![]() ![]() In this paper, we propose an automatic tool to optimize the design factors of scatterplots to reveal the most salient cluster structure. Hence, constructing frameworks that consider both the perceptions of the visual encodings and the task being performed enables optimizing visualizations to maximize efficacy. Design choices in scatterplots, such as graphical encodings or data aspects, can directly impact decision-making quality for low-level tasks like clustering. Compelling scatterplot visualizations improve understanding of data by leveraging visual perception to boost awareness when performing specific visual analytic tasks. Scatterplots are among the most widely used visualization techniques. ![]() Existing and future SEO marketers may benefit from our research’s time-accurate insights on hotel SEO tactics. From the descriptive analysis and technical SEO perspective, we have concluded that hotels websites’ traffic and, by extension, their long-term viability are inextricably intertwined. In addition, we used fuzzy cognitive mapping to develop an exploratory model. By creating and following a specific methodology, we came to valuable conclusions. During a one-year observation period (February 2021–February 2022), we collected and analyzed web data from 309 top-listed Greek hotels using our own-developed software. This research examines hotels’ websites regarding the SEO techniques they have applied and their impact on web traffic to their websites. Many of them have already invested in digital marketing, especially SEO, by applying SEO techniques to their websites to attract more visitors and bookings. In the COVID-19 era, hotels have to employ every feasible means to stay afloat despite the bleak business and travel conditions. From the technical SEO point of view and the descriptive analysis, we conclude that the traffic on airlines’ websites and, consequently, their sustainability are inseparably linked to the corresponding SEO techniques and technologies used.Ĭurrently, websites rely heavily on digital marketing, notably search engine optimization (SEO), for success. Furthermore, we proceeded to create an exploratory model using fuzzy cognitive mapping. In the first phase of the research, we gathered web data from 243 airline firms during a one-year observation period (December 2020–December 2021) using our own-developed tool. Thus, this research is focused on analyzing airlines’ website presence as regards the implemented SEO techniques and their effect on airlines’ website traffic. Many of them have allocated resources and money to develop SEO strategies by applying SEO techniques to their websites to gain more visitors and bookings. Airlines in the COVID-19 era have to use every possible means to survive despite the adverse conditions for both entrepreneurship and travel. Our generalized scatter plots have been applied successfully to a number of real-world IT services applications, such as server performance monitoring, telephone service usage analysis and financial data, demonstrating the benefits of the generalized scatter plots over traditional ones.ĭigital marketing, especially search engine optimization (SEO), is an integral part of websites today. We evaluate the generalized scatter plots according to this optimization function, and show that there usually exists an optimal compromise between overlap and distortion. We identify an optimization function that takes overlap and distortion of the visualization into acccount. To allow an effective usage, we provide the capability to zoom smoothly between the traditional and our generalized scatter plots. The basic idea is to allow the analyst to optimize the degree of overlap and distortion to generate the best-possible view. In this paper, we propose the generalized scatter plot technique, which allows an overlap-free representation of large data sets to fit entirely into the display. A well-known problem is that scatter plots often have a high degree of overlap, which may occlude a significant portion of the data values shown. Scatter Plots are one of the most powerful and most widely used techniques for visual data exploration. ![]()
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