Assignment Instructions

You are an analyst for a telecommunications company that is concerned about the number of customers leaving their landline business for cable competitors. The company needs to know which customers are leaving and attempt to mitigate continued customer loss. You have been asked to analyze customer data to identify why customers are leaving and potential indicators to explain why those customers are leaving so the company can make.

DOWNLOAD ANSWER NOW

In this task, you will use Python, SAS, or R to analyze data for a telecommunications company (see “Customer Data” web link) and create a data mining report in a word processor (e.g., Microsoft Word). You will create visual representations throughout the submission to show each step of your work and to visually represent the findings of your data analysis.

You are an analyst for a telecommunications company that is concerned about the number of customers leaving their landline business for cable competitors. The company needs to know which customers are leaving and attempt to mitigate continued customer loss. You have been asked to analyze customer data to identify why customers are leaving and potential indicators to explain why those customers are leaving so the company can make an informed plan to mitigate further loss.

I: Tool Selection
Execute data extraction from the “Customer Data” web link using data mining software (Python, R, or SAS). Provide a screen shot of the code you have written and its successful application with a copy of all the extracted data.

Describe the benefits of using the tool you have chosen (Python, R, or SAS) for extracting data in this scenario.
Define the objectives or goals of the data analysis. Ensure that your objectives or goals are reasonable within the scope of the scenario and are represented in the available data.
Select a descriptive method and a nondescriptive method (i.e., predictive, classification, or probabilistic techniques) you will use to analyze the data, and explain how the methods you have selected are appropriate for the objectives or goals you have defined.
II: Data Exploration and Preparation
Clean the data you have extracted and save as .xls or .xlsx format for submission. Be sure to address all necessary formatting, converting, and missing data.

Describe the target variable in the data and indicate the specific type of data the target variable is using, including examples that support your claims.
Describe an independent predictor variable in the data and indicate the specific type of data being described. Use examples from the data set that support your claims.
Propose the goal in manipulation of the data and define your data preparation aims.
Define the statistical identity of the data, including the essential criteria and phenomenon to be predicted.
Explain the steps used to clean the data and how you addressed any anomalies or missing data.
III: Data Analysis
For each of the following steps, be sure to clearly indicate each step within your data sheet with a screen shot and annotations in your final submission. All algorithms used need to be clearly identified in the screen shot and submission.

Identify the distribution of variables using univariate statistics from your cleaned and prepared data. Represent your findings visually as part of your submission.
Identify the distribution of variables using bivariate statistics from your cleaned and prepared data. Represent your findings visually as part of your submission.
Apply an analytic method and an evaluative method. Annotate the data showing both methods and your findings.
Justify the methods you have chosen to analyze your data. Be sure to include details about how the methods you have chosen better represents your findings than other methods.
Justify the methods you have chosen to visually present your data. Be sure to include details about how the presentation methods you chose better represents your findings than other presentation methods.

IV: Data Summary
Summarize the findings of your data evaluation. Provide the final findings dataset, including evaluation measures.

Explain how your data shows that it was discriminating or not and whether the phenomenon you wanted to detect was present in your findings. Provide specific examples from the data to support your claims.
Describe the methods you used for detecting interactions and for selecting the most important predictor variables. Include the specific interactions you detected and the most important predictor variables that you found.
Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized

DOWNLOAD ANSWER NOW

You are an analyst for a telecommunications company that is concerned about the number of customers leaving their landline business for cable competitors. The company needs to know which customers are leaving and attempt to mitigate continued customer loss. You have been asked to analyze customer data to identify why customers are leaving and potential indicators to explain why those customers are leaving so the company can make

Calculate Price


Price (USD)
$

Why Choose Us For Your Assignment?

Privacy

We value all our customers' privacy. For that reason, all information stays private and confidential and will never be shared with third parties.

Punctuality

With our service you will never miss a deadline. We use strict follow-ups with our writers to ensure that all papers are submitted on time.

Authenticity

We have no tolerance for plagiarism. All papers go through thorough checking to ensure that no assignments contain plagiarism.

Money Back

You feel unsatisfied with your results? No worries. We offer refunds to our customers if any paper is not written according to the instructions.

Clients Love Us

Client #121678
Client #121678
Read More
This is by far the best I have ever scored in a custom essay. I am surprised the writer handled this assignment so well despite the short notice. I will definitely use your service next time.
Client #21702
Client #21702
Read More
When I was recommended to you by my friends, I wasn't sure you could deliver excellent results for Masters research papers until I submitted my first order. I am all yours now.
Client #20730
Client #20730
Read More
Excellent Services! You are the only assignment helper I can rely on. I have worked with many before and your services are exceptional. I have recommended you to my friends and the results are similar.
Client #20387
Client #20387
Read More
I rarely write reviews online but your services are worth promoting. My paper was so urgent I was sure I was gonna miss the deadline but you turned things around. You are awesome!
Client #20189
Client #20189
Read More
I am a satisfied customer. I know I should have given a 5 star because you deserve it but I will give 4.6 because I almost missed a deadline because of a revision. Luckily it was minor and the writer acted promptly.
Client #20187
Client #20187
Read More
Great paper but there is still some room for improvement. I am impressed by your fast responses and how you tacked my concerns professionally. Thank you for being among the few genuine essay writing service providers.
Client #19783
Client #19783
Read More
I can't thank you enough for being a great part of my college life. I recommended you to two more of my friends. I am sure they will be making their orders soon. I love the fact that you offer free pages for referrals. I will be referring a few more and maybe I won't have to pay for my next two paper, LOL.
Previous
Next