create a new Java application called "WeightedAvgDataAnalyzer" (without the quotation marks), that modifies the DataAnalyzer.java in Horstmann Section 7.5, pp. 350-351 according to the specifications below.

The input file should be called 'data.txt' and should be created according to the highlighted instructions below. Note that even though you know the name of the input file, you should not hard-code this name into your program. Instead, prompt the user for the name of the input file.

The input file should contain (in order): the weight (a number greater than zero and less than or equal to 1), the number, n, of lowest numbers to drop, and the numbers to be averaged after dropping the lowest n values.

You should also prompt the user for the name of the output file, and then print your results to an output file with the name that the user specified.

Your program should allow the user to re-enter the input file name if one or more of the exceptions in the catch clauses are caught.

Your methods for getting data and printing results should each throw a FileNotFoundException which should be caught in the main method.

Use try-with-resources statements (Links to an external site.)Links to an external site. in your methods for getting and printing the data, and so avoid the need to explicitly close certain resources.

In your readData method, use hasNextDouble to check ahead of time whether there's a double in the data. That way when you try to get the nextDouble, your code won't throw a NoSuchElementException.

You can use a writeFile method that does all the work (i.e., does not call a writeData method the way that Horstmanns readFile method calls a readData method). Use a try-with-resources statement in your writeFile method when creating a new PrintWriter.

The inputValues come from a single line in a text file (data.txt) such as the following: 0.5 3 10 70 90 80 20

The output in the output file must give the weighted average, the data and weight that were used to calculate the weighted average, and the number of values dropped before the weighted average was calculated.

Your output should look very much like the following: "The weighted average of the numbers is 42.5, when using the data 10.0, 70.0, 90.0, 80.0, 20.0, where 0.5 is the weight used, and the average is computed after dropping the lowest 3 values."

Write the output to a file with the filename that the user chose to name the output file (e.g., output.txt). Don't hard-code the output file name in your program.

Creating the Input File

To create the input file, while in NetBeans with your project open, first click to highlight the top-level folder of your project, which should be called WeightedAvgDataAnalyzer.

Then from the File menu do this:

File->New File Keep the Project name at the top; keep Filter blank Categories choose Other (at the bottom of the categories list) File Types choose Empty File (at the bottom of the files list) Next-> FileName: data.txt Folder: this should be blank; if it's not, delete whatever's there. Finish

In the empty file data.txt that you just created, add a single line of data like that shown in the example above, where the weight is a double (greater than 0.0 and less than or equal to 1.0) and the other numbers are the number, n, of lowest values to drop and then the numbers to be averaged after dropping the lowest n values.

Notes

This assignment builds off of an example in Horstmann (called DataAnalyzer) which supplies you with some code for giving the user multiple opportunities for entering a correct file name. Some of the Horstmann code can be reused. This PA should use ArrayLists.

Create an input file called data.txt (see directions at the bottom of the PA description).

Even though you create a specific input file with a name, prompt the user for a filename. The file should contain a weight value (type double, between 0 and 1); the number of numbers to drop, and the numbers to be averaged after dropping.

Contents of an input file called data.txt might look something like:

0.5 2 10 70 90 80 20

In main use a while loop like the one used in the Horstman example which allows the user to re-enter the input file name (this allows for testing exceptions). Below, I have used the Horstmann loop structure. Modify the code to use ArrayLists instead of arrays. Instead of computing the sum in the Horstmann example, do a call to a method which is very similar to the one in the WeightedAvgDropSmallest PA. Also, prompt the user for an output file name. And, call another method to write the contents of the output file.

public static void main(String[] args) {

Scanner in = new Scanner(System.in);

boolean done = false;

while (!done) {

try {

System.out.print("Enter the input file name: ");

String fileName = in.next();

// Declare an ArrayList of type double on left side of

// assignment statement for readFile(fileName) call.

// readFile will fill the ArrayList with values from the input file.

// Call a method to calculate the weighted average and return it as type double

// to main, similar to code in WeightedAvgDropSmallest

// Print out the weighted average.

// Prompt user for an output file name and read it into a String variable.

// Call a method to write the file, pass three parameters:

// the file name, the ArrayList containing the values, the weighted average.

// The contents of the output file should look like (see below)

done = true;

// example catches

} catch (FileNotFoundException exception) {

System.out.println("File not found");

} catch (IOException exception) {

exception.printStackTrace();

}

}

}

Example contents of output file called out.txt (this can be all in one line):

The weighted average of the numbers is 40.0, when using the data 35.0, 45.0, 40.0,

where 0.5 is the weight used, and the average is computed after dropping the lowest 2 values.

Heres the example run using input file above called data.txt and output file called out.txt

run:

Enter the input file name: data.txt

weighted average = 40.0

Enter the output file name: out.txt

Writing to file

BUILD SUCCESSFUL (total time: 27 seconds)

The other methods:

You will be able to reuse some of the code in the Horstmann readFile method but in this case the method needs to return an ArrayList of type Double. The input file name is passed in as a parameter

For example the method header might look like below:

public static ArrayList readFile(String filename) throws IOException

Not too much can be reused from the Horstmann readData method. Instead, the method needs to return an ArrayList of type Double. Use a while loop with a condition hasNextDouble() to keep checking for the last value in the input file. Inside the while loop is your call to nextDouble() we have used this before. Notice in the header, the Scanner object declared in readFile method is passed in as a parameter (same as in Horstmann).

public static ArrayList readData(Scanner in) throws IOException

Example header for the method that actually calculates the weighted average. The filled ArrayList (with values from the input file) is passed as a parameter. The method returns the weighted average to main:

public static double calcWeightedAvg(ArrayList data)

Heres an example method header that writes to the outputfile. Notice the three parameters. There are difference approaches, I used the PrintWriter class and declared a new PrintWriter within the try condition (see below):

public static void WriteFile(String outfile, ArrayList data, double weightedAvg) throws FileNotFoundException {

try (PrintWriter outs = new PrintWriter(new FileOutputStream(outfile))) {

outs.printf("The weighted . . . .

// for loop that accesses the elements in the ArrayList called data

// . . .

}

}