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Data Interpretation Test | Pre-employment assessment - Testlify
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Data Interpretation Test

Overview of Data Interpretation Test

A data interpretation assessment is a pre-employment aptitude test used by businesses to assess individuals’ data interpretation ability.

Skills measured

  • Pie Chart
  • Line Chart
  • Table Chart

Available in



Cognitive Ability


10 Mins





Use of Data Interpretation test

The process of reviewing data and arriving at meaningful conclusions using various analytical approaches is referred to as data interpretation. This is vital for sales, finance, and IT employees who must generate reports, extract data and make conclusions. It also assists researchers in categorizing, manipulating, and summarising information to answer crucial issues.

Relevant for

  • Data Analyst
  • Financial Analyst
  • Business Analyst

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Pie Chart

A pie chart is a type of chart that displays data as a circular diagram, with each data series represented by a different slice of the pie. Pie charts are used to visualize data that can be divided into categories or proportions, such as the market share of different companies or the percentage of a budget that is allocated to different categories.


Line Chart

A line chart is a type of data visualization that represents information through a series of data points connected by straight lines. Line charts are useful for showing trends over time, comparing multiple sets of data, and identifying patterns or fluctuations in data. They are commonly used in business, finance, and scientific research to visualize and analyze data in a clear and concise manner. Line charts are important for helping users understand and interpret complex data sets, make informed decisions, and communicate findings effectively to others.


Table Chart

Table chart skills are crucial in data interpretation as they allow individuals to efficiently organize and analyze large sets of data. By presenting information in a clear and structured format, table charts help to identify trends, patterns, and outliers within the data. This visual representation also makes it easier to make comparisons between different data points and draw meaningful insights. Table chart skills are essential for decision-making processes in various fields such as business, finance, and research, as they provide a comprehensive overview of complex data sets. Mastering table chart skills can greatly enhance one's ability to interpret and communicate data effectively.

The Data Interpretation test is created by a subject-matter expert

Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.

subject matter expert

Why choose Testlify

Elevate your recruitment process with Testlify, the finest talent assessment tool. With a diverse test library boasting 1500+ tests, and features such as custom questions, typing test, live coding challenges, Google Suite questions, and psychometric tests, finding the perfect candidate is effortless. Enjoy seamless ATS integrations, white-label features, and multilingual support, all in one platform. Simplify candidate skill evaluation and make informed hiring decisions with Testlify.

Top five hard skills interview questions for Data Interpretation

Here are the top five hard-skill interview questions tailored specifically for Data Interpretation. These questions are designed to assess candidates’ expertise and suitability for the role, along with skill assessments.

hard skills

Why this Matters?

Data interpretation professionals must have a strong foundation in statistics and be able to use statistical models to analyze data and extract insights.

What to listen for?

Listen for the candidate to describe their experience with statistical analysis techniques such as regression analysis, hypothesis testing, and time series analysis. Pay attention to their understanding of statistical models such as linear regression, logistic regression, and decision trees, and their ability to explain statistical concepts in simple terms.

Why this Matters?

Data interpretation professionals must be able to communicate insights effectively through data visualization and storytelling.

What to listen for?

Listen for the candidate to describe their experience with data visualization tools such as Tableau, Power BI, or D3.js. Pay attention to their understanding of data visualization best practices and design principles, and their ability to create clear and effective visualizations that communicate insights.

Why this Matters?

Data interpretation professionals must be able to work with messy or incomplete data and transform it into a format that is suitable for analysis.

What to listen for?

Listen for the candidate to describe their experience with data cleansing techniques such as outlier detection, imputation, and data normalization. Pay attention to their understanding of data cleaning best practices, and their ability to explain how they would handle different types of data quality issues.

Why this Matters?

Data interpretation professionals must be able to use machine learning algorithms to extract insights from large and complex data sets.

What to listen for?

Listen for the candidate to describe their experience with machine learning algorithms such as clustering, classification, and regression. Pay attention to their understanding of machine learning concepts such as feature selection, cross-validation, and model interpretation, and their ability to explain how they would approach different types of machine learning problems.

Why this Matters?

Data interpretation professionals must be able to extract data from databases and manipulate it for analysis.

What to listen for?

Listen for the candidate to describe their experience with SQL and other data querying languages such as Python or R. Pay attention to their understanding of database concepts such as joins, aggregations, and subqueries, and their ability to write complex queries that extract and transform data for analysis.

Frequently asked questions (FAQs) for Data Interpretation Test

The Data Interpretation assessment is a test that assesses a person's ability to understand and analyze various types of data, including numerical, statistical, and graphical data. This assessment evaluates a person's skills in interpreting data and using it to draw conclusions or make predictions.

The Data Interpretation assessment can be used by recruiters and hiring managers to evaluate a candidate's ability to calculate averages or ratios, identify trends or patterns in data, or make predictions based on the data.

Data Scientist
Data Analyst
Research Analyst
Lead –Data Analyst
Associate data analyst
Business Analyst
Financial Analyst
Sales Analyst
Investment Analyst

Pie Chart
Bar Chart
Percentage of increase-decrease problems
Ratio- proportion problems on the data

Data interpretation is the process of analyzing and making sense of data. It is used to extract insights and information from data, and to identify trends, patterns, and relationships in the data.

Frequently Asked Questions (FAQs)

Want to know more about Testlify? Here are answers to the most commonly asked questions about our company

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Testlify is a web-based platform, so all you need is a computer or mobile device with a stable internet connection and a web browser. For optimal performance, we recommend using the latest version of the web browser you’re using. Testlify’s tests are designed to be accessible and user-friendly, with clear instructions and intuitive interfaces.

Yes, our tests are created by industry subject matter experts and go through an extensive QA process by I/O psychologists and industry experts to ensure that the tests have good reliability and validity and provide accurate results.

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