All posts by : chebby

hello

 please Review  the submitted projects and comment on it (e.g., identify what you learned, note your disagreements with the project and/or provide supplemental information) . more than 150 words

* This assignment will be saved to your Tableau Public account rather than GitHub. 

* If you haven’t already, be sure to create a Tableau Public account [here](https://public.tableau.com/s/).

* The free tier of Tableau only lets you save to their public server. This means that each time you save your file it will be uploaded to your Tableau Public profile. 

* You are able to load and continue working on the same workbook.

* When you are finished with your assignment, you will turn in the URL to your Tableau Public workbook along with any additional files used for your analysis. 

## Background


Congratulations on your new job! As the new lead analyst for the [New York Citi Bike](https://en.wikipedia.org/wiki/Citi_Bike) Program, you are now responsible for overseeing the largest bike sharing program in the United States. In your new role, you will be expected to generate regular reports for city officials looking to publicize and improve the city program.

Since 2013, the Citi Bike Program has implemented a robust infrastructure for collecting data on the program’s utilization. Through the team’s efforts, each month bike data is collected, organized, and made public on the [Citi Bike Data](https://www.citibikenyc.com/system-data) webpage.

However, while the data has been regularly updated, the team has yet to implement a dashboard or sophisticated reporting process. City officials have a number of questions on the program, so your first task on the job is to build a set of data reports to provide the answers.

## Task

**Your task in this assignment is to aggregate the data found in the Citi Bike Trip History Logs and find two unexpected phenomena.** 

**Design 2-5 visualizations for each discovered phenomena (4-10 total). You may work with a timespan of your choosing. Optionally, you may merge multiple datasets from different periods.** 

**The following are some questions you may wish to tackle. Do not limit yourself to these questions; they are suggestions for a starting point. Be creative!**

* How many trips have been recorded total during the chosen period?

* By what percentage has total ridership grown?

* How has the proportion of short-term customers and annual subscribers changed?

* What are the peak hours in which bikes are used during summer months?

* What are the peak hours in which bikes are used during winter months?

* Today, what are the top 10 stations in the city for starting a journey? (Based on data, why do you hypothesize these are the top locations?)

* Today, what are the top 10 stations in the city for ending a journey? (Based on data, why?)

* Today, what are the bottom 10 stations in the city for starting a journey? (Based on data, why?)

* Today, what are the bottom 10 stations in the city for ending a journey (Based on data, why?)

* Today, what is the gender breakdown of active participants (Male v. Female)?

* How effective has gender outreach been in increasing female ridership over the timespan?

* How does the average trip duration change by age?

* What is the average distance in miles that a bike is ridden?

* Which bikes (by ID) are most likely due for repair or inspection in the timespan?

* How variable is the utilization by bike ID?

**Next, as a chronic over-achiever:**

* Use your visualizations (does not have to be all of them) to design a dashboard for each phenomena.

* The dashboards should be accompanied with an analysis explaining why the phenomena may be occuring. 

**City officials would also like to see one of the following visualizations:**

* **Basic:** A static map that plots all bike stations with a visual indication of the most popular locations to start and end a journey with zip code data overlaid on top.

* **Advanced:** A dynamic map that shows how each station’s popularity changes over time (by month and year). Again, with zip code data overlaid on the map.

* The map you choose should also be accompanied by a write-up unveiling any trends that were noticed during your analysis.

**Finally, create your final presentation**

* Create a Tableau story that brings together the visualizations, requested maps, and dashboards.

* This is what will be presented to the officials, so be sure to make it professional, logical, and visually appealing. 

## Considerations

Remember, the people reading your analysis will **NOT** be data analysts. Your audience will be city officials, public administrators, and heads of New York City departments. Your data and analysis needs to be presented in a way that is focused, concise, easy-to-understand, and visually compelling. Your visualizations should be colorful enough to be included in press releases, and your analysis should be thoughtful enough for dictating programmatic changes. 

## Submission 

Your final submission should include:

* A link to your Tableau Public workbook that includes: 

  * 4-10 Total “Phenomenon” Visualizations 

  * 2 Dashboards

  * 1 City Official Map

  * 1 Story 

* A text or markdown file with your analysis on the phenomenons you uncovered from the data.

## Sharing Your Work

In order to share your work, we are asking that you will save your workbook as a .twbx file so that your TA’s can grade them.

