### 统计代写|数据可视化代写Data visualization代考|BINF7003

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|Other Data Visualization Design Issues

Data visualizations should be easy to view and interpret by the audience. Charts and tables should reveal insights to the audience, while minimizing the cognitive load required of the audience. We can minimize cognitive load by using preattentive attributes and Gestalt principles as well as by increasing the data-ink ratio in our data visualizations. We can also minimize cognitive load by minımizing the eye travel required by the audience.
Consider the Ollice of Budget and Performance Improvement for the City of Springfield. This city office would like to compare the performance of the two police districts located in its city. One performance metric used by the city is clearance rate, which is the fraction of reported crimes that result in an arrest. Figure $3.25$ compares the clearance rates for property crimes in Springfield’s District 1 and District 2 over the last 6 months.A

Figure $3.25$ has several characteristics that increase the required eye travel for the audience. Many of these characteristics are typical of default charts created in Excel. First, the legend is located at the bottom of the chart. This requires the audience members to look at the legend at the bottom of the chart and then move their eyes up to the lines to match the line type from the legend with the correct line in the chart. We can greatly reduce the eye travel required of the audience by moving the legend closer to the lines or, even better, by directly labeling each line in the chart. Second, Excel also typically inserts vertical-axis title text as rơated 90 dégrees from thé chart titlé ănd hoorizontăl-axis title. This requires thé audiencế’s eyes to move all around the chart to read the horizontal-axis title, the vertical-axis title, and the chart title. It is better to align the titles within a chart as much as possible so the audicnce can look at only a few places to quickly interpret the chart. The steps below demonstrate how we can improve Figure $3.25$ to reduce the amount of eye travel required by the audience.
Step 1. Click anywhere on the chart in the file ClearanceRatesChart
Click the Chart Elements button $+$
Deselect the check box for Legend
Step 2. Double-click the last data point on the line in the chart for the District 1 data to select only that data point

Right-click the selected data point and select Add Data Label (this will add a data label with the value of this data point which is “24”)

Change the “24” in this data label to District $l$ and change the font to
Calibri $10.5$
Step 3. Double-click the last data point on the line in the chart for the District 2 data to select only that data point

Right-click the selected data point and select Add Data Label (this will add a data label with the value of this data point, which is ” $20 “$ “) Change the ” $20 “$ in this data label to District 2 and change the font to Calibri $10.5$
Step 4. Click the vertical-axis title “Proportion Closed with Arrest (क)” Press the Delete key

## 统计代写|数据可视化代写Data visualization代考|Choosing a Font for Text

Text is an important part of any data visualization. It is used to label axes, fill in table values, and call out important aspects of the visualization to the audience. Because text is such an important part of a data visualization, the font that is used to display the text is also an important consideration. Most data visualization software tools, including Excel, allow the user to choose from dozens, and even hundreds, of font options for displaying text.

Not all data visualization experts agree on the preferred type of font to use for text in data visualizations, and often this choice may depend on the needs of the audience or on other design elements of the data visualization. However, most experts agree that some font types are generally preferred for text in a data visualization over others, for example, sans-serif fonts (fonts that do not contain serifs) are generally preferred over serif fonts (fonts that do contain serifs) for text in a data visualization. Serif’s refer to the small end-of-stroke features that are visual in the characters created using serif fonts. Figure $3.27$ illustrates the difference between sansserif and serif fonts. Common serif fonts include Times, Times New Roman, and Courier. Common sans-serif fonts include Arial, Calibri, Myriad Pro and Verdana.

In general, serif fonts are preferred for printed work and sans-serif fonts are preferred for text displayed digitally. Sans-serif fonts are also often more legible than serif fonts at small sizes. Because data visualizations are often viewed in both print form and digitally, and because data visualizations often contain fonts of many different sizes, sans-serif fonts are generally preferred over serif fonts for text in data visualizations. In this textbook, all charts provided in Excel use the sans-serif font Calibri because it is the default font in Excel. Most printed charts in the textbook use the sans-serif font Myriad Pro because it is legible at many different sizes and it works well for both print and digital work. However, other sans-serif fonts, such as Arial and Verdana, are also usually acceptable for data visualization purposes.

## 统计代写|数据可视化代写Data visualization代考|Wrong Type of Visualization

The best type of chart or table to use for data visualization strongly depends on the audience that will view the visualization as well as the insights or story that is to be told through the visualization. Throughout this textbook, we provide best practices for designing effective data visualizations, but many of the decisions related to which chart to use and some aspects of the design will depend on the situation and goal of the visualization. In this section, we use the concepts presented in this chapter to discuss several situations for which one type of visualization is preferred over another. However, we must keep in mind that the most effective visualization depends on the needs of the audience and the message we are trying to convey.
If the goal of the visualization is to convey precise numerical values, then it is often preferable to use a table rather than a chart. Because it is more difficult for an audience to make relative comparisons on the preattentive attribute of shape than on the preattentive attribute of length, bar or column charts are generally preferred over pie charts. However, there are cases for which the most appropriate type of visualization depends on the goal of the visualization and is not always obvious.

Consider the case of Stanley Consulting Group, a company that provides analytics consulting to nonprofit companies. Stanley Consulting Group has offices in Hartford, Stamford, and Providence. Each office has a similar number of consultants and similar performance expectations. Stanley Consulting Group would like to compare the performance of each office. It is mostly interested in comparing each office’s performance relative to the quarterly goal, and in identifying trends over time at each location.

## 有限元方法代写

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## 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。