Answer:
look that up on gogle
filler filler filler filler filler
The three tasks within data harmonization, namely: data consolidation, data cleansing, and data formatting use techniques called harmonization rules that implement those tasks -The statement is true
Explanation:
Data harmonization refers to the process of combining the data of varying files and formats ,name conventions and columns and transforming the same into one data set.
Data harmonization refers to the process of integrating multiple data source into a single data set.
By adopting the Data harmonization technique we can reduce the problem of redundant data and conflicting standard
The name harmonization is an analogy to the process to harmonizing discordant music.
The goal of data harmonization is to find commonalities, identify critical data that need to be retained, and then provide a common standard.
Answer:You can only find REaccuracy if you know the actual “true” measurement… something that's difficult to do unless you're measuring against the atomic clock. The formula is: REaccuracy = (Absolute error / “True” value) * 100%.
Explanation:
Answer:
#include <iostream>
using namespace std;
int main()
{
float radius = 5.4;
float circumference = 2 * 3.14 * radius;
float area = 3.14 * radius * radius;
cout<<"the circumference of the circle is "<<circumference<<endl;
cout<<"the area of the circle is "<<area<<endl;
return 0;
}
Explanation:
Include the library iostream for using the input/output instructions.
create the main function and define the variable with value. Then,
use the formula to calculate the circumference and are of circle.
here, choose 
after that, display the result.
Note: All variable define in float type.
Answer:
nasaan po yung tanongkkkkk
