Key features and educational uses of the describe menu in r-instat

Maxwell Fundi, D. Parsons, Lily Clements, Steven Ndungu, Alex Sananka, D. Stern, R. Stern
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引用次数: 1

Abstract

This poster focusses on the describe menu of R-Instat; in particular, features relating to data exploration. The exploration of data is fundamentally important for anyone working with data, yet it receives relatively little importance in many statistics courses. The poster illustrates some key aspects of tables and graphs in R-Instat and how they can be used to quickly get an overview of data. It shows how descriptive analyses are made into an easy and natural process, both to teach and to learn. We illustrate a wide variety of graphs that use ggplot2 in R, how to produce tables that are eye-catching and useful, and the similarities between tables and graphs. We can have a table of graphs or graphs where some of the cells have a table. Particular attention will be drawn to the value of a true problem based approach, where students start with a problem and some data and are free to use any appropriate analytic methods. The key to this approach is to have data which is rich enough that a combination of approaches yields more insights than any single analysis. Analyzing data can be fun!
描述菜单在r-instat中的主要特性和教育用途
这张海报的重点是R-Instat的描述菜单;特别是与数据探索相关的特性。对数据的探索对于任何与数据打交道的人来说都是至关重要的,但在许多统计学课程中,它的重要性相对较低。海报说明了R-Instat中表格和图表的一些关键方面,以及如何使用它们快速获得数据的概述。它展示了如何将描述性分析变成一个简单而自然的过程,无论是教还是学。我们演示了在R中使用ggplot2的各种图形,如何生成引人注目且有用的表,以及表和图形之间的相似之处。我们可以有一个图表的表格或者一些单元格有表格的图表。特别要注意的是真正的基于问题的方法的价值,学生从一个问题和一些数据开始,可以自由地使用任何适当的分析方法。这种方法的关键是拥有足够丰富的数据,以便将各种方法结合起来比任何单一分析产生更多的见解。分析数据很有趣!
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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