Problem: Evaluating Large Datasets
Complete the following:
For each of the following actions, use each language to complete a programming solution.
Provide a screenshot of the execution, in Java and R, showing the code and the result set. Be sure to submit the actual .py file for Python in this module. Make sure to also respond to items 4 and 5.
Start a next action on a new page.
Use the IN300_Dataset1.csv file.
• Write a Python program that reads the CSV file into a Panda dataframe. Using that dataframe, print the row, source IP, and destination IP as a table.
• Write a Java program that reads the CSV file into an ArrayList. Convert the ArrayList to a string array and print the row, source IP, and destination IP on the same line using a loop.
• Write an R program that reads the CVS file using the read.csv data type. Print the row, source IP and destination IP of each line.
As part of the mastery requirements for this Competency Assessment, complete the following boldfaced item: Using the requirements for Step 3 above, write code, in R, that adds the protocol to the output of the given assignments.
• Compare and contrast the data collection used for each language.
• Discuss the data science process.
The response must include a reference list. Using Times New Roman 12 pnt font, double-space, one-inch margins, and APA style of writing and citations.
Attachment:- IN300-Dataset-1.rar