SDGs by fostering global geospatial data exchange. It's vital in regions lacking commercial incentives, promoting public collaboration. Initiatives like Open Mapping Hub-Asia Pacific support SDGs through participatory mapping. Case studies, like in Sri Lanka's Uva Province, showcase OSM's impact on infrastructu...

Penelitian ini bertujuan untuk menganalisis pengaruh jarak antara area check-in menuju boarding gate di Terminal 3 Bandara Soekarno-Hatta terhadap kenyamanan penumpang. Fokus penelitian ini adalah untuk memahami bagaimana dampak yang disebabkan dari tata letak ruang dalam Terminal 3 Bandara Soekarno-Hatta yang menyebabkan jauhnya jarak antara area...

In the face of escalating complexity and scale of cyber attacks, traditional cybersecurity analysis methods are overwhelmed by the volume, dynamism, and complexity of data. Artificial Intelligence (AI), with its prowess in threat detection, behavioral analysis, and automated response, offers a beacon of hope. However, the black box nature of AI com...

With recent technological advancements, advanced communication technology, sensors and distributed generation (DG), it is an undeniable fact that modern power systems are flooded with massive amounts of data. These vast amount of generated data are difficult to interpret and comprehend, and are slow to sort through and explain. With ever increasing...

Purpose Meditation is well known for its positive effects on recovery and quality of life enhancement among cancer patients. Meditation as an adjuvant therapy has received extensive attention from international scholars in relieving pain, reducing psychological pressure and improving the quality of life of cancer patients. In this study, we examine...

Recent advances in GenAI have enabled automation in data visualization, allowing users to generate visual representations using natural language. However, existing systems primarily focus on automation, overlooking users' varying expertise levels and analytical needs. In this position paper, we advocate for a shift toward adaptive GenAI-driven visu...

In modern data-driven applications, particularly those involving interactive dashboards, handling large volumes of data efficiently is crucial for maintaining performance and user experience. Memory overloads, resulting from excessive data processing and storage in volatile memory, can lead to system crashes, delays, or degraded performance. Disk-S...

The article discusses the problems and opportunities of introducing smart city technologies in Kazakhstan through the prism of project management. Key aspects such as infrastructure quality, sustainable development, data protection, citizen participation, government support and the introduction of innovative technologies are analyzed. Examples of s...

Multimodal Large Language Models (MLLMs) have remarkably progressed in analyzing and understanding images. Despite these advancements, accurately regressing values in charts remains an underexplored area for MLLMs. For visualization, how do MLLMs perform when applied to graphical perception tasks? Our paper investigates this question by reproducing...

The impact of disk-spill on dashboard load times and overall performance is a critical concern for organizations relying on data-driven decision-making. Disk-spill refers to the phenomenon where in-memory data processing systems exceed their allocated memory capacity, resulting in data being written to slower storage devices such as hard drives or...

The impact of disk-spill on dashboard load times and overall performance is a critical concern for organizations relying on data-driven decision-making. Disk-spill refers to the phenomenon where in-memory data processing systems exceed their allocated memory capacity, resulting in data being written to slower storage devices such as hard drives or...

Extended Reality (XR) is transforming education, offering unparalleled prospects for enhancing teaching and learning processes. This study aims to illuminate the current trends in Extended Reality (XR) within education by utilising a bibliometric analysis approach. A comprehensive examination was conducted on XR-related academic works sourced from...

Data visualizations play a crucial role in communicating patterns in quantitative data, making data visualization literacy a key target of STEM education. However, it is currently unclear to what degree different assessments of data visualization literacy measure the same underlying constructs. Here, we administered two widely used graph comprehens...

Sterilization is a crucial process in healthcare. The environment in which it is performed plays a critical role and any change in temperature and humidity of the environment can compromise the process. In addition, the water quality is also fundamental since its contamination and hardness can cause high impact damage to surgical material and medic...

This study aims to analyze the trends, core themes, and challenges in University-Industry Cooperation (UIC) in animation education, particularly in the context of vocational education in China, through a bibliometric analysis. Using data from articles published between 1999 and 2021, this study applies bibliometric methods, including citation analy...

Background Carpal tunnel syndrome (CTS) is the most common peripheral nerve entrapment syndrome. Surgical release of severe CTS is the standard care management option. Ultrasound (US) guided hydrodissection is a recent minimally invasive procedure creating a perineural fluid plane and mechanically releasing perineural adhesions. Results 27 patients...

