•   Background: We have moved from simple graphs to advanced graphs  to visualize our datasets. In our last data assignment, I told you where  to place your data fields. In this assignment, you will place the data  field based on keywords in a sentence.
  Assignment:
  Use RStudio to generate advanced graphs (using the ggplot2 package) using the dataset below.

  Graphs to Produce:
  ***** Do not forget to tell RStudio what fields are factors! *****
  ggplot2 – Bar Plot: (Use dataset_price_personal_computers.csv)
   

• Plot the ram sold in the computers.
• Breakout how the computer screen sizes based on the ram.
• Position the computer screen sizes side by side.
• Drilldown the dataset further based on premium.
• Label the x-axis.
• Label the y-axis.
• Give the graph a title.
• What story is presented in this visualization?
• ggplot2 – Histogram: (Use dataset_production_of_rice_in_indonesia.csv)
   
• Plot the distribution of the wages of the rice production. (Use a binwidth = 5)
• Breakout the land status of ownership.
• Drilldown the dataset further based on the varieties of rice produced.
• Label the x-axis.
• Label the y-axis.
• Give the graph a title.
• What story is presented in this visualization?
• ggplot2 – Box Plot: (Use dataset_tipping_data.csv)
   
• Plot the Day vs Tip of the meals.
• Breakout the time of day.
• Drilldown the dataset further based on gender.
• Label the x-axis.
• Label the y-axis.
• Give the graph a title.
• What story is presented in this visualization?
• ggplot2 – Scatter Plot: (Use dataset_edgar_anderson_iris_data.csv)
   
• Plot the petal length vs petal width of the flowers.
• Breakout the species of the flowers.
• Drilldown the dataset further based on the species.
• Label the x-axis.
• Label the y-axis.
• Give the graph a title.
• What story is presented in this visualization?
• Please put all screen shots in a MS Word (other word processors are fine to use but save it in MS Word format). Don’t upload the screen shots individually in the assignment folder! Submit your assignment on or before the due date.
      

 Chapter 16: Operations Improvement & Ch. 17: Quality Management Any company, regardless of size, product or service, is one to which you can apply the principles of operational excellence. The basis for this paper will be either a factual case from your own work experience or a published case. For this paper, you will describe the situation in the case and then apply appropriate principles of operations improvement (Ch. 16) and quality management (Ch. 17). The case should be treated as a problem presented to you by your company’s top management for analysis and a recommended course of action. In the paper, you will discuss and make a recommendation for improvement in the operations of the company based on the concepts you learned in chapters 16 and 17.  You can use the case you discussed in a previous paper, however the only content that can be the same is the company overview. You must discuss a different situation/problem! If there are no other problems to discuss, you will need to select a different case. Your paper should be at minimum 8 double-spaced paragraphs (32 minimum sentences).  Your paper must include the following: • Company Overview: 1 paragraph; 4 minimum sentences • Situation/Problem: 1 paragraph; 4 minimum sentences • Recommendations from Ch. 16: Operations Improvement: 3 paragraphs; each paragraph must include 4 minimum sentences for a total of 12 sentences • Recommendations from Ch. 17: Quality Management: 3 paragraphs; each paragraph must include 4 minimum sentences for a total of 12 sentence You must include an APA formatted title page and a separate reference page that includes your references in APA format. At minimum, your textbook should be included! Please review the APA Resources folder under Content for questions regarding APA. Please note that Plagiarism will not be tolerated and will result in a zero grade. Please review the Academic Dishonesty Policy outlined in the syllabus and in your  

 Prepare answers according to the questions given in this week’s homework document.  The assignment is that you “provide a remediation plan based on the HackerView vulnerability assessment”  I have attached a sample assignment as a guide and a pdf that need to be followed. 

I have to submit this assignment on 11/5 2020 at 11:00 pm EST

Your task is to take the temperature readings and generate for each core:

1. A piecewise linear interpolation.
2. A global linear least squares approximation.
3. (Optional) A cubic spline (or other non-linear) interpolation.

