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Assignment Content

1. Securing company data is not as simple as backing up to another hard drive. It is important to have backup tools, processes, and policies for both business continuity and disaster recovery plans.

   In the final section of your playbook, create a 3- to 4-page outline of backup policies for when the data center is inaccessible.

   Include the following in your outline:

   • A list of tools used for backup purposes
   • An explanation of the following:
   • Where employees should work from that day
   • How employees can get to their data
   • The communication methods about updates
   • A step-by-step guide to recover your databases and telecommunications
   • A step-by-step guide to recover and provide any additional company assets
   • A description of policies for backup media storage
   • A description of policies for encryption of backup data
   • Note: Numbered or bulleted steps/guidelines make the document easy to for others to follow under potential stressful situations. Paragraphs can be used to help support the steps/guidelines.

     Cite at least two resources within the assignment in APA format.

 Welcome to the newsroom! You’ve just accepted a data visualization position for a major metro paper. You’re tasked with analyzing the current trends shaping people’s lives, as well as creating charts, graphs, and interactive elements to help readers understand your findings.

The editor wants to run a series of feature stories about the health risks facing particular demographics. She’s counting on you to sniff out the first story idea by sifting through information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

The data set included with the assignment is based on 2014 ACS 1-year estimates: https://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml, but you are free to investigate a different data set. The current data set incldes data on rates of income, obesity, poverty, etc. by state. MOE stands for “margin of error.”

 This homeworks utilizes both html and Javascript so be sure to add all the necessary files. These will be the main files to run for analysis. 

You need to create a scatter plot between two of the data variables such as Healthcare vs. Poverty or Smokers vs. Age.

Using the D3 techniques we taught you in class, create a scatter plot that represents each state with circle elements. You’ll code this graphic in the app.js file of your homework directory—make sure you pull in the data from data.csv by using the d3.csv function. Your scatter plot should ultimately appear like the image at the top of this section.

• Include state abbreviations in the circles.
• Create and situate your axes and labels to the left and bottom of the chart.
• Note: You’ll need to use python -m http.server to run the visualization. This will host the page at localhost:8000 in your web browser.

Bonus: Impress the Boss (Optional Assignment)

Why make a static graphic when D3 lets you interact with your data?

1. More Data, More Dynamics

You’re going to include more demographics and more risk factors. Place additional labels in your scatter plot and give them click events so that your users can decide which data to display. Animate the transitions for your circles’ locations as well as the range of your axes. Do this for two risk factors for each axis. Or, for an extreme challenge, create three for each axis.

• Hint: Try binding all of the CSV data to your circles. This will let you easily determine their x or y values when you click the labels.

2. Incorporate d3-tip

While the ticks on the axes allow us to infer approximate values for each circle, it’s impossible to determine the true value without adding another layer of data. Enter tooltips: developers can implement these in their D3 graphics to reveal a specific element’s data when the user hovers their cursor over the element. Add tooltips to your circles and display each tooltip with the data that the user has selected. Use the d3-tip.js plugin developed by Justin Palmer—we’ve already included this plugin in your assignment directory.

• Check out David Gotz’s example to see how you should implement tooltips with d3-tip.

Assessment

Your final product will be assessed on the following metrics:

• Creation of a new repository on GitHub called D3-Challenge (note the kebab-case). Do not add to an already existing repo.
• Completion of all steps in the core assignment
• Coherency of scatter plot (labels, ticks)
• Visual attraction
• Professionalism

As an avid user of online social media, you identify a very untrue blog written by an anonymous writer. The blog contains many horrible accusations that are unfounded and untrue. After identifying this blog, you feel violated and confused. What steps can you take to have the blog removed? What defamation charges can be filed against the creator of the blog? 

Three Required Headers:

Blog Scenario

Procedure

Defamation Charges 

Scenario

Always Fresh is expanding. The company is adding another application server and several workstations. As the IT infrastructure grows, it becomes more difficult to manage the added computers and devices.

