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Data Interpretation Assessment Test

About the test:

数据解释测试评估了候选人分析复杂数据,从表,图表和图形等多个数据源中提取有意义的见解和结构观察的能力。

Covered skills:

  • 阅读数据
  • 解释图
  • 分析表
  • 绘画推论
  • 分析图表
  • 数据可视化

9 reasons why
9 reasons why

Adaface Data Interpretation Test is the most accurate way to shortlist 数据分析师s



Reason #1

Tests for on-the-job skills

The Data Interpretation Assessment Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • 准确读取和解释数据
  • 从数据中绘制逻辑推断
  • 有效分析和解释图
  • 准确分析和解释图表
  • 有效地分析和解释表
  • 数据可视化技能有效地介绍信息
Reason #2

No trick questions

no trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface
Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

这些只是我们库中有10,000多个问题的一个小样本。关于此的实际问题 数据解释评估 将是不可行的.

🧐 Question

Medium

Dividends
Financial Analysis
Percentage and Average Calculations
Solve
Consider the following line chart which shows the money invested by a company in production each year and the sales made by the company each year. If the pie chart shows the shareholding pattern of the company and the company gives 10% of the profit as dividends to its share holders then what is the average dividend received by retail investors from 2000 to 2004?
 image
 image

Medium

Laptop Brands
Proportions and Percentages
Financial Reasoning
Solve
Given below is the list of laptop brands and their details in which some data is missing. If the cost price of Dell is 3/5 of the cost price of Lenovo, then what will be the %profit of Dell?
 image

Hard

Median
Trend Analysis
Statistical Reasoning
Solve
 Consider the following line chart which shows the sales of five different companies from 2000 to 2009. Which of the following companies has the maximum percentage increase in the median from 2000 to 2004 and 2005 to 2009.
 image
🧐 Question🔧 Skill

Medium

Dividends
Financial Analysis
Percentage and Average Calculations

3 mins

Data Interpretation
Solve

Medium

Laptop Brands
Proportions and Percentages
Financial Reasoning

2 mins

Data Interpretation
Solve

Hard

Median
Trend Analysis
Statistical Reasoning

3 mins

Data Interpretation
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Dividends
Financial Analysis
Percentage and Average Calculations
Data Interpretation
Medium3 mins
Solve
Laptop Brands
Proportions and Percentages
Financial Reasoning
Data Interpretation
Medium2 mins
Solve
Median
Trend Analysis
Statistical Reasoning
Data Interpretation
Hard3 mins
Solve
Reason #4

1200+ customers in 75 countries

customers in 75 countries
Brandon

借助 Adaface,我们能够将初步筛选流程优化达 75% 以上,为招聘经理和我们的人才招聘团队节省了宝贵的时间!


Brandon Lee, 人事主管, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment 数据解释评估 in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the 数据解释评估 from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

invite candidates
Reason #7

Detailed scorecards & benchmarks

查看样本记分卡
Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

test completion rate
Reason #9

Advanced Proctoring


Learn more

About the Data Interpretation Online Test

Why you should use Pre-employment Data Interpretation Assessment Test?

The 数据解释评估 makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • 分析和解释数据集
  • 从数据中汲取有意义的推论
  • 理解和解释图和图表
  • 分析和解释表
  • 通过各种技术可视化数据
  • 应用统计分析来解释数据
  • 识别数据的模式和趋势
  • 应用数据分析技术解决问题
  • 了解数据可视化原理
  • 执行数据驱动决策

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Data Interpretation Assessment Test?

  • 绘制推断

    绘制推论涉及使用数据和信息来使用数据和信息来得出逻辑结论或做出有根据的猜测。它需要深入了解上下文以及将点连接到揭示基本模式或关系的能力。评估此技能有助于评估个人的分析思维和解决问题的能力。

  • 解释图

    解释图涉及理解并理解数据的视觉表示,例如线图,bar bar图表或饼图。它需要从信息的视觉描述中分析趋势,识别模式并提取见解的能力。评估此技能至关重要,因为它评估了个人从数据可视化中得出知识的能力。

  • 分析图表

    分析图表是指从图表中提取有意义信息的能力,例如直方图等图表,散点图或盒子图。它涉及解释各种数据点,理解关系并检测图表中的异常或趋势。评估这项技能有助于衡量个人根据图形表示做出数据驱动决策的能力。

  • 分析表

    分析表涉及从表格数据结构中理解和提取相关信息。它要求能够识别模式,比较数据点并从有组织的格式获得见解。评估此技能使招聘人员能够评估个人对细节和定量数据分析技能的关注。

  • 数据可视化

    数据可视化是指以视觉或图形格式表示数据的实践增强理解和沟通。它涉及创建清晰和视觉上吸引人的图表,图形或仪表板,以呈现复杂的数据集或趋势。衡量此技能有助于评估个人通过视觉手段有效地传达见解的能力。

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for 数据解释评估 to be based on.

