Highlights
Task:
You work at Nintendo as a data scientist. The marketing team have approached you because they want to develop some new Pokémon in order to add new trading cards. You have been asked to analyse the current Pokémon data set and develop some ideas for the new Pokémon/s that will be included in the trading cards. The marketing team have no preconceived ideas about the sorts of attributes the new Pokémon should have. It could be a new classification, higher attack or defense or new legendary Pokémon type. Nintendo head office have provided you with a dataset and have asked to provide a report with recommendations about what attributes you think these new Pokémon cards should have and justifications for your suggestions. First, the marketing team would like to get a better understanding about what sorts of attributes the current Pokémon/s have. They have asked you to describe the data and find interesting phenomena. Second, the marketing team have asked you to explore the data in more detail. They would like you to use your expertise in data science to dig out anything you feel is interesting or significant. Further, they would like you to be able to make some predictions about which Pokémon/s your new proposed Pokémon/s would win battles against, in particular whether they would be likely to win against Kyogre. You are required to prepare a report about your findings and to make suggestions about which attributes you would recommend be included in these new Pokémon/s profiles and to justify why you chose these attributes. You are also required to provide the script of the code you have used to prepare and explore your data. A notepad template is provided for you to complete.
To prepare the report, please include the following sections: 1. Introduction Provide an introduction to the problem. Include background material as appropriate: who cares about this problem, what impact it has, where does the data come from, what are the dimensions and structure of the data. 2. Data Setup Describe how to load the data, and how the pre-processing is performed. The original dataset is not ready for analysis and it is different from the data forms that we are familiar with in previous practices. This means we need to do some pre-processing, either for the whole dataset, or for a subset of the dataset required for each sub task described later. ICT110 Introduction to Data Science Assignment 2 Page 5 of 7 Once you have some ideas of exploratory or advanced analysis, you need to adjust the form of dataset. This can be achieved either by manipulating records in R by transposition or subsetting, or with other tools (e.g. notepad or excel) before reading them into R. Please clearly explain the way you have cleaned the data in this section. If you use Excel please still explain the steps in the Notepad document and the Report.
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