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>
The hard drive
the power supply
the ram
the heat sink
the cpu
the motherboard
expansion slots
Answer:
<em>Solution</em>:
The statements are listed below.
<em>(A) Functional requirement </em>
- Functional specifications refer to the handling of calls.
- Minimum call number should be 3000, and a functional requirement.
<em>(B) Non-functional requirement</em>
- Non-functional requirement is the default option.
- Payment in "Visa" is required and this is not a functional requirement.
<em>(C) Data requirements</em>
- Data requirements apply to quantity of order.
- When the quantity of data exceeds then an exception should be notified
<em>(D) Business requirements. </em>
- Product reviews are subject to business requirements.
Answer: you can say or talket to them why or how
Explanation: