Diagnosing is solving the problem, and troubleshooting is figuring out what the problem is.

Gelneren [198K]

Answer:

By supplying a variety of charts and graphs to present the information in best way.

By tracking and analyzing the data

By conveying large amount of numerical data in more understandable format.

Explanation:

You need to know the limitations of Excel software. You will find that it does not support more than 3 variables while analyzing. However, if you use analytic software like Tableau and Microsoft Power BI then you can use a lot number of variables. And this is done through graphs and charts, and the other variables apart from x, y, z are the colors, shades. etc. Even color alone can add a good number of variables, and hence you can understand. Thus, you will be able to query better. Queries become better if you have more variables. And charts and graphs always present the information in the best way/ Also you can track and analyze the data. And through it conveying a large amount of numerical data in a more understandable format is made possible, and this is definitely quite helpful. Hence, all of the options mentioned above are helpful. But they do not do complex calculations and complex queries in fact.

4 0

3 years ago

Read 2 more answers

your computer running Windows 10 is doing some very strange things with operating system you are fairly certain it is not a hard

AlekseyPX

It might be a virus, when my computer starts going crazy i just bought a fixme stick and they work amazing or trying getting an expert to fix it if it worse

6 0

2 years ago

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Write a class called SimpleSquare that has the following properties: - public int field called num - private int field called sq

mezya [45]

Answer:

public class SimpleSquare{

public int num;

private int square;

public SimpleSquare(int number){

num = number;

square = number * number;

}

public int getSquare(){

return square;

}

Explanation:

*The code is in Java.

Create a class called SimpleSquare

Declare two fields, num and square

Create a constructor that takes an integer number as a parameter, sets the num and sets the square as number * number.

Since the square is a private field, I also added the getSquare() method which returns the value of the square.

6 0

2 years ago

We investigated a program which is probably used as one component of a bigger password breaking algorithm. We determined that th

Svetlanka [38]

Answer:

i dont know

Explanation:

3 0

2 years ago

In order to consolidate your theoretical knowledge into technique and skills with practical and applicational value, you will us

Arisa [49]

Answer:

Check the explanation

Explanation:

Lasso: R example

To run Lasso Regression you can re-use the glmnet() function, but with the alpha parameter set to 1.

# Perform 10-fold cross-validation to select lambda --------------------------- lambdas_to_try <- 10^seq(-3, 5, length.out = 100) # Setting alpha = 1 implements lasso regression lasso_cv <- cv.glmnet(X, y, alpha = 1, lambda = lambdas_to_try, standardize = TRUE, nfolds = 10) # Plot cross-validation results plot(lasso_cv)

Best cross-validated lambda lambda_cv <- lasso_cv$lambda.min # Fit final model, get its sum of squared residuals and multiple R-squared model_cv <- glmnet(X, y, alpha = 1, lambda = lambda_cv, standardize = TRUE) y_hat_cv <- predict(model_cv, X) ssr_cv <- t(y - y_hat_cv) %*% (y - y_hat_cv) rsq_lasso_cv <- cor(y, y_hat_cv)^2 # See how increasing lambda shrinks the coefficients -------------------------- # Each line shows coefficients for one variables, for different lambdas. # The higher the lambda, the more the coefficients are shrinked towards zero. res <- glmnet(X, y, alpha = 1, lambda = lambdas_to_try, standardize = FALSE) plot(res, xvar = "lambda") legend("bottomright", lwd = 1, col = 1:6, legend = colnames(X), cex = .7)

Kindly check the Image below.

5 0

2 years ago