Graphical Representation Of Information Research Articles

Study on data visualization

Data visualization is basically a field that deals with graphical representation of information from raw data. Data visualization tools provide areachable way to see and understand the pattern, outliers and trends in data by using data tools like charts, graphs and maps. It makes decision based on knowing rather than guessing. Large amount of data can be accessible because of Data visualization. Data Visualization also helps in telling stories that highlight trends, pattern, and outliers in organization. Thispaper basically focuses on how data visualization is important in sector of education and also the role of dashboard in improvement of students performance and institutional growth.

Countercyclical financing as a tool for stimulating investment activity (specific structuring options)

Aim. The presented study aims to analyze specific options for structuring the financial flows of investment projects with the purpose of increasing investment activity. In this article, which is a continuation of the paper published in the journal ‘Economics and Management’ No. 12 (2021), the authors provide a detailed consideration of options for structuring the financial flows of projects.Tasks. The first part of the article gives a general description of the mechanism of project financing in the implementation of investment projects and allocation of risks among participants, while also considering the factor of price volatility and an example of accelerated repayment of financing. The second part provides examples of specific repayment options capable of reducing the risks of a price decline for the investor.Methodology. This study uses general scientific research methods (analysis, synthesis, induction, deduction), including the analysis of risk allocation options in the financial flows of projects and graphical representation of information, comparison of alternatives. Special methods of financial modeling and investment project efficiency assessment are also used.Results. The authors explore the options for countercyclical financing, describing the development of an optimal schedule and conditions for loan repayment to reduce the risks of negative market conditions for the project initiator. These options are illustrated with graphic examples describing the conditions for the implementation of the proposed investment project, the characteristics of which correlate with the real project.Conclusions. Approaches to fine-tuning the structure of financing to balance the interests of the project’s initiators and creditors and to stimulate investment activity in general are outlined. Examples are given that can be useful to students, teachers, practitioners in the field of investment analysis and corporate finance, as well as representatives of the banking and business community.

Problems of carsharing integration in urban transport systems of Russian megacities

Background: Transport problems of Russian megacities are mostly consequences of motorization increasing and inefficient transport policy provided by local transport authorities. At the same time, the structure of urban transport markets is changing because of new business models of transport sharing emerging and development. Different models of sharing could be an important part of urban transport systems, but it requires initiative both of transport companies and local transport authorities.
 Aim: to assess the state and determine the prospects for the development of the Russian carsharing market as a whole, as well as its largest segment (the carsharing market in Moscow).
 Methods: methods of statistical analysis, graphical representation of information, summary, methods of analysis of industry markets (concentration index, Herfindahl Hirschman index).
 Results: In this article barriers for the development of transport sharing in Russian cities are identified, and forms of sharing integration in urban transport cities are developed.
 Conclusion: The results obtained can be used by local authorities responsible for public transport services and the development of transport policy in Russian cities, as well as transport organizations engaged in multimodal transportation of passengers in megacities.

Data Visualization to solve COVID-19

This electronic document describes how data visualization can be used to solve problems related to Coronavirus using graphical representation of information and data. This article mentions several well-known methods to contain the coronavirus pandemic and discusses how these methods can be effectively implemented across the country. The focus has been given more to the implementation in local level than a country wide implementation. The article describes a comprehensive way to predict the next hotspot in a district wise level using projection graphs. The article also describes The Delhi model using data projection and analysis. The conclusions derived from theses analyses can be implemented effectively in district wise level to flatten the Coronavirus curve and develop herd immunity in category wise zones.

Types of graphical representation of information as a factor influencing teaching effectiveness hearing impaired students

Types of graphical representation of information as a factor influencing teaching effectiveness hearing impaired students

Systematic sample subdividing strategy for training landslide susceptibility models

