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   In this operation, you accomplish use Python, SAS, or R to stir postulates for a telecommunications corporation (see “Customer Data” web concatenate) and produce a postulates mining relation in a account processor (e.g., Microsoft Word). You accomplish produce visual illustrateations throughout the dependence to profession each plod of your operation and to visually illustrate the findings of your postulates anatomy. You are an analyst for a telecommunications corporation that is disturbed encircling the estimate of customers leaving their landline transaction for cable competitors. The corporation insufficiencys to apprehend which customers are leaving and endeavor to tranquillize continued customer forfeiture. You keep been asked to stir customer postulates to identify why customers are leaving and implicit indicators to clear-up why those customers are leaving so the corporation can produce an informed contemplation to tranquillize excite forfeiture. I: Dupe Selection Execute postulates nobility from the “Customer Data” web concatenate using postulates mining software (Python, R, or SAS). Provide a mitigate shot of the regulation you keep written and its fortunate collision after a while a observation of all the extracted postulates. Describe the benefits of using      the dupe you keep clarified (Python, R, or SAS) for extracting postulates in this      scenario. Define the objectives or goals      of the postulates anatomy. Enconfident that your objectives or goals are culm      among the end of the scenario and are illustrateed in the serviceable      data. Select a feeling      order and a nonfeeling order (i.e., suggestive,      classification, or probabilistic techniques) you accomplish use to stir the      data, and clear-up how the orders you keep clarified are misspend for      the objectives or goals you keep fixd. II: Postulates Exploration and Preparation Cleansed the postulates you keep extracted and spare as .xls or .xlsx format for dependence. Be confident to harangue all inevitable formatting, converting, and privation postulates. Describe the target shifting in      the postulates and specify the multiplyicular image of postulates the target shifting is      using, including examples that assistance your claims. Describe an recalcitrant      predictor shifting in the postulates and specify the multiplyicular image of postulates      being pictorial. Use examples from the postulates set that assistance your claims. Propose the goal in      manipulation of the postulates and fix your postulates making-ready bequest. Define the statistical unity      of the postulates, including the adventitious criteria and oddity to be      predicted. Explain the plods used to cleansedsed      the postulates and how you harangueed any anomalies or privation postulates. III: Postulates Analysis For each of the aftercited plods, be confident to plainly specify each plod after a whilein your postulates fencing after a while a mitigate shot and annotations in your definite dependence. All algorithms used insufficiency to be plainly authorized in the mitigate shot and dependence. Identify the arrangement of      variables using univariate statistics from your cleanseded and willing postulates.      Reoffer your findings visually as multiply of your dependence. Identify the arrangement of      variables using bivariate statistics from your cleanseded and willing postulates.      Reoffer your findings visually as multiply of your dependence. Apply an analytic order and an      evaluative order. Annotate the postulates professioning twain orders and your      findings. Justify the orders you keep      clarified to stir your postulates. Be confident to apprehend details encircling how the      methods you keep clarified emend illustrates your findings than other      methods. Justify the orders you keep      clarified to visually offer your postulates. Be confident to apprehend details encircling how      the offeration orders you chose emend illustrates your findings than      other offeration orders.   IV: Postulates Summary Summarize the findings of your postulates evaluation. Provide the definite findings postulatesset, including evaluation measures. Explain how your postulates professions      that it was sensitive or not and whether the oddity you wanted to      detect was offer in your findings. Provide multiplyicular examples from the      postulates to assistance your claims.  Describe the orders you used      for detecting interactions and for selecting the most main predictor      variables. Apprehend the multiplyicular interactions you detected and the most      main predictor shiftings that you institute. Acknowledge sources, using      in-text citations and references, for pleased that is quoted, paraphrased,      or summarized.