<h3>ANSWER:The main reason why laptops are more expensive than desktops is in the development costs to create hardware that is compact enough and at the same time meeting an expected level of performance.</h3>
<h3>And it’s not just performance that is a big challenge. It is also keeping the system cool enough that stability is maintained under most common usage conditions</h3>
Answer:
c. Using the Data Refinery tool
Explanation:
Data wrangling and tidying in Data Science is the process whereby data to be analysed is obtained, cleaned and arranged before it is analysed in the environment.
Since Watson Studio happens to be an IBM premier integrated development environment for data science and artificial intelligence practitioners, there is need for them to have data softwares to make data scientists practitioners' works easier.
<em>In this scenario, the best tools to aid in tidying data in the Watson studio would be the use of </em><u><em>Data Refinery Tool.</em></u>
Global source and binary.
Support for mixed-script computing environments.
Improved cross-platform data interoperability through a common codeset.
Space-efficient encoding scheme for data storage.
Reduced time-to-market for localized products.
Expanded market access.