2 Program Arguments & Execution

Your program must accept an input filename as the first command line argument. Your program must NOT prompt the user for a filename.

2.1 Input Format

Data takes the form of temperatures in a txt file. All data points are whitespace delimited. For example, if I had 5 temperature readings:

Example 1: Sample Input with Labels+61.0°C +63.0°C +50.0°C +58.0°C +80.0°C +81.0°C +68.0°C +77.0°C +62.0°C +63.0°C +52.0°C +60.0°C +83.0°C +82.0°C +70.0°C +79.0°C +68.0°C +69.0°C +58.0°C +65.0°C 

Example 2: Sample Input without Labels61.0 63.0 50.0 58.0 80.0 81.0 68.0 77.0 62.0 63.0 52.0 60.0 83.0 82.0 70.0 79.0 68.0 69.0 58.0 65.0 

would be a possible input files. Each line represents temperature readings from 4 processor cores. Process each temperature column independently. Readings are taken every 30 seconds. In this example:

• line 1 is 0 sec
• line 2 is 30 sec,
• line 3 is 60 sec.
• line 4 is 90 sec.
• line 5 is 120 sec.
• line 6 is 150 sec.
• line 7 is 180 sec.

Your first step should be to pre-process this data into a usable form. Conceptually, you need the data in the following format:

This table is a conceptual visualization of the data. You may select any combination data structures, e.g., ADTS (classes or structs), arrays, lists, vectors, or maps.

Time (sec)Core 0Core 1Core 2Core 3061.063.050.058.03080.081.068.077.06062.063.052.060.012083.082.070.079.018068.069.058.065.0

2.3 Output Format

All output must be written to text files (one file pre core). Each line must take the form:

xk<=x<xk+1xk<=x<xk+1; yi=c0+c1xyi=c0+c1x ; type

where

• xkxk and xk+1xk+1 are the domain in which ykyk is applicable
• ykyk is the kthkth function
• type is either least-squares or interpolation

You will have:

• n−1n−1 interpolation lines for each core
• exactly one least squares approximation line for each core

For the example data in described in Section 2.1 (Input Format) you would generate 4 output files.

• {basename}-core-0.{txt}
• {basename}-core-1.{txt}
• {basename}-core-2.{txt}
• {basename}-core-3.{txt}

3 Sample Execution & Output

3.2 Sample Output

The following is an example of piecewise linear interpolation output for a single core.

ex-interpolation-one-core.txt 

4.1 Documentation Requirements

All code must be properly and fully documented using a language appropriate comment style. All functions (including parameters and return types) must be documented.

1. Doxygen can be used for C++, Java, or JavaScript. Consider the following Doxygen Example:
   Example 3: C++ Doxygen Documentation/**  * Retrieve the value stored in three selected Cells  *  * @param cell1Id numeric id representing the 1st desired cell  * @param cell2Id numeric id representing the 2nd desired cell  * @param cell3Id numeric id representing the 3rd desired cell  *  * @return value stored in the Cell  *  * @pre (cell1Id > 0 && cell1Id < 10) &&  *      (cell2Id > 0 && cell2Id < 10) &&  *      (cell3Id > 0 && cell3Id < 10)  */ CellTriple get3Cells(int cell1Id, int cell2Id, int cell3Id) const;

Your analysis should take on a 3-paragraph format; Define, explain in detail, then present an actual example via research. Your paper must provide in-depth analysis of all the topics presented:

> How do you describe the importance of data in analytics?

> Can one think of analytics without data? Explain.

> Where does the data for business analytics come from?

> What are the sources and the nature of that incoming data?

> What are the most common metrics that make for analytics-ready data?

> Why is the original/raw data not readily usable by analytics tasks?

> How do you visualize the data?

Need 7-8 pages in APA format with introduction and conclusion. Must include minimum of 8 peer-reviewed citations.