Several people use data and information interchangeably. There is a distinction between data and information. How? Consider this:

“A healthy body’s BP varies between 120/80 mmHg.”

– claim 1. “On 15/04/2021, Enna’s BP is 120/80.” – 2nd claim

Both statements look alike. Wait! In both cases, the data is in statement 1.




ne cras This guide will help you distinguish between data and information. And where to use data and information.


I have also included examples to help you grasp the distinction. So, get into data and facts.


Data and info overview




Data is a disorganized reality that must be arranged meaningfully. It can be simple if better arranged. Moreover, the data can be interpreted by a machine or a human.


Data includes observations, statistics, symbols, facts, impressions, and characters.




It is a group of data structured and managed to meet specific needs. To make information useful and relevant, it is structured, processed, or displayed.


Besides, information is processed data with relevance, context, and purpose. Manipulation of raw data is also information.




Note: Information gives meaning to raw data and boosts its trustworthiness. It also reduces data ambiguity and ensures undesirability. When data is transformed into information, it eliminates unnecessary details.


Let’s look at some data and information examples!


Data Example


An example of data


Data on a city, state, or country: During the census, all citizens’ data is collected. Awards: The merit list is based on each student’s marks. It is also important to note that the names of pupils are listed in descending order.


Exam results: During an exam, pupils’ average marks are known as data. Result cards: The total marks received by a student are considered as information.


Student information on forms: During the admissions process, students contributed data. Labels for students: The information included in the college acceptance file is used for student address labels.


Survey Data: Many businesses use surveys to acquire data about their customers’ views on a product.


Survey results: When survey data is compiled into a report for management, it is termed information.


How do data and information differ?


Parameters Data Info




The word “data” comes from the Latin datum, which means “to give.” The plural form of datum is “data”. Middle English and old French words for information. “Informing” is the information meaning. It is widely utilized in communication and education.






a set of facts that conveys meaning and news.




Data can be letters, numbers, or a combination.


Information can provide ideas.




Data has no specific goal.


It conveys meaning assigned by analyzing data.




Data can be in tree, table, graph, etc. form.


Based on data, information can be represented as concepts, language, and thoughts.




Raw data in a single unit. It has no meaning unless it is organised. Information is a collection of data and a product that has a logical meaning.


Interrelation Data is the collected detail.


Processable data


metric unit


It is in byte and bit form.


It has significant units like quantity, time, etc.




It is not dependent on data.


It’s up to Data.


Raw parameter unprocessed


It is prepared meaningfully.


Decision Support


It hinders decision-making.


It aids decision-making.




Data considered as an organization’s property and not open to the public.


The public has access to data.




Data is basic knowledge.


Informaton is seen as a second degree of learning




Data alone is meaningless.


Information has meaning.




The researcher’s data may or may not be useful.


Information is important and useful when it is quickly available for use.


Distinctions between data and information in several fields


In computer terms


Computers consider data as input. It also tells the computer what to do and save. Data produce information. It tells the computer how to process data and how to do it optimally.




Data is raw information. But in statistics, data takes precedence over information. Statistics help interpret and summarize data.




Business treats data as raw numbers.


Information is a collection of data points. It helps understand measurements.




Best data collection tools with various approaches




Methods of Data Collection




Checklists Checkli,Canva,Forgett.


Focus Groups Toolkit


Usage Suma


Sony ICD ux560


Google Forms, Zoho Survey.


List of excellent data analysis tools


Use of Data Analysis Tools


MonkeyLearn Analyze text without code.


KNIME Workflows in data science.


Excel Data analysis with advanced formulas.




Analyze in real time.




Create interactive dashboards with data.


Python for ML.


Simple SAS Business Intelligence Visualizations


SQL Organize structured data.




Models for predictive analytics


Talend Collect data in one place.


Database and spreadsheet in one.


Tableau Display findings in style.


R is a data exploration programming language.


Execute in-memory data processing


Looker Adaptive analytics.


Let’s test what you’ve learned here!


Assume data or information from the statements.


  1. 4441239977




(B) Data


Correct Answer: (A) data, like a phone number or an address.


  1. The student’s final exam average score.




(B) Data


Correct Answer: (B) it includes details on a student’s average marks.


  1. A phone number (444)123-9977.




(B) Data


In the form of a person’s contact information, it is information.


  1. Entering “funny cat videos” in the browser (search engine).




(B) Data


Answer: (A) it is data because it is input to the computer.


  1. Each student’s homework and test grade.




(B) Data


Correct Answer: (A) it contains data regarding pupils’ test scores. But it doesn’t say who got the best or worst grades.


  1. The search results include various humorous cat videos from the internet.




(B) Data


Input or searched data are shown as output (B).


  1. The freezing and boiling points of water in Celsius.




(B) Data


Correct Answer: (B) it contains information on certain points (boiling and freezing point).




You must constantly know the difference between data and information. Otherwise, your point of view may be unclear. Also, statistics treat both data and information as data.