Overview
Task summary:Using Tableau (and Excel if needed), generate a combined Data Description and Data Exploration Report on selected Lending Club features, including univariate statistics, histograms, bivariate analyses with visualizations, and statistical tests, to better understand predictors of loan repayment outcomes.
Full order description: Please complete the following task: 📋 MAIN DETAILS:BackgroundYou are a data scientist at Lending Club and you are trying to improve your accuracy in predicting how likely each customer will be to pay back their loan. You need to begin by working through the Data Understanding Phase for this project. Recall that there are four reports typically generated from this phase:1. Initial Data Collection Report2. Data Description Report*3. Data Exploration Report*4. Data Cleaning ReportHowever, you are only requried to generate Reports 2 and 3 (in a single combined Word document)for this assignment using the Lending Club data set below. There is a sample report included for download in the files below. However, to keep this assessment to a realistic scope, you can ignore the hypotheses and references/citations used in the example report. You only need to include theanalyses themselves. See the details below.Task Description:· Use Word and any combination of Tableau and Excel you would like to complete the tasks outlined in the questions below, which will walk you through creating the Data Description Report and Data Exploration Report.📎 ATTACHED:-instruction-csv file-example