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

## 统计代写|数据可视化代写Data visualization代考|The Answer: A Bug

Eventually, Snow’s hypothesis was proved to be correct, but only long after his death in 1858. The causative agent, the bacillus Vibrio cholerae, was discovered with a microscope by the Italian scientist Filippo Pacini in 1854. But this finding seems to have passed largely unnoticed. The very idea that a microscopic living organism could be the cause of the disease was revolutionary and nearly unfathomable.

It wasn’t until a new cholera outbreak occurred in east London in 1866 that William Farr presented more compelling statistical evidence that this outbreak had been caused by sewage-contaminated water; but, like Snow, he had no idea of an organism-based explanation of the mechanism. It remained for the German physician Robert Koch [1843-1910] to isolate the bacillus in a pure culture in 1884, and show that the organism was always found in patients with cholera but never in those with similar symptoms (diarrhea) from other causes.

Scientific and historical appreciations often undergo mood swings. Koch justifiably received the Nobel Prize in Physiology in 1905 for his contributions, which also included the discovery of the tubercle bacillus, the main causative agent of tuberculosis. But it took until 1965 for an international committee on nomenclature to adopt Vibrio cholerae Pacini 1854 as the correct name of the cholera-causing organism.

Much later, the pendulum finally swung back to an appreciation of John Snow as the guy who got it right with the aid of a graph. Such stories, even if somewhat apocryphal, still serve a purpose. They help us to understand the connections among the hard work of data tabulation and summary, and then the effort to turn data into insightful graphical displays. But in science, it is always necessary to sell your idea to contemporaries persuasively. And nothing counts as much as a correct causal explanation that eliminates the alternatives.

## 统计代写|数据可视化代写Data visualization代考|Florence Nightingale’s Graphical Success

If William Farr’s beautiful radial diagram (Plate 2) had no impact because he was displaying the wrong variables, another graphical contribution by Florence Nightingale [1820-1910] to vital statistics in this period changed health policy forever. Moreover, it corrected what is now considered a blunder in the graphic portrayal of counts of deaths by Farr in this figure.

Florence Nightingale, who is widely known as the mother of modern nursing, is called “the lady with the lamp.” She was also a social reformer with a keen understanding of the power of graphics for persuasion, and consequently was also called a “passionate statistician.” 33

Nightingale was born to a wealthy, landed British family. As a young girl, she exhibited an interest in and flair for mathematics, which was encouraged by her father, William. Later, she was profoundly influenced by reading Adolphe Quetelet’s 1835 Sur L’Homme et le Developpement de ses Facultés, in which he outlined his conception of statistical method as applied to the life of man. ${ }^{34}$ She also felt a strong religious calling to the service of others, and against her mother’s strenuous objections, she decided that nursing would be her vocation.

The Crimean War, which was fought by Russia and the forces of France, Britain, and the remnants of the Ottoman Empire, began in October 1853 and lasted until February 1856. In October 1854, Nightingale appealed to her friend Sidney Herbert, secretary of state for war, to send her and a team of nurses to the Crimea. She soon recognized that most of the deaths occurred, not from battle, but from preventable causes: zymotic diseases (mainly cholera) and insufficient sanitary policy in the hospitals that treated the soldiers.

# 数据可视化代考

## 统计代写|数据可视化代写Data visualization代考|Florence Nightingale’s Graphical Success

1853 年 10 月，俄罗斯与法国、英国和奥斯曼帝国的残余势力展开了克里米亚战争，一直持续到 1856 年 2 月。1854 年 10 月，南丁格尔向她的朋友、国务卿西德尼·赫伯特求助为了战争，把她和一队护士送到克里米亚。她很快就意识到，大多数死亡不是来自战斗，而是来自可预防的原因：酵母菌病（主要是霍乱）和治疗士兵的医院卫生政策不足。

## 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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