Current practice in choosing training samples for landslide susceptibility modelling (LSM) is to randomly subdivide inventory information into training and testing samples. Where inventory data differ in distribution, the selection of training samples by a random process may cause inefficient training of machine learning (ML)/statistical models. A systematic technique may, however, produce efficient training samples that well represent the entire inventory data. This is particularly true when inventory information is scarce. This research proposed a systemic strategy to deal with this problem based on the fundamental distribution of probabilities (i.e. Hellinger) and a novel graphical representation of information contained in inventory data (i.e. inventory information curve, IIC). This graphical representation illustrates the relative increase in available information with the growth of the training sample size. Experiments on a selected dataset over the Cameron Highlands, Malaysia were conducted to validate the proposed methods. The dataset contained 104 landslide inventories and 7 landslide-conditioning factors (i.e. altitude, slope, aspect, land use, distance from the stream, distance from the road and distance from lineament) derived from a LiDAR-based digital elevation model and thematic maps acquired from government authorities. In addition, three ML/statistical models, namely, k-nearest neighbour (KNN), support vector machine (SVM) and decision tree (DT), were utilised to assess the proposed sampling strategy for LSM. The impacts of model’s hyperparameters, noise and outliers on the performance of the models and the shape of IICs were also investigated and discussed. To evaluate the proposed method further, it was compared with other standard methods such as random sampling (RS), stratified RS (SRS) and cross-validation (CV). The evaluations were based on the area under the receiving characteristic curves. The results show that IICs are useful in explaining the information content in the training subset and their differences from the original inventory datasets. The quantitative evaluation with KNN, SVM and DT shows that the proposed method outperforms the RS and SRS in all the models and the CV method in KNN and DT models. The proposed sampling strategy enables new applications in landslide modelling, such as measuring inventory data content and complexity and selecting effective training samples to improve the predictive capability of landslide susceptibility models.

Development of balneological tourism in Ukraine

The article deals with reaserch of the development of balneological tourism in Ukraine. The theoretical and methodological bases of the territorial organization of balneo resorts and functioning of the institutions of balneological tourism are highlighted. The estimation of activity of sanatorium and spa establishments of balneological specialization is given. The present state of the development of balneological tourism in Ukraine is analyzed. The subject of the study is the development of the country's balneological tourism, its condition and place in the system of the sanatorium and health complex of Ukraine. The purpose is to analyze the development of balneological tourism, assess the infrastructure and activities of balneological institutions. Task: description of resource base and territorial organization of balneological tourism in Ukraine; assessment of the infrastructure of balneo tourism in Ukraine; the analysis of the activity of the institution of balneological tourism. Common scientific methods are used: synthesis and analysis - to determine the peculiarities of the development of balneo tourism in Ukraine, the tabular method - for the compilation and grouping of analytical data, the method of graphical representation of information - for generalization and popularization of statistical data, mathematical modeling. The results of the study confirm the reduction of the tourist inflow with the health-improving purpose in Ukraine, the reduction of balneological tourism establishments, and the reduction of the quality of services provided in these institutions. Conclusion: insufficient development of the market of balneological tourism in Ukraine, ineffective use of resource potential, weak level of material and technical base.

Financial Support for the Development of the SME Sector in Kazakhstan

The purpose of this work is to investigate the significance of developing the nation’s small and medium-sized business sector, explore a set of organizational/economic conditions of financial support for small and medium-sized enterprises (SMEs), and examine some of the key characteristics of existing financial support for the business environment within the economy’s priority sectors in the Republic of Kazakhstan. In conducting the study, the authors employed the statistical method, comparative analysis and summarization, the systemic and sociological approaches, graphical representation of information, and the integrated approach. The study’s key objectives include the following: to investigate the significance of instruments of financial support for SMEs, including lending, subsidizing, guaranteeing, collateral support, and microfinancing; to identify a set of possible ways to enhance the activity of second-level banks in relation to granting long-term loans to businesses; to explore the significance of Messages to the Nation from the President of the Republic of Kazakhstan, the government’s ‘2020 Business Roadmap’ program, ‘The Program for the Development of Productive Employment and Mass Entrepreneurship for the Period 2017–2021’, and the activity of such major organizations as the Damu fund, KazAgroFinance, and Agrarian Credit Corporation in relation to funding the activity of SMEs.

Infrastructural Provision of International Entrepreneurship: Theory and Practice

Purpose: The purpose of the paper is to determine the differences between the theory and practice of infrastructural provision of international entrepreneurship and to develop recommendations for their elimination. Design/methodology/approach: Methodological basis of the research includes the method of systemic, comparative, problem and SWOT-analysis, as well as the method of graphical representation of information. Findings: As a result of the research, the author comes to the conclusion that existing theoretical ideas on infrastructural provision of international entrepreneurship contradict practical realia as to all its main components: institutional, financial, human, and transport and logistical infrastructure. Practical implications: Weak fundamental basis of the theory of infrastructural provision of international entrepreneurship is a restraining factor on the path of its development. Originality/value: In order to solve the determined scientific and practical problem, the work offers a new practice-oriented model of infrastructural provision of international entrepreneurship, which allows eliminating the gap between theory and practice.

