Monthly Archives: June 2023

Please answer the questions under the case study in the attach.

Task 1:

 Kirk (2016) states that the topic of color can be a minefield.   The judgement involved with selecting the right amount of color for a particular application can be daunting. With regards to visualizations, there are different levers that can be adjusted to create the desired effects (Kirk, 2016). The levers are associated with the HSL (Hue, Saturation, Lightness) color cylinder. Select and elaborate on one of the following:

• Color Hue Spectrum
• Color Saturation Spectrum
• Color Lightness Spectrum

Analyze Data,

I have to do a project. My project has to be For example: Developing a UI and database, accessing the data from the database. While you develop the project please use the cloud tools like AWS or Azure. It should also include the Use Cases, User stories and diagrams if possible. I am attaching a document with similar requirements based on the various technologies. 

Note:

Whatever the project you are going to do, all you need to have is the AWS or Azure tools linked to the project. Because I need to present this project with cloud included in it.

I have a Midterm due by Sunday 11:59 PM EST. The midterm involves creating visualizations in R and writing a paper about the same. Need help in creating the visualizations and writing the paper. Please find the instructions below and data will be provided as requested

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

Research information about two current data mining projects being conducted.

• What are possible benefits that these projects offer?
• What are criticisms of the projects?
• What techniques could be implemented to improve on the criticisms?

Due: Check Course Schedule for due date.

• Provide three articles to substantiate the above three questions.
• Use APA format to provide a citation for each of the articles you read.

In this project you will investigate the impact of a number of automobile engine factors on the vehicle’s mpg. The dataset auto-mpg.csv contains information for 398 different automobile models. Information regarding the number of cylinders, displacement, horsepower, weight, acceleration, model year, origin, and car name as well as mpg are contained in the file. 

Perform some initial analysis and create visualizations using Tableau Public (reference will be available in week 9).

Create some visual plots and charts describing the data and information it is trying to give out.

Using the first 300 samples in the auto-mpg.csv, run a simple linear regression and multiple linear regression to determine the relationship between mpg and appropriate independent variable/(s).  Report all the appropriate information regarding your regression.

1) Multiple R-squared

2) Adjusted R-squared

3) Complete Linear Regression equation

Maintain a log of above values for all models.

For the remaining 98 samples in the dataset, use your best linear model(s) to predict each automobile’s mpg and report how your predictions compare to the car’s actual reported mpg.  

1) Residual Plot

2) Histogram.

As a part of submission, share the code and report explaining the research. You can submit your code by compiling the report on RStudio. Directions to save complete code on word / PDF file is as below.

RStudio -> File -> Knit Document / Compile Report -> Save as Word / PDF.

How to create an example web service in Android. For submission : 

1. Describe the main steps in installing the Android SDK at https://android-doc.github.io/sdk/installing/index.html

2. Describe in short the packages you added from the procedure shown at https://android-doc.github.io/sdk/installing/adding-packages.html

3. Go to (‘Creating an Android Project’) https://android-doc.github.io/training/basics/firstapp/creating-project.html and describe main ideas in less than 2 pages from the steps given to build example app:

a. create: https://android-doc.github.io/training/basics/firstapp/creating-project.html

b.run: https://android-doc.github.io/training/basics/firstapp/running-app.html

c. simple UI: https://android-doc.github.io/training/basics/firstapp/building-ui.html

d. activity examples: https://android-doc.github.io/training/basics/firstapp/starting-activity.html

4. Take the snapshot of the running app you created under 3, and submit the snapshot.

1. Discuss the general history of automation and robots
2. Discuss the applications of robots in various industries
3. Differentiate between industrial and consumer applications of robots

 When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.
All work must be original (not copied from any source). 

1. Find a peer-reviewed scholarly journal article discussing electronic innovation and the government. Complete a review of the article by writing a 2-3 page overview of the article. This will be a detailed summary of the journal article, including concepts discussed and findings. Additionally, find one other source (it does not have to be a peer-reviewed journal article) that substantiates the findings in the article you are reviewing. 
   You should use the UC library (https://www.ucumberlands.edu/library) and/or Google Scholar to find these types of articles (https://scholar.google.com/ )
   Once you find the article, you will read it and write a review of it.  This is considered a research article review.
   Your paper should meet these requirements: 
   • Be approximately three to four pages in length, not including the required cover page and reference page.
   • Follow APA 7E guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
   • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
   • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.