discussion

After completion of the week 3 assignment, please briefly describe and explain your recommendations for the manager in the assignment.  What tool or tools did you recommend and why?  In order to receive full credit, you must comment on two other classmates posts.

HTML programming

  

The purpose of this assignment is to get some experience using HTML web editors. There are many commercial and free options to choose from. If you have access to programs such as Adobe Dreamweaver or Microsoft Expression Web feel free to utilize them. There are several free open source web editors such as Kompozer, Amaya, and Bluefish.

Here is a page link from Wikipedia showing a comparison of Web HTML Editors. This might be a good place to start when making your choice of software. Copy the URL below to your browser.

http://en.wikipedia.org/wiki/Comparison_of_HTML_editors

Assignment

Your assignment is to download (if necesary) and experiment with two different Web HTML Editors. Search YouTube for any available tutorials on how to use the software. For each editor, create a page with a table, image, lists, and cascading style sheet. Include the name of the editor in the comments in the HTML file. Feel free to also include any other features you find interesting. Create a short write up containing information about your reaction to using each program. Did you like it? What features did you like? What features did you not like or felt could have been better? If you prefer, you can include this information inside the pages (display it when the file is opened with a browser) that you create using the programs. Do this process for two different HTML Web Editor programs. Do not submit the exact same code for each editor. The HTML file for each editor must be different. Submit the pages you created along with the write ups (If separate documents) to the correct submission box. 

java interview question

 

1. Describe the key architecture points in a high capacity enterprise solution processing over 100/000 TPS?

 2. What are the key breakage points in the architecture? How would you improve upon them?

Python Homework

After running the code I upload, write a code using numpy and panda to sort the stock data by date(month) in recent five years.

Images

Excel 2019 In Practice – Ch 9 Independent Project 9-5

 These instructions are compatible with both Microsoft Windows and Mac operating systems.

At Placer Hills Real Estate, commission is split with other agencies based on price groups. You create a one-variable data table to display results for various split rates. Additionally, you create scenarios for selling price and commission and create a histogram about sales.

[Student Learning Outcomes 9.1, 9.3, 9.4, 9.6]

File Needed: PlacerHills-09.xlsx (Available from the Start File link.)

Completed Project File Name: [your name]-PlacerHills-09.xlsx

Skills Covered in This Project

  • Build a one-variable data table.
  • Use Solver.
  • Create and manage scenarios.
  • Create a histogram with a chart.
  1. Open the PlacerHills-09 start file. The file will be renamed automatically to include your name. Change the project file name if directed to do so by your instructor
  2. Enable the content security warning.
  3. Review formulas.
    1. Select cell C14 on the Calculator worksheet. The total commission is calculated by multiplying the selling price by the commission rate.
    2. Select cell C15. The IFS function checks the selling price (C12) to determine the split percentage (column D) based on the price group.
    3. Select cell C16. The IFS function checks the selling price (C12) to determine the administrative fee percentage (column E) and multiplies that percentage by the value in cell C15 to calculate the fee in dollars.
    4. Select cell C17. The net commission is calculated by subtracting the fees from the PHRE amount.
  4. Build one-variable data tables.
    1. Select cell C20 and create a reference to cell C15.
    2. Select cell D20 and create a reference to cell C17. Both formulas depend on cell C12, the one variable.
    3. Use cell D8 as the column input for the data table (Figure 9-87). (You can use any percentage from column D because its value is replaced by the proposed rates in column B in the data table.)ImagesFigure 9-87 Data table setup for commission rates
    4. Decrease the decimal two times for all values in the data table.
  5. Name cell ranges.
    1. Click the Price Solver worksheet tab.
    2. Click cell C12 and name the range Selling_Price. You cannot use spaces in a range name.
    3. Name cell C14 as Total_Commission and cell C17 as PHRE_Commission.
  6. Install the Solver Add-in and the Analysis ToolPak.
  7. Use Solver to find target PHRE net commission amounts.
    1. Build a Solver problem with cell C17 as the objective cell. For the first solution, set the objective to a value of 50000 by changing cell C12. Use the GRG Nonlinear solving method. Save the results as a scenario named $50,000.
    2. Restore the original values and run another Solver problem to find a selling price for a PHRE commission of 75000. Save these results as a scenario named $75,000.
    3. Restore the original values and run a third Solver problem to find a selling price for a net commission of $100,000. Save these results as a scenario and restore the original values.
  8. Manage scenarios.
    1. Show the $50,000 scenario in the worksheet.
    2. Create a Scenario summary report for cells C12, C14, and C17.
  9. Create a histogram for recent sales.
    1. Click the Sales Forecast sheet tab and select cell G13.
    2. Create a bin range of 10 values starting at 350,000 with intervals of 50,000, ending at 800,000 in cell G22.
    3. Use the Analysis ToolPak to create a histogram for cells E5:E26. Do not check the Labels box and select the bin range in your worksheet.
    4. Select cell H3 for the Output Range and include a chart.
    5. Position and size the chart from cell K3 to cell V19.
    6. Edit the horizontal axis title to display Selling Price and edit the vertical axis title to Number of Sales.
    7. Edit the chart title to display Sales by Price Group.
    8. Select and delete the legend.
    9. Delete cells G13:G22 (Figure 9-88).ImagesFigure 9-88 Histogram and chart for sales data
  10. Save and close the workbook (Figure 9-89).
  11. Upload and save your project file.
  12. Submit project for grading.

assign

Answer the following questions. Please ensure to use the Author, YYYY APA citations with any content brought into the assignment.  

For sparse data, discuss why considering only the presence of non-zero values might give a more accurate view of the objects than considering the actual magnitudes of values. When would such an approach not be desirable?

Describe the change in the time complexity of K-means as the number of clusters to be found increases.

Discuss the advantages and disadvantages of treating clustering as an optimization problem. Among other factors, consider efficiency, non-determinism, and whether an optimization-based approach captures all types of clusterings that are of interest.

What is the time and space complexity of fuzzy c-means? Of SOM? How do these complexities compare to those of K-means?

Explain the difference between likelihood and probability.

Give an example of a set of clusters in which merging based on the closeness of clusters leads to a more natural set of clusters than merging based on the strength of connection (interconnectedness) of clusters.