Analyzing & Visualizing Data – Week8

User Generated

Znanfn21

Computer Science

Cumberland University

Description

Analyzing & Visualizing Data – Week8

Discussion:

When thinking about data visualization, it is important to understand regular expressions in data analytics.  Therefore, note the importance of data visualizations and choose two types of expressions (* - wildcards for example) and discuss the difference between the two types of expressions.

Instructions: Your response to the initial question should be 250-300 words. Next respond to two postings provided by your classmates. There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post as needed. Do not use direct quotes, rather rephrase the author's words and continue to use in-text citations.

Please ensure the initial post and two response posts are substantive, not the same for both classmates, and have enough details to show us that you read the posting and have original feedback to offer. Substantive posts will do at least TWO of the following: Ask an interesting, thoughtful question pertaining to the topic Expand on the topic, by adding additional thoughtful information Answer the question posted by another student in detail, and I say again (IN DETAIL). A simple two-line response will not earn you credit for your reply, and I will deduct points accordingly.

Should      return Main Discussion Content in 15hrs.

once I      receive the main discussion content then I will post the peer discussion      in chat

peer      response should be returned in next 10hrs

MidTerm:

Review the attached file. Suzie has an issue. She can either move to NY or FL and needs to review some data that her agent gave her. The agent reviewed house prices and crime ratings for houses that Suzie would be interested in based on her selection criteria.  She wants to live in an area with lower crime but wants to know a few things:

Is it more expensive or less      expensive to live in FL or NY?

  • Is the crime rate higher in FL      or NY (Note a low score in crime means lower crime)?

Is the crime rate higher in      lower or higher house price areas?

  • Using the R tool, show the data in the tool to answer each of the questions.  Also, show the data visualization to go along with the summary.

If you were Suzie, where would      you move based on the questions above?

  • After you gave Suzie the answer      above (to #4), she gave you some additional information that you need to      consider:

She has $100,000 to put down       for the house.

If she moves to NY she will       have a job earning $120,000 per year.

If she moves to FL she will       have a job earning $75,000 per year.

She wants to know the       following:

On average what location will        she be able to pay off her house first based on average housing prices        and income she will receive?

Where should she move and        why?  Please show graphics and thoroughly explain your answer here        based on the new information provided above.

Unformatted Attachment Preview

Location NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY NY FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL FL Price Crime Rating 225,250 315542 450265 750250 554668 322124 411258 355412 466251 701251 241315 345215 198562 188752 741245 642315 423561 521446 245685 245543 120321 152015 214521 235213 263531 258964 325645 325641 324512 245120 245784 265124 352156 359521 398541 401213 402315 256012 314021 159632 201321 204201 205236 207205 206201 8 5 2 1 2 4 2 4 2 1 4 5 9 8 2 3 2 1 8 4 5 4 6 4 2 4 2 1 2 5 4 5 2 3 1 1 1 5 2 8 6 5 4 6 4 FL 198265 5
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Explanation & Answer:
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1

Data Visualization
Students First Name, Middle Initial(s), Last Name
Institution Affiliation
Course Number & Name
Instructors Name & title
Due date

2
Data Visualization
Week 8 Discussion
The process of putting data into a visual format, such as a graph or map, in order to
make it simpler to comprehend and draw conclusions from the data is referred to as data
visualization. The primary objective of data visualization is to simplify the process of
identifying patterns, trends, and outliers hidden within massive amounts of data. Data
visualization helps comprehension by delivering data in a visual way. This makes it simpler
for the brain to understand data in its natural form, which in turn makes it simpler to
recognize patterns in large data sets (Waskom, 2021).The ability to display enormous
amounts of data in a manner that is both understandable and logical, as is the case with
graphical representations, makes it simpler for us to comprehend the data, draw conclusions,
and create new discoveries. That way, we won't have to waste time trying to solve the
difficulties.
There are two different sorts of expressions, which are character expressions and
arithmetic expressions. The result of evaluating an arithmetic expression is a single number
that corresponds to the expression. A single, one-of-a-kind instance of a character type is
generated whenever a character expression is used. An expression is a formula in
mathematics that produces a number as its final product (Po, Et al, 2021). The two most
common varieties of numbers are floating point values and integers, which are also
sometimes referred to as "whole numbers." An expression that allows you to type in
characters is referred to as a character expression. It returns a character that is at least one
character in length.
Week 8 Mid Term

3
A-location
B- Price
C-Crime Rating

A

B

C

NY 2,25,250 8

NY 315542 5

NY 450265 2

NY 750250 1

NY 554668 2

NY 322124 4

NY 411258 2

NY 355412 4

NY 466251 2

NY 701251 1

4
NY 241315 4

NY 345215 5

NY 198562 9

NY 188752 8

NY 741245 2

NY 642315 3

NY 423561 2

NY 521446 1

NY 245685 8

NY 245543 4

FL 120321 5

FL 152015 4

FL 214521 6

5

FL 235213 4

FL 263531 2

FL 258964 4

FL 325645 2

FL 325641 1

FL 324512 2

FL 245120 5

FL 245784 4

FL 265124 5

FL 352156 2

FL 359521 3

FL 398541 1

6
FL 401213 1

FL 402315 1

FL 256012 5

FL 314021 2

FL 159632 8

FL 201321 6

FL 204201 5

FL 205236 4

FL 207205 6

FL 206201 4

FL 198265 5

The solution includes both the R Code Snippet and thorough comments on its use. An
example of the output code is as follows: R ...

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