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>
Answer:
Mercury, rontgen rays, etc.
Explanation:
There are lots of answers to this question, hope these two help.
Answer:
humans,washing mashines,dish washers
Explanation:
William had to manually edit the data if he wants to remove the null values and incorrect column headers.
<h3>What is data editing?</h3>
Data editing is known to be a term that connote the act of making changes, reviewing or adjustment some survey data.
Note that by editing one can remove want one do not want from a group of data and as such, William had to manually edit the data if he wants to remove the null values and incorrect column headers.
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