### 统计代写|数据可视化代写Data visualization代考|ETX2250

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|Creating and Editing Charts in Excel

The following steps show how to create a column chart in Excel using the data in the file Zoo.
Step 1. Select cells A1:B 13
Step 2. Click the Insert tab on the Ribbon
Step 3. Click the Insert Column or Bar Chart button तt in the Charts group
When the list of column and bar charts subtypes appears, click the Clustered Column button $\sharp$-ll
The chart created in the preceding steps appears in Figure 2.4. We can improve the appearance of the column chart in Figure $2.4$ by following the steps below to delete the horizontal grid lines, make the axes better defined add axis labels, and remove the border of the chart. This will improve the chart by making it simpler and better-defined.

Here we give the step-by-step instructions on how to edit the chart shown in Figure $2.4$, and included in the file ZooChart, so that it appears as shown in Figure 2.5. These steps for editing will be used to throughout the following chapters in this book to improve the formatting of most charts created in Excel.
Step I removes the horizontal grid lines and Step 2 edits the title.
Step 1. Click anywhere on the chart then click on the border of the chart title and press the Delete key
Click the Chart Elements button t
Deselect the check box for Gridlines and select the check box for Axis Titles
Step 2. Click the Chart Title text box above the chart and replace “Chart Title” with Zoo Attendance by Month
Inside the text box, highlight “Zoo Attendance by Month”
Click the Home tab on the Ribbon and in the Font group select Calibri 16 pt Bold

Steps 3-5 format the horizontal axis and axis labels.
Step 3. Double click any label of the horizontal axis
Step 4. When the Format Axis task pane appears, click the Fill \& Line button
Click Line
Select Solid line
In the drop down to the right of Color, under Theme Colors, select Black
Step 5. Click the Home tab on the Ribbon and in the Font group select Calibri $\mathbf{1 0 . 5}$
Steps 6-8 format the vertical axis and axis labels.
Step 6. Double click any label of the vertical axis
Step 7. When the Format Axis task pane appears, click the Fill \& Line button
Click Line
Select Solid line
In the drop down to the right of Color, under Theme Colors, select Black
Step 8. In the Format Axis task pane, click the Axis Options button III
Click Tick Marks
Next to Major type, select Inside
Step 9. Click the Home tab on the Ribbon and in the Font group select Calibri $10.5$
Steps 10-11 add and format axis titles.
Step 10. Select the horizontal axis title, place the cursor over the border of the text box and drag it to the right to the end of the axis.
In the Font group, select Calibri $\mathbf{1 0 . 5}$ and click the Bold B button.
Type Month

## 统计代写|数据可视化代写Data visualization代考|Scatter Charts and Bubble Charts

When exploring data, we are often interested in the relationship between two quantitative variables. For example, we might be interested in the square footage of a house and the cost of the house, or the age of a car and its annual maintenance cost. A scatter chart is a graphical presentătion of the relationiship betweeñ twó quantitative variảbles. Oñe variabblé is shown on the horizontal axis and the other is shown on the vertical axis, and a symbol is used to plot ordered pairs of the quantitative variable values. A scatter chart is appropriate for better understanding the relationship between two quantitative variables. As we shall also see, a bubble chart is an appropriate chart when trying to show relationships with more than two quantitative variables.

The file Snow contains the average low temperature in degrees Fahrenheit and the average annual snowfall in inches for 51 major cities in the United States. A portion of the data are shown in Figure 2.6. These averages are based on thirty years of data. Suppose we are interested in the relationship between these two variables. Intuition tells us that the higher the average low temperature the lower the average snowfall, but what is the nature of this relationship?

The data are plotted in Figure 2.7. This scatter chart is created using the following steps.
Step 1. Select cells Cl:D52
Step 2. Click the Insert tab on the Ribbon
Step 3. Click the Insert Scatter (X,Y) or Bubble Chart button $\because_{a}^{*} \sim$ in the Charts group
When the list chart subtypes appears, click the Scatter button $\% \%$ Then edit the chart as outlined in Section 2-2.
Each point on the chart in Figure $2.7$ represents a pair of numbers. In this case, we have a pair of measurements for each of 51 cities. The measurements are average low temperature in degrees Fahrenheit and average annual amount of snowfall in inches. We can see from the chart that average annual amount of snowfall intuitively levels off at zero for warmweather cities.

Scatter charts are among the most useful charts for exploring pairs of quantitative data. But, what if you wish to explore the relationships between more than two quantitative variables? When exploring the relationships between three quantitative variables, a bubble chart may be useful.

## 统计代写|数据可视化代写Data visualization代考|Line Charts, Column Charts, and Bar Charts

In this section, we consider the line chart, a natural extension of a scatter chart discussed in the previous section. We also introduce column and bar charts which are useful for displaying categorical data.

A line chart uses a point to represent a pair of quantitative variable values, one value along the horizontal axis and the other on the vertical axis, with a line connecting the points. Line charts are very useful for time series data (data collected over a period of time: minutes, hours, days, years, etc.). As an example, let us consider Cheetah Sports. Cheetah sells running shoes and has retail stores in shopping malls throughout the United States. The

The following steps create the line chart of the Cheetah Sports sales data shown in Figure 2.12b.
Step 1. Select cells A1:B11
Step 2. Click the Insert tab on the Ribbon
Step 3. In the Charts group, click the Insert Scatter $(\mathbf{X}, \mathbf{Y})$ or Bubble Chart button :”
Select Scatter with Straight Lines and Markers
Edit the chart as described in Section 2-2
Comparing Figure $2.12 \mathrm{~b}$ with Figure $2.12 \mathrm{a}$, the addition of lines between the points suggests continuity and makes it is easier for the reader to see and interpret changes that have occurred over time.

## 统计代写|数据可视化代写Data visualization代考|Creating and Editing Charts in Excel

Step 10. 选择横轴标题，将光标放在文本框的边框上，向右拖动到横轴的末端。

## 统计代写|数据可视化代写Data visualization代考|Line Charts, Column Charts, and Bar Charts

2.12 b带图2.12一个，在点之间添加线条表示连续性，并使读者更容易看到和解释随着时间的推移而发生的变化。

## 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。