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Mariana [72]
3 years ago
5

Watson Studio is the IBM premier integrated development environment for data science and artificial intelligence practitioners.

For the data scientist, tidying data is the most time consuming and least enjoyable activity. Which of the following tools in Watson Studio is best suited to help with data tidying and data wrangling?
a. Integration with Jupyter Notebooks.
b. Creation of Projects within Watson Studio.
c. Using the Data Refinery tool.
d. Using the Modeler tool.
Computers and Technology
1 answer:
fomenos3 years ago
3 0

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>

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Answer:

// program in C++.

// headres

#include <bits/stdc++.h>

using namespace std;

// main function

int main()

{

   // array

   int temperatures[7];

   // count variable

   int count=0;

   cout<<"Enter the temperature of all days:";

   for(int a=0;a<7;a++)

   {

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       cin>>temperatures[a];

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       count++;

   }

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   cout<<"number of days of extreme temperature:"<<count<<endl;

return 0;

}

Explanation:

Create an array of size 7 to store the temperature of all days of week.Read the temperature of each day.If the temperature is less than -10 or greater than 25 then increment the count.This will count the number of days of extreme temperature.Print  the count.

Output:

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number of days of extreme temperature:4

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