First of all we have to define what is malnutrition. It is a subjective term because your malnutrition may be different from mine. In Africa malnutrition may mean getting no food. In Asia it may mean not getting enough food. In Europe and US countries, it may mean lack of nutritious food or vitamins and minerals. This can be a reason why we are not able to collect the accurate data.
It is difficult to collect accurate data on starvation because it is unethical to conduct controlled studies that involve starving people or animals. Most data on starvation are collected retrospectively (after the fact). This makes them subject to many types of error and bias.
You can not get accurate data on obesity because some obese people may not visit the doctors regarding their weight problems.
The purpose of inquire in statistics is to collect information which is later processed to acquire data. Without this information it would be very difficult to compile accurate data.
It is difficult because countries collect data in different ways and some countries collect data on expenditures instead of incomes.
It is better to obtain as much data possible in order to be as accurate as one can be.
It is difficult to definitively identify the wettest place in the Southern Hemisphere, because accurate and comparable data can be difficult to collect for some areas. However, Fiordland in New Zealand is arguably the wettest region in the Southern Hemisphere.
The more data you have, the more accurate your information. If you have a large amount of evidence of one result, it makes it look correct.
We collect data to see what needs improvement.
You can collect data and store it in a spreadsheet.
We collect data to see what needs improvement.
When they are on holiday they do not collect data When they are writing up their results they do not collect data.
Accurate data is information that is correct.