To save your workbook as a .twbx file, you will just need to select “Save As…” from the “File” dropdown. Then, select the .twbx option.

## Assessment

Your final product will be assessed on the following metrics:

* Analytic Rigor

* Readability

* Visual Attraction

## Hints

* You may need to get creative in how you combine each of the CSV files. Don’t just assume Tableau is the right tool for the job. At this point, you have a wealth of technical skills and research abilities. Dig for an approach that works and just go with it.

* Don’t just assume the CSV format hasn’t changed since 2013. Subtle changes to the formats in any of your columns can blockade your analysis. Ensure your data is consistent and clean throughout your analysis. (Hint: Start and End Time change at some point in the history logs).

* Consider building your visualizations with small extracts of the data (i.e. single files) before attempting to import the whole thing. What you will find is that importing all 20+ million records of data will create performance issues quickly. Welcome to “Big Data.”

* While utilizing all of the data may seem like a nice power play, consider the time-course in making your analysis. Is data from 2013 the most relevant for making bike replacement decisions today? Probably not. Don’t let overwhelming data fool you. Ground your analysis in common sense.

* Remember, data alone doesn’t “answer” anything. You will need to accompany your data visualizations with clear and directed answers and analysis.

* As is often the case, your clients are asking for a LOT of answers. Be considerate about their need-to-know and the importance of not “cramming in everything”. Of course, answer each question, but do so in a way that is organized and presentable.

* Since this is a project for the city, spend the appropriate time thinking through decisions on color schemes, fonts, and visual story-telling. The Citi Bike program has a clear visual footprint. As a suggestion, look for ways to have your data visualizations match their aesthetic tones.

* Pay attention to labels. What exactly is “time duration”? What’s the value of “age of birth”? You will almost certainly need calculated fields to get what you need.

* Keep a close eye for obvious outliers or false data. Not everyone who signs up for the program is answering honestly.

* In answering the question of “why” a phenomenon is occurring, consider adding other pieces of information on socioeconomic or other geographic data. Tableau has a map “layer” feature that you may find handy.

* Don’t be afraid to manipulate your data and play with settings in Tableau. Tableau is meant to be explored. We haven’t covered all that you need — so you will need to keep an eye out for new tricks.

* Treat this as a serious endeavor! This is an opportunity to show future employers that you have what it takes to be a top-notch analyst. 

* Good luck!

Write a 6-8 page paper (deliverable length does not include the title and reference pages)

• What are benefits and challenges of Agile Project Management?
• How can Agile Project Management be used in other domains?
• Will Agile Project Management require a different process to keep up with the industry of tomorrow?

Due: Assignment is due on the date stated in the class schedule.

• Provide three articles to substantiate the above three questions.
• Use APA format to provide a citation for each of the articles you read.
• Suggestion: Use a search engine (Google) and keywords

Check Attachment!!

APA format

Strictly plagarism free

Attached two text books, assignments are from two different text books.

Assignment 1 ( 1 page)

Discussion: This week we discuss the overall process of developing new software.  Please also note the differences between software development and methods.

Assignment 2 (1 page)

Chapter 9 –  complete Exercise 3 (Information Systems for Business and Beyond)
Chapter 10 – complete Exercise 1 (Information Systems for Business and Beyond)

The above assignments should be one page submitted in a single Word document.

Assignment 3 (2 pages)

Chapter 7 – Review the section on dealing with multiple locations and outsourcing. Review figure 7.2 and note how virtual team communications further reiterates the importance of this model. (Information Technology and Organizational Learning)

Chapter 8 – Review the Siemens AG case study. Note the importance of understanding the interrelationships amongst all the senior leaders at every location. Pay special attention to Figure 8.1 and Figure 8.2. Note how the corporate CIO should engage with each of the regional leaders. Why is this important? (Information Technology and Organizational Learning)

