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71.
Loni Hagen Thomas E. Keller Xiaoyi Yerden Luis Felipe Luna-Reyes 《Government Information Quarterly》2019,36(4):101387
Government agencies collect large amounts of structured and unstructured data. Although these data can be used to improve services as well as policy processes, it is not always clear how to analyze the data and how to glean insights for policy making, especially when the data includes large volumes of unstructured text data. This article reports opinions found in “We the People” petition data using topic modeling and visual analytics. It provides an assessment of the usability of the visual analytics results for policy making based on interviews with data professionals and policy makers. We found that visual analytics have potentially positive impacts on policy making practices. Experts also articulated potential barriers regarding the adoption of visual analytics tools, and made suggestions. Potential barriers included insufficient resources in government agencies and difficulty integrating analytics with current work practices. The main suggestions involved providing training and interpretation guidelines along with the visual analytics tools. Major contributions of this study include: (1) suggesting viable visualization tools for analyzing textual data for policy making, and (2) suggesting how to lower barriers to adoption by increasing usability. 相似文献
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Álvarez-Rivadulla María José Jaramillo Ana María Fajardo Felipe Cely Laura Molano Andrés Montes Felipe 《Higher Education》2022,84(3):647-669
Higher Education - What is the impact of social class on college integration? Higher education institutions are becoming more diverse, yet the integration of underprivileged students remains a... 相似文献
73.
Felipe Arruda Moura 《Journal of sports sciences》2014,32(20):1881-1887
AbstractThe purpose of this study was to explore football game-related statistics during a competition, using principal component and cluster analyses to determine if it is possible to distinguish the winning teams from the drawing and losing ones. We collected the game-related statistics of the group phase matches of the 2006 World Cup and organised them into a matrix. The principal components of the covariance matrix were calculated. The scores of the first and second components were used to represent the new data, and cluster analysis was applied to separate the elements in two groups (G1 and G2). To analyse the degree of separation between the groups, we calculated the Silhouette Coefficient for each group. Finally, we checked if the winning teams were classified into the same group. The Silhouette Coefficients found for G1 and G2 were 0.54 and 0.55, respectively. Results showed that 70.3% of the winning teams were classified into the same group (G1). Similarly, 67.8% of the drawing and losing teams were classified in G2. This study presented a different way to analyse game-related statistics that allowed the multivariate differences to be shown between successful and unsuccessful teams. 相似文献
74.
In Brazil, the transition to corporate management of soccer clubs started in the 1990s. When the ‘Lei Pelé’ was enacted in 1998, expectations were very high that the Brazilian clubs would become modernized institutions capable of surviving in the recently developed soccer business. However, the results that clubs reported in their financial statements a decade later do not show the desirable evolution. This essay looks back at this modernization process while analysing the clubs’ results and their financial ratios with the aim of understanding their main difficulties and how successful they have been in trying to modernize. 相似文献
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