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|Methodological considerations

In light of our wish to gain preliminary insight into how people understand weather data visualizations in relation to the specifics of their everyday lives, we chose to conduct a series of interviews as a basis for our observations. This way, we were best able consider the mutually productive relation between the two, taking into account that daily routines do not merely ‘accommodate’ for interactions with data, but also shape those interactions, and vice versa (e.g. Pink et al., 2017). This method also has the advantage that it allows us insight not only into people’s understandings of weather data visualizations and their experiences of living with them, but also into how they personally assess them. Such reflection by users is of interest here,

because it is informative of how they personally gauge the importance of visualizations and because it sheds light on their own perceptions of the issues such representations raise and the pleasures they provide.

Our findings are based on semi-structured interviews with sixteen users of the Buienradar website and app. In selecting respondents, mostly from our personal network, we sought to consider the diversity of actual experiences among a range of people. This resulted in variations in age (with participants between 25 and 71 , more or less evenly spread across the decades) and gender (eight men and eight women), family structure (people living alone or with a partner, versus members of families with children) and occupation (salaried versus self-employed, and within different sectors). Arguably, our sample is somewhat biased in terms of educational level, in that most of the people we interviewed have completed some form of further education (vocational or academic). Also, for practicality’s sake, all interview subjects have been recruited from the Randstad area of the Netherlands (the megalopolis comprising the country’s largest cities), where we live and work. Most of the interviews lasted between ten and twenty minutes, and they followed roughly the same pattern.

## 统计代写|数据可视化代写data visualization代考|Usage patterns and preferences

Most of our interviewees regularly access information about the weather; two thirds do so at least once a day. About half of them rely for this purpose on the general news media: broadcasts on radio or television or (online) news publications. Oftentimes, they do not actively seek out such information, but encounter it as part of their daily routines in media consumption. Those who go looking for forecasts tend to prefer specialist websites or apps (sometimes as pre-installed on their devices). Overall, source selection is quite arbitrary: respondents often alternate between services, and ‘googling for the weather’ is common, especially in looking for longer-range predictions (e.g. prior to holiday travel).

If we compare forecasts in the mainstream media and on general weather sites with those provided by Buienradar and similar services, more distinct user patterns emerge. ‘Traditional’ forecasts, as we know them from newspapers and TV, tend to focus on averages for the day and week, and mostly feature still or animated maps and tables with icons and numerical information (see Figure 5.3). Generally speaking, people opt for Buienradar when they are looking specifically for predictions of rainfall (as opposed to other weather conditions) that are also more precise-both in terms of

when and where the rain will fall. As a rule, moreover, they are interested in short-term predictions (that is, information concerning the next one to three hours).

Respondents tend to use Buienradar as they are about to undertake an activity that involves leaving the house, often for a journey somewhere. Overwhelmingly, interviewees establish a relation here with bicycling-a highly common means of transportation in the Randstad area. Other activities that prompt them to consult the service range from such day-to-day pursuits as walking the dog or hanging the laundry to dry, to sports practice at different levels of expertise. While some users check Buienradar as a matter of habit, others do so only if it is either (heavily) raining already, or if they have reason to believe that it might. In other words, people are motivated to access the platform by a desire to know if they may ‘get wet’-often in hopes that they can adapt their plans so as to avoid it. In this respect, the intensive use of weather apps seems to have engendered a shift in terms of how weather forecasts are commonly used (cf. for instance Lazo, Morss, \& Demuth, 2009, p. 792).

However, such reading habits do not necessarily derive from limited engagement with the site or app, or the visualizations specifically. In this respect also, our data show considerable differences between interview subjects, who may be roughly divided into two groups based on the expectations they have from the service. Those in the first group tend to avoid information and representations that present some sort of an interpretational hurdle, for instance because they require non-standard knowledge. One map user for instance complained that the rain graph mistakenly presumes that the user understands what it means to confront a specific amount of precipitation (in mm). Respondents in this group therefore also applied simplifying reading strategies (e.g. interpreting the line in said graph as indicative of ‘rain’ or ‘no rain’, rather than a certain measure of precipitation). Another interviewee had difficulties interpreting tables with probability figures (presumably, a common issue in the reception of weather forecasts.

## 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。