After reading "The Gospel Message" article in the Module/Week 4 Reading & Study folder, answer the following questions (250–500 words total). These questions must be answered in separate paragraphs. What are various ways the gospel message is perceived in our culture? What are some specific moral reasons people may reject the gospel message? What are some specific emotional reasons people may reject the gospel message? What are some specific intellectual reasons people may reject the gospel message? What can Christians do to address these objections and better communicate the gospel message? Note: Scripture, course content, or research must be included in your answers where appropriate and must be cited properly with in-text citations and a reference, works cited or bibliography section at the end of your thread. See links in Assignment Instructions for details how to cite content to avoid plagiarism. Review the Discussion Board Forum 2 Instructions and grading rubric before completing this assignment.

Data representation is the act displaying the visual form of your data. The process of identifying the most effective and appropriate solution for representing our data is unquestionably the most important feature of our visualization design. Working on this layer involves making decisions that cut across the artistic and scientific foundations of the field.Here we find ourselves face-to-face with the demands of achieving that ideal harmony of form and function that was outlined in Chapter 6, Data Representation. We need to achieve the elegance of a design that aesthetically suits our intent and the functional behavior required to fulfill the effective imparting of information.According to Kirk 2016, in order to dissect the importance of data representation, we are going to "look at it from both theoretical and pragmatic perspectives." Choose three of the storytelling techniques (Pages 161 - 209) in which data is presented and stories are being interpreted. Discuss the importance and the advantages of using these techniques. Provide an example of each technique.ReferenceKirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.