What are the types of data in science?

Answer 1

A data is classified as scientific if the cultivation came from a scientific process and research. This means the conclusion in every experiment is a scientific data or those that are taken to account before the experiment occurs.

Answer 2

Data consists of the bits of information about a population that are summarized by using statistical analysis. A list of people and their dates of birth would be data. Their average age is a statistic.
Data is information that represents the qualitative or quantitative attributes of a variable.

Answer 3

1. Big Data: Processing And Preparation I always used to wonder why Big Data terms like Hadoop would just slip in while talking about data science? It’s because you are dealing with huge data – whether it’s 20,000 people in our stadium or millions of people who use banking or a billion of people using the search engine like Google. What do you do here? Look at the past data. We may not require all the parameters/fields in the data. So, we process the data and prepare it for Analysis.
2. Select Suitable Algorithm The next step is to select a suitable algorithm based on our requirement. Why do you need an algorithm? To model the huge amount of data that we have so that we can visualize it better and make exact conclusions. That’s where your math, statistics, and programming skills play a role.
3. Tuning Parameters To Optimize Results Now, we need to tune the parameters to optimize our results. Sound complicated? Yes, it is. It’s basically a process where our model should not only generate good accurate results, but it should be generalized to be applied for future predictions. It takes time and experimentation to do that.

Data science

Answer 4

Data is the information you collect over time.

Answer 5

Data is the information collected during an experiment

Answer 6

1. quantitative

2. qualitative