Need answer in APA Format. Without plagiarism 

 Internet Programming Term Project – Online Banking I. Introduction This project let you apply the programming skills you learned in Internet Programming class by developing an application for online banking using ASP.NET MVC Core with C# language. You will build a website which serves as an online service website, where one can register as a customer. Once registered, a customer can log in and log out the website. Customers can update their profile/personal information, review deposit/withdraw history, check balance, pay bills. Particularly, in the bill pay section, the customers can add/update payee information, pay one or more payees, and review payment history. Another role of the website is a teller. A teller can see the information of all the customers, can perform deposit/withdraw operation, can close customer accounts. II. Requirements 1. There are two roles in this website – customers and tellers. 2. A teller can see all customers’ information. 3. A teller can withdraw and deposit money for a customer. This is just a simulation of the operation that a teller performs at the bank counter when collecting and/or disseminate cash/check from a customer. 4. The website is free. Anyone can register as a customer. Upon registration, the customer information is collected and saved in the database; an id is assigned to the customer. 5. Registered customers can log in and log out the website. The only pages an unregistered person can access is the home page and registration page. 6. A customer can update his/her personal information on the website. 7. On the bill pay page, a customer can add new payee or update existing payee. One customer can have multiple payees. 8. A customer can pick one or multiple payees to pay. When payment is submitted, you only need to save the payment information in the database. A customer can review payment history which can be sorted and filtered by a date range. 9. You need to design a simple database. Three tables are required in the DB:  Customer –information of the registered customer  Payee — each customer can have a saved list of payees with all information necessary to send the payment  PaymentHistory – stores the payment history of all customers You can also add additional tables that you think are needed.  10. You will not only be graded by the correctness, but also by the quality of code. I expect your code to be clear and follow good programming practice. 11. When designing and building the website, keep security and user friendliness in mind! 12. You can work alone or in a team of 4 students maximum. 13. Bonus points will be given to projects with an additional role – manager. If you implemented this feature, make sure to describe it in your video demo and project report. Maximum 10 bonus points. III. Deliverables 1. Project Reports – You need to write a project report, where you need to:  Provide introduction of the project  Show screenshots of the pages you built  Explain how each page work, and how are the pages connected  What skills you learned from class are used in your project  If this is a teamwork, only one report is needed for the team. The report needs to have all team members’ names and clarify each team member’s contribution to the project. 2. Presentation – At the end of the semester, you will prepare a demo video using screen recording software such as “screen cast o matic”, “screencastify”, or zoom (meeting recording functionality). In the video, present your project by briefly going through the code structure and a demo of the website. 3. Code – Zip all the source code into one zip folder.  

 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.)Figure 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).Figure 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.

This application assignment involves investigating two recent cybersecurity topics/events covered on the website KrebsOnSecurity.com.  KrebsOnSecurity.com presents the latest news and investigative reports on cybersecurity. This site is managed by Mr. Brian Krebs, who worked as a reporter for The Washington Post from 1995 to 2009 authoring over 1,000 blog posts for the Security Fix blog and well over 200 articles for The Washington Post newspaper and washingtonpost.com. 

Select two articles from the Website–one that details an information security concern and one that explains a new cybersecurity skill or knowledge.  The articles must have been published in the last six months.  For each of the two articles, you will then go find another article on the same topic from outside the KrebsOnSecurity.com site.  Referencing both articles (e.g., the one from Krebs and the one from somewhere else), your job is to provide a summary of the topic–largely in your own words–explaining how you as a cybersecurity professional would use/apply the information.  Limit your writeups to no more than one page for each of the two topics.  When complete, submit your two writeups as a single Word document via the submission functionality.

To summarize, this assignment involves identifying two articles from KrebsOnSecurity.com–one related to an information security concern and one related to a new security skill or knowledge base.  For each of the two articles, find one other article about the topic from somewhere else, providing you with two perspectives on the same topic.  Then, for each of the two topics you identified, write up a one page summary that incorporates information from both articles (the Krebs one and the non-Krebs one) you found.  Submit the separate writeups via a single, two-page document that clearly delineates between the two different writeups.  

 Select from the following list four (4) topics and discuss. Use only 50-words max per topic to discuss and present your answer.  The discussion questions this week are from Chapter’s 19-20  (Jamsa, 2013).

Chapter 19 topics:

• Define scalability.
• List five to ten potential relationships that align with the Pareto principle, such as how 80 percent of sales come from 20 percent of customers.
• Compare and contrast vertical and horizontal scaling.
• Explain the importance of the database read/write ratio.
• Assume a site guarantees 99.99 percent uptime. How many minutes per year can the site be down?

Chapter 20 topics:

• List and describe five ways you think the cloud will change the future of TV.
• List and describe five potential uses for intelligent fabric.
• List and describe five ways the cloud will influence the mobile application market, or vice versa.
• Discuss the importance of HTML 5.
• Discuss how the cloud will impact future operating systems.
• List and describe three potential location-aware applications.
• List and describe five ways intelligent devices may work together.