Category: Data Analysis

Visualizing Data

Posted on | by Brian Leakey

Communicating information learned from data is often most effectively done by creating visual representations of the findings. In this assignment, you will create bars and graphs based on public health data.

The objective of this assignment is to help you learn and reinforce this crucial skill set used in data analysis.

Include the following:

Locate datasets available from the CDC, NIH, or another public source.
Use Microsoft Excel® to create bar charts and side-by-side bar graphs of your datasets.
With your charts and graphs, provide a brief explanation of your analysis and any tips you can share about your process for creating the visualizations that your classmates can benefit from.

Binary data

Posted on | by Brian Leakey

QUESTION 1:

Your computer received the following digital, binary signal sequence. Now, your computer should cover the binary data to the text so you would read it on your computer screen. Assume, the received binary code was generated based on ASCII.

Received binary data:

01001001 01010100 00110101 00110000 00110101 00100000 01010111 01101001 01101110 01110100 01100101 01110010 00100000 00110010 00110000 00110010 00110011 00100000 01010111 01010101 01010011 01010100 00100000

You should write the text that will appear on your computer screen. Simply convert the binary data to text.

HNIT: Do your web search and find (Binary to Text Translator) to convert the binary to back to text.

QUESTION 2:

The user would like to save the incoming binary that you decoded in question 1. Therefore, the user would like to make sure there is enough memory space in his/her computer. What would be the minimum memory space (in Bytes) required to save the incoming data?

QUESTION 3:

Develop the Manchester Code for the first character of the digital data stream in question 1. You should develop Manchester Code for 01001001

Your name must be on the digital signal code diagram

QUESTION 4:

In an airport, two computers in two different terminals will be in communication-based on the requirements below;

The user in terminal 1 and the receiver terminal 2 can operate on different clock frequencies.

The speed of the communication is not a concern; however, the quality of the communication is important.

The terminals are more than 100 meters apart. There is a heavy external electrical noise which would impact and disrupt the communication and cause miscommunication (corrupted message) between terminals

4a)

What would be your preferred data transmission technique? Synchronous or Asynchronous transmission. Explain your answer

4b)

What kind of Error Detection method you would use to make sure you will detect most of the communication errors? Explain your answer

QUESTION 5:

There are three given different communication cases. Where a user would like to access a database.

CASE 5-1: The user computer is on a transatlantic cruise ship and the receiver (the database) is in NYC.

a) What type of communication (digital or analog) would you use between given to communication points?
b) If it is digital then write the cable type you would use, if it is analog then write the wireless communication type you would use.
CASE 5-2: The computers are in different cities. The user computer is in Los Angeles and the receiver (the database) is in NYC. This has to be a fast and secure communication

a) What type of communication (digital or analog) would you use between given to communication points?
b) If it is digital then write the cable type you would use, if it is analog then write the wireless communication type you would use.
CASE 5-3: Both computers are in the same building. The user computer is on the second floor and the database is on the third floor.

a) What type of communication (digital or analog) would you use between given to communication points?
b) If it is digital then write the cable type you would use, if it is analog then write the wireless communication type you would use.

Quantitative Versus Qualitative Data

Posted on | by Brian Leakey

When it is time to analyze data, the first issue that has to be decided upon is
whether or not the data is numerical (quantitative) or non-numerical
(qualitative). Consider the types of data you discussed in u02d1 (structured,
semi-structured, quasi-structured, unstructured). Classify the data you
examined as either quantitative or qualitative. Identify at least one type of
data that may be qualitative in its raw form and explain how it could be
transformed to numerical form so that it could be made quantitative.

Analysis And Visualization Data

Posted on | by Brian Leakey

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?
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?
What about the various annotations that could be used? Thoroughly explain all of the annotations, color, composition, and other various components to the visualization.
What other data considerations should be considered and why?
Update the graphic using updated data, in the tool of your choice (that we’ve used in the course), and explain the differences.

“Ethics & Big Data”

Posted on | by Brian Leakey

You are the project manager for a team of software developers working for a health insurance company. Your team has been asked to develop a new algorithm for insurance claim reviews that will utilize a chatbot function to produce written explanations for any denial of the claim, similar to what a doctor would write under similar circumstances. The design specs include the request to simulate human expression so as to reduce the likelihood of future regulatory oversight of the company’s claims decision practices.
For a fuller picture of the use of algorithms in health insurance claims, read: https://www.propublica.org/article/cigna-pxdx-medical-health-insurance-rejection-claims
Links to an external site.

Using the ethical framework(s) assigned below discuss:
● What concerns and whose concerns are prioritized for your framework?
● What is your proposed action to take regarding the new job?
● What are the competing values that might need to be resolved to determine your response?
● Is there a clear “right” answer for what you should do given your assigned framework?
For your ethical framework, here are the assignments:
● Use Social Contract ethics

Database

Posted on | by Brian Leakey

Identify at least two relationship strength types that can be used within the entity-relationship model.

· Provide a real-world scenario that demonstrates each relationship strength classification, using the classifications.