Tag: Programming

I recently have an android app developing, please help me improve the UI to a good design. Like changing the color, improve the layout, words and buttom style, etc. I prefer simple interface design not complex, colorful design. I hope you good at android studio and java, please use java sdk 11.

I don’t understand this Java question and need help to study.

You are working as a software developer for a large insurance company. Your company is planning to migrate the existing systems from Visual Basic to Java and this will require new calculations. You will be creating a program that calculates the insurance payment category based on the BMI score.

Your Java program should perform the following things:

1. Take the input from the user about the patient name, weight, birthdate, and height.
2. Calculate Body Mass Index.
3. Display person name and BMI Category.
4. If the BMI Score is less than 18.5, then underweight.
5. If the BMI Score is between 18.5-24.9, then Normal.
6. If the BMI score is between 25 to 29.9, then Overweight.
7. If the BMI score is greater than 29.9, then Obesity.
8. Calculate Insurance Payment Category based on BMI Category.
9. If underweight, then insurance payment category is low.
10. If Normal weight, then insurance payment category is low.
11. If Overweight, then insurance payment category is high.
12. If Obesity, then insurance payment category is highest.

You need to display the patient name, BMI Category and Insurance Payment Category.

I’m trying to study for my Java course and I need some help to understand this question.

You are working as the software developer and need to solve the problem using the inheritance concept. Your goal is to create the method to sort the numbers and then perform the addition. Here are the steps that need to be completed.

Step 1: Create the base class that has the sorting method. The sorting method should take the input parameter as the array and print the sorted array.

Step 2: Create the child class that inherits all the methods from the above base class. The child class has the addnumber method that adds all the numbers from an array. The addnumber method first calls the base class sorting method to sort all the array numbers. Once the numbers in the array are sorted, then addnumber method adds all of them.

Your submission should include the following:

• Base Class
• Child Class
• Entire Java Solution
• Output screenshot created in Microsoft Word

I need to create functions for the attached excel as per the following

1. Status : Find and highlight columns that contain the same number and the Date +/- 2 days Result correct other wise wrong
2. Size: Find and highlight columns contain the same number and the Date +/- 2 days, and same Size, result is correct, if Size is different Result wrong Size
3. Agent : Find and highlight columns contain with the same number and the Date +/- 2 days, and same Agent, result is correct , if Agent is different Result wrong Agent

You can use any kind of function!

provides practice with applying the ERD
notation to narrative problem descriptions. You should use the ER
Assistant to complete assignment 6. Copy and paste each ERD
into a Word document. Label the problems in your Word document so that
the grader can easily match your diagrams to the specified problems.

I’m working on a r exercise and need support to help me understand better.

Select any example visualization or infographic and imagine the contextual factors have changed:If the selected project was a static work, what ideas do you have for potentially making it usefully interactive? How might you approach the design if it had to work on both mobile/tablet and desktop?

1. If the selected project was an interactive work, what ideas do you have for potentially deploying the same project as a static work? What compromises might you have to make in terms of the interactive features that wouldn’t now be viable?
2. What about the various annotations that could be used? Thoroughly explain all of the annotations, color, composition, and other various components to the visualization.
3. What other data considerations should be considered and why?
4. Update the graphic using updated data, in the tool of your choice (that we’ve used in the course), explain the differences.

I’m working on a r question and need an explanation to help me understand better.

Applying all the code on your selected dataset, https://www.kaggle.com/sogun3/uspollution

Part 1

complete all codes from Chapter 7
Time-dependent graphs. Make sure you submit to this link two things
1. Your report file showing screenshots of all commands from Rstudio GUI
Make sure you show all Rstudio GUIs
2. Submit your R script code Quiz7
Applying all the code on your selected dataset, complete all codes from (provide screenshot as well)

Chapter
8 Statistical Models. Make sure you submit to this link two things
1. Your report file showing screenshots of all commands from Rstudio GUI
Make sure you show all Rstudio GUIs
2. Submit your R script code

Part 2

1. There must be a thorough data plan this includes: PowerPoint presentation
   1. Where the data is online
   2. How you know the data is accurate and the plan for ensuring accuracy.
   3. An import of the data into the selected tool.
2. A paper that includes:
   1. The data plan mentioned above
   2. The problem- note the description and why it’s a problem and how you are going to make a recommendation with the data presented.
   3. The analysis of why the data will solve the issue.
   4. Graphical representation and formulas. The screenshots of the formulas in the tool must be present.
   5. A summary of the consideration and evaluation of results
      1. This includes your final analysis of the problem and the resolution.

Read the chapter 2, and 5 to answers these questions.

Chapter 2 Problems: 2, 5, 6, 10

2) Describe the difference in roles assumed by the validation partition and the test partition.

5) Using the concept of overfitting, explain why when a model is fit to training data, zero error with those data is not necessarily good.

6) In fitting a model to classify prospects as purchasers or nonpurchasers, a certain company drew the training data from internal data that include demographic and purchase information. Future data to be classified will be lists purchased from other sources, with demographic (but not purchase) data included. It was found that “refund issued” was a useful predictor in the training data. Why is this not an appropriate variable to include in the model?

10) Two models are applied to a dataset that has been partitioned. Model A is considerably more accurate than model B on the training data, but slightly less accurate than model B on the validation data. Which model are you more likely to consider for final deployment?

Chapter 5 Problems: 1, 2, 5, 7

1) A data mining routine has been applied to a transaction dataset and has classified 88 records as fraudulent (30 correctly so) and 952 as non-fraudulent (920 correctly so). Construct the confusion matrix and calculate the overall error rate.

2) Suppose that this routine has an adjustable cutoff (threshold) mechanism by which you can alter the proportion of records classified as fraudulent. Describe how moving the cutoff up or down would affect
a. the classification error rate for records that are truly fraudulent
b. the classification error rate for records that are truly nonfraudulent

5) A large number of insurance records are to be examined to develop a model for predicting fraudulent claims. Of the claims in the historical database, 1% were judged 148 EVALUATING PREDICTIVE PERFORMANCE to be fraudulent. A sample is taken to develop a model, and oversampling is used to provide a balanced sample in light of the very low response rate. When applied to this sample (n = 800), the model ends up correctly classifying 310 frauds, and 270 nonfrauds. It missed 90 frauds, and classified 130 records incorrectly as frauds when they were not.
a. Produce the confusion matrix for the sample as it stands.
b. Find the adjusted misclassification rate (adjusting for the oversampling).
c. What percentage of new records would you expect to be classified as fraudulent?

7) Table 5.7 shows a small set of predictive model validation results for a classification model, with both actual values and propensities.
a. Calculate error rates, sensitivity, and specificity using cutoffs of 0.25, 0.5, and 0.75.
b. Create a decile-wise lift chart in R.

Do a time-frequency analysis acl8117.m049.wav and alk7175.m049.wav. You need to present the periodogram of the two sound files. X-axis should be time in seconds and Y-axis should be frequency in Hz (put the appropriate labels on your plots). Discuss the similarity and differences of the two sound files.

Note: There is an solution on the website, please do not refer to that.