Consider the Windows servers and workstations in each of the domains of a typical IT infrastructure. Based on your understanding of Group Policy, determine possible Group Policy Objects that will make it easier to manage groups of computers. Focus on common aspects of groups of computers, such as permissions for workstations or printers defined for use by groups of users.

Tasks

Recommend Group Policy Objects for the Always Fresh environment in a summary report to management. You must defend your choices with valid rationale.

Elaborate on how the knowledge and skills of Data Mining could be helpful in Real Life Work Environment. 

Requirement:

It should have at least 500 words (or 2 pages double spaced excluding references) in APA Format with Proper Citations.

It should include the Plagiarism report. 

Echo Input from the Console to the Screen

Review the resources and instructions in the Discussion Prep Study before completing this discussion.

To prepare for this discussion, you practiced echoing the value read from the console to the screen. Create a Java program that reads in any value entered at the console and then prints it out to the screen.

• Provide a screenshot of your result of your work. Your screenshot should look like the example in the “Echo Input Results” resource.
• Explain, briefly, how you completed this exercise, the algorithm you used (via pseudo code or other description tools), the major issues you faced, and how you solved them.
• Reflect on your experience and what you learned.

 Echo Input Result. 

Practice 

 Discuss the major issues in classification model overfitting. Give some examples to illustrate your points. 

•  QUALITATIVE Journal
     You will review both quantitative and qualitative research.  The topic is up to you as long as you choose a peer-reviewed, academic research  piece.  I suggest choosing a topic that is at least in the same family  as your expected dissertation topic so that you can start viewing what  is out there.  There are no hard word counts or page requirements as  long as you cover the basic guidelines.  You must submit original work,  however,  and a paper that returns as a large percentage of copy/paste  to other sources will not be accepted.  (Safe Assign will be used to  track/monitor your submission for plagiarism. Submissions with a Safe  Assign match of more than 25% will not be accepted.) 

  Please use APA formatting and include the following information:
   

• Introduction/Background:  Provide  context for the research article.  What led the author(s) to write the  piece? What key concepts were explored? Were there weaknesses in prior  research that led the author to the current hypothesis or research  question?
• Methodology:  Describe  how the data was gathered and analyzed.  What research questions or  hypotheses were the researcher trying to explore? What statistical  analysis was used?
• Study Findings and Results:  What were the major findings from the study? Were there any limitations?
• Conclusions:  Evaluate  the article in terms of significance, research methods, readability and  the implications of the results.  Does the piece lead into further  study? Are there different methods you would have chosen based on what  you read? What are the strengths and weaknesses of the article in terms  of statistical analysis and application? (This is where a large part of  the rubric is covered.) 
• References 

  QUANTITATIVE Journal Article Review – SUBMIT HERE
     You will review both quantitative and qualitative research.  The topic is up to you as long as you choose a peer-reviewed, academic research  piece.  I suggest choosing a topic that is at least in the same family  as your expected dissertation topic so that you can start viewing what  is out there.  There are no hard word counts or page requirements as  long as you cover the basic guidelines.  You must submit original work,  however,  and a paper that returns as a large percentage of copy/paste  to other sources will not be accepted.  (Safe Assign will be used to  track/monitor your submission for plagiarism. Submissions with a Safe  Assign match of more than 25% will not be accepted.) 

  Please use APA formatting and include the following information:
   

• Introduction/Background:  Provide  context for the research article.  What led the author(s) to write the  piece? What key concepts were explored? Were there weaknesses in prior  research that led the author to the current hypothesis or research  question?
• Methodology:  Describe  how the data was gathered and analyzed.  What research questions or  hypotheses were the researcher trying to explore? What statistical  analysis was used?
• Study Findings and Results:  What were the major findings from the study? Were there any limitations?
• Conclusions:  Evaluate  the article in terms of significance, research methods, readability and  the implications of the results.  Does the piece lead into further  study? Are there different methods you would have chosen based on what  you read? What are the strengths and weaknesses of the article in terms  of statistical analysis and application? (This is where a large part of  the rubric is covered.) 
• References