assignmentutor-lab™ 为您的留学生涯保驾护航 在代写数据可视化Data visualization方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写数据可视化Data visualization代写方面经验极为丰富，各种代写数据可视化Data visualization相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## CS代写|数据可视化代写Data visualization代考|Some Charts to Avoid

In this section, we discuss some charts that should be avoided. There are charts that many data visualization experts agree should be avoided. Usually this is because a chart is overly cluttered or takes too much effort for most audiences to interpret the chart quickly and accurately. Here we provide some guidance on charts we believe should be avoided in favor of other types of charts.

As we have already discussed in the data visualization makeover at the beginning of this chapter, many experts suggest that pie charts should be avoided. Instead of a pie chart, consider using a bar chart. This is because science has shown that we are better at assessing differences in length than angle and area. Small differences can be better detected in length than area, especially when sorted by length. Also, using a bar chart simplifies the chart in that there is no longer a need for a different color for each category. Figures $2.1$ and $2.2$ show the difference between the pie chart and the bar chart and illustrate why the latter is preferred.

Another chart to be avoided is a radar chart. A radar chart is a chart that displays multiple quantitative variables on a polar grid with an axis for each variable. The quantitative values on each axis are connected with lines for a given category. Multiple categories can be overlaid on the same radar chart.

Let us consider data on four suppliers of a component needed by Newton Industries. Newton manufactures high-performance desktop computers and has started to vet four possible suppliers of one of the components needed for its computers. Newton’s management needs to select a supplier to provide the component and has collected data on the percentage of late shipments, the percentage of defective components delivered and the cost per unit each supplier would charge. These data are in the file NewtonSuppliers and are shown in Figure 2.35. Figure $2.36$ is the radar chart created from these data.

The radar chart in Figure $2.36$ has three axes corresponding to the three columns of data in Figure 2.35. Luckily the three variables are of roughly the same magnitude. Variables of very different scales can distort a radar chart. The four suppliers each have their own color and their data are connected by lines. Since Newton presumably wants low values for percentage late, percentage of defective components and cost per unit, a dominant supplier’s rectangle would be completely inside its competitors. It appears from Figure $2.36$ that the supplier Foster might be the best choice, but it is difficult to distinguish the cost per unit. Even with this very small data set, the radar chart is quite busy and difficult for an audience to interpret.

## CS代写|数据可视化代写Data visualization代考|Preattentive Attributes

The act of “seeing” a chart or table used for data visualization involves a combination of our eyes and brains. Our eyes receive inputs as reflections of light from a visualization that our brains then must differentiate and process. The process through which our brains interpret the reflections of light that enter our eyes is known as visual perception.

The process of visual perception is related to how memory works in our brain. At a very high level, there are three forms of memory that affect visual perception: iconic memory,

short-term memory, and long-term memory. Iconic memory is the most quickly processed form of memory. Information stored in iconic memory is processed automatically, and the information is held there for less than a second. Short-term memory holds information for about a minute, and our minds accomplish this by chunking, or grouping, similar pieces of information together. Estimates vary somewhat, but it is believed that most people can hold about four chunks of visual information in their short-term memories. For instance, most people find it difficult to remember which color represents which category if more than four different colors/categories are used in a bar or column chart. Long-term memory is where we store information for an extended amount of time. Most long-term memories are formed through repetition and rehearsal, but they can also be formed through clever use of storytẻlling.
For most data visualizations, iconic and short-term memory are most important for visual processing. In particular, an understanding of what aspects of a visualization can be processed in iconic memory can be helpful for designing effective visualizations. Preattentive attributes are those features that can be processed by iconic memory. We can use a simple example to illustrate the power of preattentive attributes in data visualization. Examine Figure $3.3$ and count the number of $7 \mathrm{~s}$ in the figure as quickly as you can.

# 数据可视化代考

## CS代写|数据可视化代写Data visualization代考|Preattentive Attributes

“看到”用于数据可视化的图表或表格的行为涉及我们的眼睛和大脑的结合。我们的眼睛接收来自可视化的光反射的输入，然后我们的大脑必须区分和处理这些输入。我们的大脑解释进入我们眼睛的光的反射的过程被称为视觉感知。

## 有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

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