One day, a colleague approaches you with a request:
“Can you help me with a data visualization task? I need to visualize customer spending data from the last quarter to understand the distribution of spending amounts. Specifically, I want to see whether the distribution is symmetrical or skewed or if there are any notable patterns.

Which of the following visualization methods would you suggest to your colleague?

Question

One day, a colleague approaches you with a request:
“Can you help me with a data visualization task? I need to visualize customer spending data from the last quarter to understand the distribution of spending amounts. Specifically, I want to see whether the distribution is symmetrical or skewed or if there are any notable patterns.

Which of the following visualization methods would you suggest to your colleague?

BlackTom AI · Accepted Answer

We start by restating the scenario: you need a visualization to understand the distribution of customer spending data from the last quarter, focusing on symmetry, skewness, and notable patterns. Now, evaluate each option in turn.

Option 1: Scatterplot. A scatterplot maps pairs of numerical variables or a variable against an index, useful for examining relationships or trends over time when you have two variables. It does not effectively reveal the distribution shape of a single variable like spending amounts, and it’s not ideal for assessing symmetry or skewness.

Option 2: Histogram. A histogram groups data into bins and shows the frequency (or density) of observations within each bin. This directly displays the shape of the distribution, making it easy to see symmetry vs. skewness, modality (one peak vs. multiple peaks), and any outliers or gap patterns. This aligns precisely with the goal of understanding distribution characteristics.

Option 3: Line graph. A line graph emphasizes changes over a continuous variable, typically time or another ordered dimension. While it can show trends, it’s not the most effective for visualizing the overall distribution shape of a single variable, since it focuses on sequential values rather than frequency distribution.

Option 4: Bar chart. A bar chart compares categorical groups or summarized statistics across categories. If spending data are continuous, a bar chart would require binning or category creation, which is less direct for assessing the distribution shape. It’s more suited for categorical comparisons than for distribution analysis of a numerical variable.

Putting these considerations together, among the given options, the visualization that best reveals whether the spending distribution is symmetrical, skewed, or has particular patterns is the histogram. It directly communicates the distributional shape by showing frequencies across spending ranges and makes features like skewness and modality visually apparent.

BU.330.780.T1.SP25 Quiz 1- Requires Respondus LockDown Browser

查看解析

登录即可查看完整答案

类似问题

你会选择哪张图表来分析房价分布情况？

Refer to the table in Question 5. Which of the following would be an appropriate graph to display the SqFt data?

You are a professor teaching Data Science, and you want to visually assess if the students' scores on Quiz 1 follow a particular distribution. Which plot would be the best choice for your purpose?

In a consumer society, many adults channel creativity into buying things

Economic stress and unpredictable times have resulted in a booming industry for self-help products

People born without creativity never can develop it

A product has a selling price of $20, a contribution margin ratio of 40% and fixed cost of $120,000. To make a profit of $30,000. The number of units that must be sold is: Type the number without $ and a comma. Eg: 20000

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单