79 Statistical Graphics and Interactive Visualization in Animal Science

Statistical graphics has advanced significantly in recent years with the development of statistical computing tools that allow us to create reports dynamically, facilitate reproducible research, and explore data interactively. In particular, data visualization is a fundamental aspect of big data analysis in animal science. However, the static nature of standard visualization limits the information that can be displayed and extracted. The objectives of this hands-on workshop are to learn how to utilize interactive visualization and investigate both global and local structures of graphs with useful zooming in and zooming out capabilities. We will use the Shiny R package, which is a web application framework for R. A Shiny application has great potential to deliver interactive data analysis and visualization in a web browser. Yet there is limited application of this type of tool in agricultural science. We will learn the capabilities of R Shiny and its use with example applications in animal science and how to aid scientific discoveries and decision-making processes using interactive data exploration tools. After taking this workshop, the participants will be able to understand the concept of R Shiny and develop a web-based interactive visualization tool. The interactive and integrative data visualization features embedded in Shiny applications offer a new resource for users to readily extract extensive information from complex data.

“Multiplied without Number”: Lynching, Statistics, and Visualization in Ida B. Wells, Mark Twain, and W. E. B. Du Bois

Quantification has long played a vexed role in efforts to record and resist racial violence. Building from Ida B. Wells’s antilynching crusade, this essay examines the risks and power of calculating life and death at the close of the nineteenth century. For her part, Wells pushed mere counting past itself to a profound mode of ethical accounting. Two of her contemporaries, Mark Twain and W. E. B. Du Bois, sustained a similarly supraquantitative thrust; each attempted to harness the antilynching potential of numbers by enlisting data visualization. Twain falls short in a telling fashion, as his unpublished satire “The United States of Lyncherdom” (written in 1901) exacerbates the dehumanizing tendencies of quantification. Du Bois, however, pursues a more generative experiment, creating statistical graphics in 1900 that indict and outstrip the causal circuit that yoked scientific numbering to lynching and racial violence more broadly. This latter achievement resonates with scholarly efforts to access Black life from within a desolately tabulated archive of loss and erasure. Specifically, as triangulated with Wells and Twain, Du Bois’s graphics proffer a counterintuitive means to register life as a future-oriented, aggregate abstraction that is neither wholly conditioned by, nor separate from, a past whose violent legacies endure.

Maestros en Formación Leen e Interpretan Gráficos Estadísticos

ResumenEl objetivo del presente trabajo es analizar cómo maestros en formación leen e interpretan gráficos estadísticos. Los gráficos estadísticos son uno de los instrumentos que se utiliza para hacer llegar información de diversos temas a los ciudadanos. Los futuros maestros tienen una doble necesidad de leer e interpretar gráficos estadísticos, por su actuación como ciudadano común y como docente por la responsabilidad de enseñarlos en la escuela. A partir de una pregunta de PISA se construyó un cuestionario de cuatro preguntas. El cuestionario fue respondido por 77 maestros en formación que ya habían cursado la asignatura de estadística de su carrera. Las respuestas fueron analizadas y clasificadas, considerando la respuesta proporcionada y el argumento utilizado para justificarla. Los resultados indican que los docentes en formación logran un mejor rendimiento en la lectura literal de los datos del gráfico y su interpretación podría estar sesgadas por posiciones personales. Aunque cursaron estadística con profesores diferentes, los grupos se comportan de manera homogénea respecto a las respuestas del cuestionario. Eso puede significar que ellos fueron expuestos a estrategias similares de enseñanza y evaluación de los contenidos de gráficos estadísticos. Probablemente sea necesaria revisar esas estrategias. Palabras-clave: Gráficos Estadísticos. Maestros en Formación. Representación de Datos. Alfabetización Estadística. Matemáticas Educación Primaria. AbstractThe objective of this research was to analyze how prospective teachers read and interpret statistical graphs. Statistical graphics are one of the instruments used to deliver information on various topics to citizens. Future teachers have a double need to read and interpret statistical graphs, for their performance as a common citizen and as a teacher for the responsibility of teaching them at school. From one question of PISA evaluation a poll with four questions was built. The questionnaire was answered by 77 prospective teachers who had already completed the statistics course at undergraduate course. The answers were analyzed and categorized considering the answer provided and the argument they used to justify it. The results indicate that future teachers achieve a better performance in literal reading of the data in graphs as their interpretation could be biased by personal believes. Although they have studied statistics with different teachers, the groups behave homogeneously with respect to the questionnaire responses. This may mean that they were exposed to similar strategies for teaching and evaluating the contents of statistical graphics. These strategies will might need to be reviewed. Keywords: Statistical Graphs. Prospective Teachers. Data Representation. Statistical Literacy. Mathematics Primary Education.

312 Statistical graphics and interactive visualization in animal science

Statistical graphics has advanced significantly in recent years with the development of statistical computing tools that allow us to create reports dynamically, facilitate reproducible research, and explore data interactively. In particular, data visualization is a fundamental aspect of big data analysis in animal science. However, the static nature of standard visualization limits the information that can be displayed and extracted. The objectives of this hands-on workshop are to learn how to utilize interactive visualization and investigate both global and local structures of graphs with useful zooming in and zooming out capabilities. We will use the Shiny R package, which is a web application framework for R. A Shiny application has great potential to deliver interactive data analysis and visualization in a web browser. Yet there is limited application of this type of tool in agricultural science. We will learn the capabilities of R Shiny and its use with example applications in animal science and how to aid scientific discoveries and decision-making processes using interactive data exploration tools. After taking this workshop, the participants will be able to understand the concept of R Shiny and develop a web-based interactive visualization tool. The interactive and integrative data visualization features embedded in Shiny applications offer a new resource for users to readily extract extensive information from complex data.

Masakari: visualization supported statistical analysis of genome segmentations

Background In epigenetics, the change of the combination of histone modifications at the same genomic location during cell differentiation is of great interest for understanding the function of these modifications and their combinations. Besides analyzing them locally for individual genomic locations or globally using correlations between different cells types, intermediate level analyses of these changes are of interest. More specifically, the different distributions of these combinations for different cell types, respectively, are compared to gain new insights. Results and discussion We propose a new tool called ‘Masakari’ that allows segmenting genomes based on lists of ranges having a certain property, e.g., peaks describing histone modifications. It provides a graphical user interface allowing to select all data sets and setting all parameters needed for the segmentation process. Moreover, the graphical user interface provides statistical graphics allowing to assess the quality and suitability of the segmentation and the selected data. Conclusion Masakari provides statistics based visualizations and thus fosters insights into the combination of histone modification marks on genome ranges, and the differences of the distribution of these combinations between different cell types.

Statistical graphics in Mathematics text books for mexican Primary Education

Os resultados de uma investigação são relatados sobre o tipo de gráfico, nível de leitura, nível de complexidade semiótica e conflito semiótico, identificados nas atividades relacionadas aos gráficos estatísticos nos livros didáticos de matemática da Ensino Fundamental no México. Para isso, realizamos uma análise de conteúdo em duas séries completas de livros (12 textos), o primeiro publicado pelo Ministério da Educação Pública e o segundo por Santillana. Os resultados mostram que os gráficos estatísticos são apresentados a partir da terceira série, com predominância do gráfico de barras, o nível lido nos dados, o nível representação de uma distribuição de dados e o conflito semiótico associado à ausência de títulos geral do gráfico.