    线图
    条形图
    饼状图
    散点图
    直方图
    数据点
    数据趋势
    数据模式
    数据比较
    数据解释技术
    数据可视化方法
    识别异常值
    数据分析
    数据摘要
    数据推断
    数据表示
    数据探索
    数据操纵
    数据聚合
    数据提取
    数据报告
    数据预测
    离散数据
    连续数据
    相关分析
    回归分析
    统计学意义
    数据准确性
    数据可靠性
    数据有效性
    数据完整性
    数据解释技能
    分析趋势
    识别数据中的关系
    基于数据的决策
    解释来自不同来源的数据
    数据驱动的决策
    可视化工具
    数据分析软件
    数据解释能力
    有效的数据通信
    数据素养
    数据驱动的见解
    数据驱动问题解决
    数据解释最佳实践
    数据解释限制
    数据解释挑战
    数据解释策略
    探索性数据分析
    数据分类
    数据可视化技术
    数据解释能力
    数据解释复杂性
    数据解释准确性
    数据解释错误
    数据解释效率
    预测分析
    数据外推
    数据插值
    数据可视化技能
    定性数据分析
    定量数据分析
    数据表示方法
    数据解释方法
    解释数据偏见
    数据解释工具
    数据显示
    数据理解

What roles can I use the Data Interpretation Assessment Test for?

  • 数据分析师
  • 数据科学家
  • 业务分析师
  • 数据工程师
  • 数据库管理员
  • 数据管理器
  • 金融分析师
  • 市场研究分析师
  • 顾问
  • 运营分析师

How is the Data Interpretation Assessment Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • 在现实情况下应用数据解释技能
  • 操纵和分析大型数据集
  • 应用先进的统计技术来吸引见解
  • 创建数据可视化以传达发现
  • 利用数据可视化工具
  • 设计内容丰富洞察的图表和图表
  • 应用数据挖掘技术来提取知识
  • 实施适当的数据分析方法
  • 验证和验证数据解释
  • 有效地介绍数据解释
Singapore government logo

招聘经理认为,通过小组面试中提出的技术问题,他们能够判断哪些候选人得分更高,并与得分较差的候选人区分开来。他们是 非常满意 通过 Adaface 筛选入围的候选人的质量。


85%
减少筛查时间

Data Interpretation Hiring Test 常见问题解答

什么是数据解释测试?

数据解释测试评估了候选人以表格,图表和图表形式解释数据的能力。招聘人员可以使用这种就业前评估来确定哪些候选人具有可以在工作中表现出色的数据和能力技能。

数据解释测试包括什么类型的问题?

数据解释前就业测试包括基于方案的问题,这些问题需要候选人:

  • 分析数字数据
  • 了解给定的信息(从表,图和图表)
  • 使用数学技能计算值
  • 从数据中获取推论
  • 确定何时提供的数据不足以得出特定的结论
  • 通过检查数据点之间的关系来建立相关性

我可以将数据解释测试与能力测试相结合吗?

是的,您可以获得一个自定义测试,其中包括数据解释测试和能力测试(逻辑推理,数值推理,抽象推理,空间推理等)。

我可以将多个技能结合在一起,为一个自定义评估吗?

是的,一点没错。自定义评估是根据您的职位描述进行的,并将包括有关您指定的所有必备技能的问题。

您是否有任何反交换或策略功能?

我们具有以下反交易功能:

  • 不可解决的问题
  • IP策略
  • Web Protoring
  • 网络摄像头Proctoring
  • 窃检测
  • 安全浏览器

阅读有关[Proctoring功能](https://www.adaface.com/proctoring)的更多信息。

如何解释考试成绩?

要记住的主要问题是评估是消除工具,而不是选择工具。优化了技能评估,以帮助您消除在技术上没有资格担任该角色的候选人,它没有进行优化以帮助您找到该角色的最佳候选人。因此,使用评估的理想方法是确定阈值分数(通常为55%,我们为您提供基准测试),并邀请所有在下一轮面试中得分高于门槛的候选人。

我可以使用该测试的经验水平?

每个ADAFACE评估都是为您的职位描述/理想候选角色定制的(我们的主题专家将从我们的10000多个问题的图书馆中选择正确的问题)。可以为任何经验级别定制此评估。

每个候选人都会得到同样的问题吗?

是的,这使您比较候选人变得容易得多。 MCQ问题的选项和问题顺序是随机的。我们有[抗欺骗/策略](https://www.adaface.com/proctoring)功能。在我们的企业计划中,我们还可以选择使用类似难度级别的问题创建多个版本的相同评估。

我是候选人。我可以尝试练习测试吗?

不,不幸的是,我们目前不支持实践测试。但是,您可以使用我们的[示例问题](https://www.adaface.com/questions)进行练习。

使用此测试的成本是多少?

您可以查看我们的[定价计划](https://www.adaface.com/pricing/)。

我可以免费试用吗?

我刚刚搬到了一个付费计划。我如何要求自定义评估?

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