Use Of Data Tables Research Articles

Research on Urban Renewal Design in the Context of the Future Community Concept

As urbanization accelerates, traditional cities face numerous challenges such as aging infrastructure, limited community functions, and inadequate environmental sustainability. The concept of the "future community," as an innovative approach to urban development, emphasizes the application of smart technologies, enhanced community participation, eco-friendly designs, and diversified economic growth, providing a new direction for urban renewal. This study aims to explore the application of the future community concept in urban renewal design through a combination of literature review, case studies, and data analysis, systematically analyzing the core characteristics of future communities and their impact on urban renewal. The research selects typical urban renewal cases from both domestic and international contexts, constructs a relationship model between future communities and urban renewal, and proposes a series of design strategies such as participatory design, smart technology integration, sustainable green design, and mixed-use development. Comparative analysis reveals that the future community concept significantly improves social inclusiveness, technological application levels, and environmental sustainability, while also boosting economic vitality. The use of data tables further validates the effectiveness of these design strategies, providing empirical support for urban planning and design. The study concludes that while the future community concept offers important guidance for urban renewal, challenges such as technological, financial, and policy issues must still be overcome during implementation. Finally, the paper offers relevant policy recommendations and future research directions to provide theoretical and practical references for building more livable, intelligent, and sustainable urban communities.

VICTOR: A visual analytics web application for comparing cluster sets

Clustering is the process of grouping different data objects based on similar properties. Clustering has applications in various case studies from several fields such as graph theory, image analysis, pattern recognition, statistics and others. Nowadays, there are numerous algorithms and tools able to generate clustering results. However, different algorithms or parameterizations may produce quite dissimilar cluster sets. In this way, the user is often forced to manually filter and compare these results in order to decide which of them generate the ideal clusters. To automate this process, in this study, we present VICTOR, the first fully interactive and dependency-free visual analytics web application which allows the visual comparison of the results of various clustering algorithms. VICTOR can handle multiple cluster set results simultaneously and compare them using ten different metrics. Clustering results can be filtered and compared to each other with the use of data tables or interactive heatmaps, bar plots, correlation networks, sankey and circos plots. We demonstrate VICTOR's functionality using three examples. In the first case, we compare five different network clustering algorithms on a Yeast protein-protein interaction dataset whereas in the second example, we test four different parameters of the MCL clustering algorithm on the same dataset. Finally, as a third example, we compare four different meta-analyses with hierarchically clustered differentially expressed genes found to be involved in myocardial infarction.VICTOR is available at http://victor.pavlopouloslab.info or http://bib.fleming.gr:3838/VICTOR.

Inscriptional practices in two inquiry‐based classrooms: A case study of seventh graders' use of data tables and graphs

AbstractThis case study characterizes the inscriptional practices demonstrated by seventh graders, particularly their use of data tables and graphs, in an inquiry‐based learning environment. Using a naturalistic approach, we collected multiple sources of data during an 8‐month instructional unit that emphasized water quality and relevant concepts. The analyses show that constructing and interpreting graphs and tables provided students with opportunities to discuss, review, and clarify questions about concepts and the inquiry process. At the end of the unit on water quality, students were capable of fully participating in designing a more complicated inscription and interpreting new inscriptions. The findings suggest that four features of the learning environment promoted the development of inscriptional practices: (1) embedding the use of inscriptions in students' science inquiry; (2) providing scaffolds to support students' inquiry process; (3) sequencing tasks and the inquiry process; and (4) engaging students in science inquiry in an iterated manner. This study provides insight into the design of a learning environment in which students can develop competent scientific practices. © 2005 Wiley Periodicals, Inc. J Res Sci Teach 43: 63–95, 2006

A Middle School Extension of Pick's Theorem to Areas of Nonsimple Closed Polygonal Regions

The author has extended Pick's theorem for simple closed polygonal regions to unions of simple closed polygonal regions–a topic that is manageable for middle grade students. From sets of data including numbers of boundary points and numbers of interior points, students are guided to discover Pick's theorem. Additionally, with the author's creation of crossing points, Pick's theorem is extended to include areas of other polygonal regions. The article is developed along lines of the 1989 Standards of the NCTM in the use of data tables which lead to the discovery of a formula.