As a Data Analyst Consultant, I have worked with clients across industries to turn data into actionable insights. This research summarizes the real-world techniques applied in consulting practice, including predictive analytics, data visualization, and decision-support systems. Through selected case studies, the paper highlights how data-driven str...

OLAF (Open Life Science Analysis Framework) is an open-source platform that enables researchers to perform bioinformatics analyses using natural language. By combining large language models (LLMs) with a modular agent-pipe-router architecture, OLAF generates and executes bioinformatics code on real scientific data, including formats like .h5ad. The...

The modern world of rapidly evolving technologies uses artificial intelligence in various fields, including the educational sphere. Geodesy, as a science that deals with measurement and mapping of Earth's surface can also benefit from these innovations. The article presents a brief historical overview of the application of artificial intelligence...

This study focuses on the design, application, and validation of an IoT-based Landslide Early Warning System (EWS) utilizing TILT sensors and the BLINK application. The goal is to develop an educational yet functional system to enhance students’ understanding of landslide mechanics and real-time monitoring for early warning. The system integrates T...

Lagoons have a great importance for society, and activities such as fishing or tourism are essential for these areas, for this reason it is important to have a monitoring system in terms of water quality. The central axis of this project was the design and implementation of a sensor network based on the Internet of Things, collecting data using an...

Introduction. The real estate market is a key sector of the economy with high price dynamics, dependence on macroeconomic factors and complexity of forecasting. Traditional analysis methods require a lot of time and resources, which limits their application. Using low-code platforms allows you to reduce the cost of developing models and make analys...

Modern research management, particularly for publicly funded studies, assumes a data governance model in which grantees are considered stewards rather than owners of important data sets. Thus, there is an expectation that collected data are shared as widely as possible with the general research community. This presents problems in complex studies t...

Objective To analyze the disease burden of anxiety disorders globally, in middle SDI countries, and in China using GBD public database. Methods Data on anxiety disorders were extracted from the GBD database, and GBDR_V2.36 was used for data visualization and plotting. Results From 1990 to 2021, global anxiety disorder cases and prevalence rose st...

Understanding the spatial locations of cell within tissues is crucial for unraveling the organization of cellular diversity. Recent advancements in spatial resolved transcriptomics (SRT) have enabled the analysis of gene expression while preserving the spatial context within tissues. Spatial domain characterization is a critical first step in SRT d...

Insectonomy is an evolving interdisciplinary initiative that redefines how we see, value, and manage insects in agri-food systems. Rooted in science and expanded through art, it recognizes insects not merely as resources, but as vital agents in socio-ecological resilience. By integrating conservation, pest control, wild gathering, and farming strat...

This book equips readers with essential Power BI skills by providing acomprehensive, step by-step guide to data visualization, transformation, and analysis. It covers Power BI fundamentals, licensing, and comparisons with other BI tools, helping users make informed choices. Readers will master data preparation techniques, including cleaning, transf...

Objective Although research on the association between pulmonary fibrosis and lung cancer is of great significance, to date, no bibliometric analysis has been conducted on the comorbidity of these two diseases. This study aims to explore the current status and cutting - edge trends in this field through bibliometric analysis, and to establish new d...

Due to the rapid development of spatial sequencing technologies, large amounts of spatial transcriptomic datasets have been generated across various technological platforms or different biological conditions (e.g., control vs. treatment). Spatial transcriptomics data coming from different platforms usually has different resolutions. Moreover, curre...

This paper discusses the transformative role of machine learning (ML) in predicting and enhancing educational outcomes for students with disabilities. Based on data-mining techniques on educational performance data for disabled persons, this study shows that adaptive and predictive frameworks can identify critical success factors. This analysis fea...

The Playbook Workflow Builder (PWB) is a web-based platform to dynamically construct and execute bioinformatics workflows by utilizing a growing network of input datasets, semantically annotated API endpoints, and data visualization tools contributed by an ecosystem of collaborators. Via a user-friendly user interface, workflows can be constructed...

The integration of digital technologies into education has become essential in the 21st century, necessitating that teachers worldwide improve their digital competencies. Despite knowing the importance of digital competencies, challenges persist, such as centralized planning and rapid technological advancements. This study aims to provide insights...

Hepatitis is a widespread inflammatory condition of the liver, presenting a formidable global health challenge. Accurate and timely detection of hepatitis is crucial for effective patient management, yet existing methods exhibit limitations that underscore the need for innovative approaches. Early-stage detection of hepatitis is now possible with t...

