### 统计代写|数据可视化代写Data visualization代考|DESN6003

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|Color Psychology and Color Symbolism

Color psychology is the study of the innate relationships between color and human behavior. Although human psychological reaction to various colors is not uniform, research suggests that people react with a high degree of consistency to various colors. For example, blue skies are thought to make us happier and more energized, while gray skies are thought to make us sadder and more lethargic.

The psychological categorization of colors as warm and cool is thought to be of particular importance. Cool hues are considered to be soothing, calming, and reassuring. On the other hand, warm hues evoke energy, passion, and danger. Purple, blue, and green hues are generally considered to be cool, and yellow, orange, and red hues are generally considered to be warm.
Color symbolism refers to the cultural meanings and significance associated with color. Although they are similar and it is sometimes difficult to discern between them, color psychology and color symbolism are distinct types of stimuli. Color psychology deals with instinctive relationships between color and human behavior, and color symbolism refers to learned relationships between color and human behavior. This implies that color symbolism can differ much more across cultures and can change over time. For example, blue symbolizes masculinity in Europe and North America, but it symbolizes femininity in China. People associate green with envy in the United States, but yellow symbolizes envy to the French and Germans. Yellow is associated with success and power in many African cultures, and it symbolizes refinement to the Japanese. The relationships between color and human behavior that are due to color psychology are much more pervasive and reliable than the relationships between color and human behavior that are due to color symbolism, and we must be careful when using color symbolism in selecting the color palette for a chart.
Although color psychology and color symbolism are distinct, their ramifications are similar. When selecting colors for a visual display, it is important to recognize that color can enhance or change audience perception, so you should carefully consider the consistence of the traits associated with the various colors you are considering with your message. Figure $4.5$ provides a summary of various traits that have been associated with different colors. ${ }^{1}$

## 统计代写|数据可视化代写Data visualization代考|Color Schemes and Types of Data

The color scheme is the set of colors (hues, saturations, and luminances) that are to be used in a data visualization or a series of related data visualizations. The color scheme that we select for a visualization should result from strong consideration of the nature of the data we want to represent with color and the message we want to convey to the audience. For example, color can be used in different ways to represent a categorical variable depending on whether its values represent unordered or ordered groups. When considering a quantitative variable, the way to use color depends on whether we want to express the magnitudes of the values or convey how far the values are below or above a predefined reference value (such as $32^{\circ}$ Fahrenheit for temperature). In this section, we consider color strategies for representing categorical variables with unordered groups, variables with values that can be ordered, and quantitative variables for which we want to show deviations from a reference value.

Because the values of a categorical variable represent discrete groups, displays of a categorical variable are generally used to communicate information about the absolute or relative frequency for each group. When the groups of the categorical variable have no inherent ascending or descending order, the variable is well suited for representation by a distinct color for each of its unique groups. This type of color scheme is referred to as a categorical color scheme or a qualitative color scheme.

Because the color assigned to each unique group must appear distinct to the audience, we generally limit the categorical color scheme to six or fewer colors. When we exceed six colors, the audience may find distinguishing between groups by the associated color to be challenging. Figure $4.7$ shows examples of categorical color palettes available in Excel.

## 统计代写|数据可视化代写Data visualization代考|Diverging Color Schemes

When working with a quantitative variable for which there is a meaningful reference value, such as a target value or the mean, a diverging color scheme (or diverging color palette) should be used. A diverging color scheme is essentially a gradient formed by the combination of two sequential color schemes with a shared endpoint at the reference value. These color schemes use two hues, one of which is associated with values below the reference valne and the other of which is associated with valnes ahnve the reference valne As the valne. of the variable increases, the luminance of the hue associated with values below the reference value progressively increases and the color becomes lighter until we cross the reference point. At that point, the luminance of the hue associated with values above the reference

point progressively decreases and the color becomes darker. Thus, the hue communicates the direction of deviation from the reference point, and the luminance conveys the relative deviation from the reference point. For this reason, the hues used on each side of the reference point in a diverging color scheme are typically distinctive; primary hues are often used to make it easier to distinguish the direction and degree of deviation from the reference point.
Diverging color schemes are most effective when highlighting both extremes (high and low values) of a variable. Continuing with another temperature example, consider the monthly mean daily low Fahrenheit temperatures for Indianapolis for each year from $2010-2019$ in Table $4.1 .^{2}$

## 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。