统计代写|数据可视化代写data visualization代考|Avenues for further research

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|Avenues for further research

This chapter has outlined four important perspectives through which we can think of data visualizations as politically significant. Moreover, it has attempted to clarify the contexts where data visualizations become politically significant, and the notions of politics implied by these contexts. Each of these perspectives implies different avenues for research. In the following, I will briefly point to some of the most important of these.

The ways in which data visualizations form part of public deliberations actualizes questions about the argumentative and rhetorical nature of such visualizations. Do data visualizations, as they appear in public debate, work to clarify or conceal arguments? Do they lay themselves open to (in)

validation? And how are rhetorical devices used to convince? Such questions are important to answer in order to attain a more critical understanding of how data visualizations contribute to public and political discourse-or more generally; to manipulative or argumentative public spheres.

Likewise, there is a need for empirical research into how data visualizations textually promote ideology, and how citizens’ worldviews are shaped or negotiated in their encounters with data visualizations. A further step would be to explore empirically, and in more detail, how the ideological work done by data visualizations connects to or prepares the ground for political agendas.
Moreover, there is a need for a clearer understanding of how the expansion of data visualization affects people’s ability to function as citizens. Through which capacities and in which contexts do data visualizations work as a resource for citizenship, and when do they not? In particular, the affective and affinitive dimensions of how people engage with data visualizations warrant further research. When and how do data visualizations engender feelings of being recognized among audiences, and how may such feelings contribute to audiences’ civic affinities?

Lastly, there is need for more empirical research into when and how data visualizations are used instrumentally as an aid in political or administrative decision-making processes. Such endeavours would enable insight into some of the very concrete and manifest ways in which data visualization affects politics. This would require investigations into the specific contexts where decision-making takes place, be they political, administrative, or legal bodies.
Some of this much-needed research is underway, and can be found in the chapters in this book.

统计代写|数据可视化代写data visualization代考|Eef Masson and Karin van Es

This chapter discusses visualizations of weather data, used to communicate short-term precipitation predictions to lay audiences. Focusing on the example of Buienradar, a popular Dutch weather forecast website and app, it investigates how people engage with such representations on a daily basis, how they interpret them, and how their readings of them affect their actions and decisions, shaping their day-to-day routines. The research is based on semi-structured interviews with users with different demographic profiles. Aside from establishing usage patterns or preferences and readerly strategies, the chapter also considers people’s own evaluations of their conduct in relation to the Buienradar service, and more broadly, their reflections on the significance of weather data visualizations to their lives.

统计代写|数据可视化代写data visualization代考|Introduction

In late August of $\mathbf{2 0 1 7}^{2}$, the spokesperson for a Dutch association of campsite owners criticized Buienradar, an often-used weather forecast website and app, for the financial setbacks its members had incurred over the course of the summer. In an interview with a local newspaper, he posited a causal relation between patrons’ use of the service and cancellations received in the week prior to their stay (Baard \& Hellegers, 2017). The news report

suggests that he primarily blamed the weather service itself, as a source of misleading information. But his statements also betray frustration with the customers, for blindly trusting the overly cautious predictions made.
While this position may sound extreme, it does build on widespread assumptions about how people today access, and act upon, information about the weather, as obtained via a range of (often digital) media. In 2001, the media scholar Marita Sturken already observed that the weather ‘is no longer something one goes outside to register, that one experiences on the ground and in the flesh. It has become, rather, a technological experience, seen from satellites and endlessly monitored on television and the Internet’ (2001, p. 161). But the above anecdote also invokes associations with the sort of (humorous) comments, proliferating online, that suggest that people these days would rather believe what their weather apps tell them than to trust their own senses.

Buienradar, the main target of the campsite owner’s frustrations, is something of a household name in the Netherlands. Launched in 2006, it was the first service in the country to make use of data from KNMI, the national weather office, in order to visualize, in rather distinctive ways, both recent and current rainfall, as based on precipitation detections, and projections for future rainfall. Its present default view has two key elements (see Figures $5.1$ and $5.2$ below). On the one hand, the actual buienradar, literally ‘shower radar’: a map of the Netherlands showing rain clouds in different colours, denoting the amount of rain (in $\mathrm{mm} / \mathrm{h}$ ) observed or predicted, traversing the territory in small increments. And on the other, a so-called regengrafiek or ‘rain chart’: a line graph showing the amount of rain per temporal unit for a given place. In addition, the platform also provides information and predictions on a range of other weather phenomena, in different forms and for different time frames.

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。