统计代写|数据可视化代写Data visualization代考|INFS6023

statistics-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

统计代写|数据可视化代写Data visualization代考|Excel’s Recommended Charts Tool

Excel provides guidance for chart selection through its Recommended Charts tool. The Recommended Charts button is found in the Charts group of the Insert tab on the Ribbon. The following steps demonstrate the use of the Recommended Charts tool using the zoo attendance data in the file Zoo shown in Figure 2.3.

Step 1. Select cells A1:B13 Step 2. Click the Insert tab on the Ribbon Step 3. Click the Recommended Charts button Checemmended in the Charts group
The Insert Chart dialog box appears as shown in Figure 2.39. Four different chart types are recommended, a column chart (also shown to the right), a bar chart, a funnel chart, and a combination (combo) chart. Clicking on any of the four charts on the left will display that chart enlarged and to the right, in the same way the column chart is displayed on the right in Figure $2.39$. This allows you to see an enlarged version of the chart before committing to the chart.
Step 4. Select the Clustered Column chart and click OK
Edit the chart as outlined in Section 2-2.

统计代写|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 storytelling.
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.

统计代写|数据可视化代写Data visualization代考|Length and Width

When we refer to the preattentive attributes of length and width for data visualization, we are generally referring to their use with lines, bars, or columns. Therefore, length refers to the horizontal, vertical, or diagonal distance of a line or bar/column while width refers to the thickness of the line or bar/column (see Figure 3.7). Length is useful for illustrating quantitative values because a longer line corresponds to a larger value. Length is used extensively in bar and column charts to visualize data. Because it is much easier to compare relative lengths than relative sizes, bar and column charts are often preferred to pie charts for visualizing data. Consider data on the number of accounts managed by eight account managers. Figure $3.11$ displays these same data as a pie chart (using size of pie pieces to indicate numher of accounts and color to indicate the manager) and a har chart (using length of bafs to indicate number of accounts and labels on the vertical axis to indi cate the manager).

It is much easier to see that the manager with the most accounts managed is Elijah and that Kate manages the second-most accounts from the bar chart in Figure $3.11 \mathrm{~b}$ than from the pie chart in Figure $3.1$ la. We could make the bar chart even easier to interpret by sorting the bars by their length with the longest bar on top and the shortest bar on the bottom by using the Excel Sort function as described in the following steps. The data appear in Figure $3.12$

统计代写|数据可视化代写Data visualization代考|Excel’s Recommended Charts Tool

Excel 通过其推荐图表工具为图表选择提供指导。推荐图表按钮位于功能区插入选项卡的图表组中。以下步骤使用图 2.3 所示的 Zoo 文件中的动物园出勤数据演示了推荐图表工具的使用。

Step 1. 选择单元格 A1:B13 Step 2. 单击功能区上的 Insert 选项卡 Step 3. 单击 Charts 组中的 Recommended Charts 按钮 Checemmended

统计代写|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

tatistics-lab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。