(R Language) Determining poisonous mushrooms in data with decision tree models

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(R Language) Determining poisonous mushrooms in data with decision tree models
Details You will document in a report the results of each step of the mining process, analyze and interpret the results. Suggest the characteristics to use when determining if a mushroom is safe to eat. Make recommendations for additional analysis and variables to examine to build other classifications such as use of the mushrooms that are not poisonous.
The report should include the following:
Code walk through: in this section provide a step by step explanation of how the code is interacting with and/or transforming the data. Provide examples from the output to support your explanations.
Analysis: Based on the output, analyze the data and the relationships revealed about the variables of interest. Explains the insights provided by the output. Use visualizations to support your analysis.
Interpretation and Recommendations: Interpret the results of your analysis and explain what the results mean for the data owner. Provide recommendations for actions to be taken based on your interpretation. Support those with the data. Explain why and what explicit variables you suggest incorporating. For example, median income by city and state from the census.gov website might be useful for examining home ownership.
Both the r-code file and the word file are required.
Apa style formatting. No of pages 8 (1800 words) References page required and intext citations are must

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