Interval and ordinal data are two data types used in statistics and a unit of measurement used in data quantities. Ordinal data are known to be characterized by a clear and natural sequence,...Read More
Hadoop is an amazing programming framework that is quickly gaining prominence. It is sponsored by the Apache Software Foundation and has the support of the Java programming community. Hadoop as a...Read More
Often, when using theory as the basis for a study, one may find that the theory was not supported. This can occur for several reasons, such as the...Read More
Qualitative analysis and quantitative analysis are two basic methods of receiving and interpreting data in research. These methods can be used separately or even together. However, they have some...Read More
Data hiding, otherwise known as abstraction, and encapsulation are both basic oriented programming—concepts that allow you to apply real-world objects into programs and codes. Abstraction...Read More
The main difference between data warehousing and data mining:
Data warehousing is the process of compiling and organizing data into one common database.
Data mining is the process of...Read More
Data subject and data protectors are two entities that are different from each other, though they both have to do with data. First of all, what or who is a data subject? The data subject has to...Read More
Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why...Read More