Optimizing dashboard performance is crucial for ensuring efficient data visualization and real-time analytics. One key enhancement is the implementation of disk-spill, a technique that offloads excess memory usage to disk storage when handling large datasets. This paper explores the technical advantages of disk-spill in dashboard upgrades, focusing...

The ‘warming stripes’ are an iconic climate data visualisation, adopted globally as a symbol of our warming world. We discuss their origin and uses for communication, including understanding long-term changes in the climate and consequences of future emission choices. We also extend the stripes concept to explore observed temperature variations thr...

Live dashboard upgrades require efficient data processing to ensure seamless user experience and minimal downtime. However, handling large datasets in real-time can strain system memory, leading to performance bottlenecks. Disk-spill, a technique where overflow data is temporarily stored on disk instead of RAM, enhances data processing efficiency d...

The diagnosis of Parkinson’s disease relies heavily on the subjective assessment of physicians, which depends on their individual experience and training, potentially leading to inconsistent diagnostic results. Therefore, developing an objective and efficient diagnostic method is essential to improve the accuracy and timeliness of Parkinson’s disea...

Understanding the role of creativity in visualization design becomes increasingly important as the field matures, particularly with the emergence of various visualization authoring and recommendation systems. In this paper, we examine how creativity manifests in visualization design processes and how academic research has conceptualized it over tim...

This research explores the transformative role of AI agents in modern cloud-native environments, focusing on integrating large language models (LLMs) into intelligent, automated workflows using LangChain. Our work demonstrates how containerized LLM-powered agents can be effectively deployed, managed, and scaled using modern cloud infrastructure, pr...

Multimodal Large Language Models (MLLMs) can interpret data visualizations, but what makes a visualization understandable to these models? Do factors like color, shape, and text influence legibility, and how does this compare to human perception? In this paper, we build on prior work to systematically assess which visualization characteristics impa...

Optimizing dashboard performance is crucial for ensuring efficient data visualization and real-time analytics. One key enhancement is the implementation of disk-spill, a technique that offloads excess memory usage to disk storage when handling large datasets. This paper explores the technical advantages of disk-spill in dashboard upgrades, focusing...

Pythagorean triples (PTs), integer solutions to the equation a² + b² = c², are a classic object of number theory. Despite their simplicity, they possess a rich internal structure that often remains hidden under a purely algebraic approach. In this work, we present a study of primitive Pythagorean triples (PPTs) using methods of multidimensional dat...

A presente pesquisa tem como objetivo identificar métodos e técnicas de visualização de dados para dados espaço-temporais relacionados a doenças infecciosas, tendo, como pergunta de pesquisa, “Quais são os principais métodos de visualização de dados em softwares de gestão de saúde para dados espaço-temporais de doenças infecciosas?”. Realizou-se um...

In response to the deformation and displacement problems that exist during the construction and use of underground projects, this study develops an underground engineering robot measurement deformation monitoring system based on the Internet of Things (IoT) architecture, aiming to improve the accuracy and efficiency of underground engineering defor...

Peatland fires are a severe threat to the global environment. Existing peatland fire early detection systems commonly detect parameters such as air temperature, humidity, gas, smoke, and fire. This paper proposes a new peatland fire early detection method using the twig moisture content parameter. This method utilizes the most significant parameter...

Background: The field of value perceptions and luxury product purchase intentions has experienced significant development over the past decade. The expansion of the luxury market in a given country is closely linked to prevailing luxury consumption trends. Understanding the relationship between value perceptions and purchase intentions is crucial i...

The integration of artificial intelligence (AI) in healthcare has ushered in transformative changes, particularly in oncology research, where the complexity and diversity of data demand innovative analytical approaches. This study focuses on the application of generative AI techniques to enhance data dependence graphs, a crucial tool for visualizin...

Drawing to learn has gained significant attention in educational research. This article discusses the various uses of drawing as an active, constructive, and interactive learning method. It emphasizes its importance across various educational settings and emphasizes that the quality and assessment of learners' drawings should align with task demand...

p>Exploratory data analysis (EDA) is all about exploring the data in order to identify any underlying pattern before you try to use it to make a predictive model. It also plays a major role in the data discovery process as it is used to analyze data and to recapitulate their different characteristics, which is displayed efficiently with the help of...