Visualizing information in the records and archives management (RAM) disciplines

PurposeThis paper aims to explore the concept of information in records and archives management (RAM) from a fresh, visual perspective by using arts-informed methodology and the draw-and-write technique.Design/methodology/approachStudents and practitioners of RAM in Australia were asked to answer the question, “what is information?” in a drawing and then to describe the drawing in words. This produced a data set of 255 drawings of information or “iSquares”, for short. Compositional interpretation and a framework of graphic representations by Engelhardt were applied to determine how participants envision information and what the renderings imply for RAM.FindingsThe images reveal an overwhelming recognition in RAM of the diversity of media formats of information and the hyperconnectivity of information in networked information systems; and illustrate the central place of human beings within these systems. These findings offer striking, accessible illustrations of major concepts in RAM and enable new understandings through the construction of stories.Practical implicationsThere are both pedagogical applications and practical implications of this work for students, practitioners and knowledge workers. The graphical representations of information in this research deepen the understanding of textual definitions of information. The data set of iSquares provides opportunities to create new storyboards to explain information definitions, practices and phenomena in RAM disciplines, and, to explain related concepts such as data, information, knowledge and wisdom hierarchy.Originality/valueThis is the first study in RAM disciplines to provide visual illustrations of information using graphical image representations.

Challenges and solutions of adopting public electronic services for the needs of Z generation

Today's society consists of individuals who belong to different generations. Natural change will lead to the fact that a new generation of individuals will take up most of the society's structure, at the same time raising questions about behaviour in virtual space changes. Assimilation of new technologies in society greatly depends on consumer attitudes that are determined by the psychological characteristics of consumers. Purpose of the paper is to form a conceptual psychological profile of generation Z, which would create preconditions to adapt the electronic service solutions for the youngest generation of society. Features of the Theory of generations and psychological characteristics of the generation Z will be analysed in order to achieve this goal. Guidelines of information technologies (IT) solutions for adaptation for generation Z will be given due to established profile. This paper is based on analysis of scientific and practical literature, systematisation, comparison, graphical representation of information.

New Approaches to the History of Information: Ecosystems, Infrastructures, and Graphical Representations of Information

The article defines the concepts of information ecosystems and information infrastructures, arguing that they are useful tools for shaping historical research on information. Their primary advantag...

Managing discoveries in the visual analytics process

Visualization systems traditionally focus on graphical representation of information. They tend not to provide integrated analytical services that could aid users in tackling complex knowledge discovery tasks. Users' exploration in such environments is usually impeded due to several problems: 1) valuable information is hard to discover when too much data is visualized on the screen; 2) Users have to manage and organize their discoveries off line, because no systematic discovery management mechanism exists; 3) their discoveries based on visual exploration alone may lack accuracy; and 4)they have no convenient access to the important knowledge learned by other users. To tackle these problems, it has been recognized that analytical tools must be introduced into visualization systems. In this paper, we present a novel analysis-guided exploration system, called the Nugget Management System (NMS). It leverages the collaborative effort of human comprehensibility and machine computations to facilitate users' visual exploration processes. Specifically, NMS first helps users extract the valuable information (nuggets) hidden in datasets based on their interests. Given that similar nuggets may be rediscovered by different users, NMS consolidates the nugget candidate set by clustering based on their semantic similarity. To solve the problem of inaccurate discoveries, localized data mining techniques are applied to refine the nuggets to best represent the captured patterns in datasets. Visualization techniques are then employed to present our collected nugget pool and thus create the nugget view. Based on the nugget view, interaction techniques are designed to help users observe and organize the nuggets in a more intuitive manner and eventually faciliate their sense-making process. We integrated NMS into XmdvTool, a freeware multivariate visualization system. User studies were performed to compare the users' efficiency and accuracy in finishing tasks on real datasets, with and without the help of NMS. Our user studies confirmed the effectiveness of NMS.

Advanced Traveler Information System for Hyderabad City

The advanced traveler information system (ATIS) is a type of intelligent transportation system application areas that implements emerging computer, communication, and information technologies to provide vital information to the users of a system regarding traffic regulation, route and location guidance, hazardous situations and safety advisory, and warning messages. ATIS requires a large amount of data for processing, analysis, and storage for effective dissemination of traveler information to users. A geographical information system (GIS) allows large data to be effectively processed, stored, analyzed, logically associated, and graphical displayed. Thus, GIS-based ATIS provides a convenient and powerful tool for storage and graphical representation of information, which can be useful users. Further, by availing the powerful GIS functionalities, a user can conceive a problem and allow the appropriate software to assist him in the decision-making process regarding optimum route selection and trip planning. In this paper, the authors present a GIS-based ATIS for Hyderabad City, India. Development of this GIS-based ATIS has been carried under the ArcView GIS environment. This user-friendly system provides comprehensive information about Hyderabad City, such as road networks, hospitals, government and private offices, stadiums, bus and railway stations, and tourist places within the city limits. This system can be used effectively in bus stations, railway stations, airports, and tourist information centers, as well as in personal computers to provide information to travelers and to facilitate travel.