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:
A. Big Data
Explanation:
It is big data. The internet searches, customer transactions, social media posts, medical tests, weather sensors, military surveillance, and all the data source you are seeing around yourself forms together with the big data. And a big social media company gathers around so many petabytes of data each day. And there are so many such companies, plus all sorts like eLearning sites, etc. And all these together form the big data.
They became more popular and more advanced with their pictures
Answer:
360/number of sides
Explanation:
all the exterior angles add up to 360°
so to find each angle mesure, divide the 360 by the number of sides the figure has.
That’s cool I’ll play the game tonight if I can
