统计代写|数据可视化作业代写data visualization代考|Marketing

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|数据可视化作业代写data visualization代考|Marketing

Marketing is one of the most popular application areas of analytics. Analytics lis used for optimal pricing, markdown pricing for seasonal goods, and optimal allocation of marketing budget. Sentiment analysis using text data such as tweets, social networks to determine influence, and website analytics for understanding website traffic and sales, are just a few examples of how data visualization can be used to support more effective marketing.

Let us consider a software company’s website effectiveness. Figure $1.9$ shows a funnel chart of the conversion of website visitors to subscribers and then to renewal customers. A funnel chart is a chart that shows the progression of a numerical variable for various categories from larger to smaller values. In Figure 1.9, at the top of the funnel, we track $100 \%$ of the first-time visitors to the website over some period of time, for example, a six-month period. The funnel chart shows that of those original visitors, $74 \%$ return to the website one or more times after their initial visit. Sixty-one percent of the first-time visitors downloaded a 30 -day trial version of the software, $47 \%$ eventually contacted support services, $28 \%$ purchased a one-year subscription to the software, and $17 \%$ eventually renewed their subscription. This type of funnel chart can be used to compare the conversion effectiveness of different website configurations, the use of bots, or changes in support services.

统计代写|数据可视化作业代写data visualization代考|Operations

Like marketing, analytics is used heavily in managing the operations function of business. Operations management is concerned with the management of the production and distribution of goods and services. It includes responsibility for planning and scheduling, inventory planning, demand forecasting, and supply chain optimization. Figure $1.10$ shows time series data for monthly unit sales for a product (measured in thousands of units sold). Each period corresponds to one month. So that a cost-effective production schedule can be developed, an operations manager might have responsibility for forecasting the monthly unit sales for next twelve months (periods $37-48$ ). In looking at the time series data in Figure 1.10, it appears that there is a repeating pattern and units sold might also be increasing slightly over time. The operations manager can use these observations to help guide the forecasting techniques to test to arrive at reasonable forecasts for periods $37-48$.

统计代写|数据可视化作业代写data visualization代考|Engineering

Engineering relies heavily on mathematics and data. Hence, data visualization is an important technique in every engineer’s toolkit. For example, industrial engineers monitor the production process to ensure that it is “in control” or operating as expected. A control chart is a graphical display that is used to help determine if a production process is in control or out of control. A variable of interest is plotted over time relative to lower and upper control limits. Consider the control chart for the production of 10 -pound bags of dog food shown in Figure 1.11. Every minute, a bag is diverted from the line and automatically weighed. The result is plotted along with lower and upper control limits obtained statistically from historical data. When the points are between the lower and upper control limits, the process is considered to be in control. When points begin to appear outside the control limits with some regularity and/or when large swings start to appear as in Figure 1.11, this is a signal to inspect the process and make any necessary corrections.

The natural and social sciences rely heavily on the analysis of data and data visualization for exploring data and explaining the results of analysis. In the natural sciences, data are often geographic, so maps are used frequently. For example, the weather, pandemic hot spots, and species distributions can be represented on a geographic map. Geographic maps are not only used to display data, but also to display the results of predictive models. An example of this is shown in Figure 1.12. Predicting the path a hurricane will follow is a complicated problem. Numerous models, each with its own set of influencing variables (also known as model features), yield different predictions. Displaying the results of each model on a map gives a sense of the uncertainty in predicted paths across all models and expands the alert to a broader range of the population than relying on a single model. Because the multiple paths resemble pieces of spaghetti, this type of map is sometimes referred to as a “spaghetti chart.” More generally, a spaghetti chart is a chart depicting possible flows through a system using a line for each possible path.

广义线性模型代考

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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。