Can data speak?
Given the following data table regarding employees, we will try to retrieve interesting information from it.
| Name | Salary ($) | Age (Years) |
| Jane | 90000 | 52 |
| John | 85000 | 48 |
| Delilah | 75000 | 32 |
| Dave | 90000 | 53 |
| Ellen | 82000 | 44 |
Closely look at the table for several minutes. Then, write down anything interesting you can find.
Here is what I could find from the table above. You can see how many of your findings match with the findings listed below and how many of your findings are not listed below. Please feel free to write your additional findings in the Comments section.
- Jane and Dave earn the highest salary.
- Delilah earns the least.
- Jane and Dave are the oldest people in the group.
- Delilah is the youngest among all the employees in the table.
These are all interesting findings. What else?
Will the following statement be a correct one based on the information provided in the table?
Older people earn more in the company from where the data was collected.
It is indeed a correct piece of information based on the data provided to us in the table.
Now, let us go back to the definition: Data refers to “facts and statistics collected for reference or analysis.”
This table has facts. This table is collected from a company. We used the table for analysis. We revealed that the company appreciates experienced employees. Basically, the data reflects a general trend –
Experience, wisdom, (and money, which is the salary in this case) come with age.
There can be debates regarding the conclusion but the main point is — Data Speaks. Data gives us insights. Data gives us those light-bulb moments.
22 Comments
Truly, Data speaks.
i will see that the high experience person salary is more than less experience person and they will earn more.
Thanks sir for timing
thank you for you time and commitment sir. I am learning.
From the data collected, all staff above 50 years of age earn 90,000 and also there is chance for a better pay based on staff loyalty.
Yes, I agree that data do speak! However, I do believe that it is also good to keep in mind common sense when analyzing the outcome of data analysis.
This imaginary organisation might have a saturation in salary increment after certain age threshold.
Great Initiative Brother !!
Thank you for sharing your thoughts regarding the data. Have a wonderful day!
This data is finding out older employees can get more earn and let me answer that the data can definitely speak.
Thank you!
We have two people who their salary are exactly the same
You are correct! Thank you for watching and commenting. Have a wonderful week.
Data fall under three categories based on statistics
There are many types of data, such as, numerical, categorical, text, temporal. When it comes to applying algorithms, most of the times, data scientists covert all other types to numerical data. Thank you for your valuable comment.
Data defines based on the age ( that means experience) increase the salary of the employee.
Agreed. Thank you for your comment.
Remuneration is gender-neutral. just based on experience
Great thought!
Depends on their working experiences, their salary are increasing as your simple table.
That is correct. Thank you for going over the topic.
Data actually speaks. Furthermore, I love the definition of data. Correct data brings out correct analysis.
I am glad to know that you liked the definition of data. I agree with you — correct data leads to fruitful analysis. Thank you for visiting and your comment.