In this assignment, we will concentrate on CORRUPTION (from Transparency International's Corruption Perception Index). Use only the data in the Transparency International's site (the site we provided in the course) for this indicator. Do not use rank, use only the index or scores. Imagine your company wants you to compare Pestel elements in this case, Transparency International's corruption perception scores or index) among the foreign countries it is considering to enter and are listed in the alternatives below. You are to obtain and interpret the data for the Corruption Perception index, for those countries assigned to you, and then answer the following question. When comparing alternate countries, your company prefers to enter those that have shown a BETTER IMPROVEMENT relative to the other in terms of corruption, comparing the scores of 2005 and 2016. E.g., between countries A (score increased 10% between 2005-2016), and B (score increased 1% between 2005-2016), they would choose country A. And between country C (score decreased 20% between 2005-2016) and country D (score decreased 10% between 2005-2016), they would choose country D. Based on the data your retrieved, and on the percentage increase (or decrease) in the Corruption Perception index (score) between 2005-2016 alone (you will need to calculate such percentages), you could say the chances of your company choosing much GREATER than it picking - are Bahrain: Cte d'Ivoire Cyprus; Guyana Benin: Trinidad and Tobago The Democratic Republic of Congo: Lithuania