Which grоup lists the bооks of the Mаjor Prophets in the correct order?
Instructiоns The R Mаrkdоwn аnd R/Pythоn Jupyter Notebook files include the questions, the empty code chunk sections for your code, аnd the text blocks for your responses. Answer the questions below by completing the R Markdown or R/Python Jupyter Notebook file. You may make slight adjustments to get the file to knit/convert but otherwise keep the formatting the same. Once you've finished answering the questions, submit your responses in a single knitted file as HTML only. Partial credit may be given if your code is correct, but your conclusion is incorrect or vice versa. Next Steps: Save either the .rmd or .ipynb file in your R or Python working directory - the same directory where you will download the "Life Expectancy Data.csv" data file into. Having both files in the same directory will help in reading the Life Expectancy Data.csv file. Read the question and create the R or Python code necessary within the code chunk section immediately below each question. Knitting this file will generate the output and insert it into the section below the code chunk. Type your answer to the questions in the text block provided immediately after the response prompt. Once you've finished answering all questions, knit this file and submit the knitted file as HTML on Canvas. Mock Example Question This will be the exam question - each question is already copied from Canvas and inserted into individual text blocks below, you do not need to copy/paste the questions from the online Canvas exam. # Example code chunk area. Enter your code below the comment Mock Response to Example Question: This is the section where you type your written answers to the question. Depending on the question asked, your typed response may be a number, a list of variables, a few sentences, or a combination of these elements. Data Set Life Expectancy Data.csv Starter TemplatesYou may use either the R Markdown or Jupyter Notebook Starter Template: R Markdown Starter Template: Summer2024_Midterm_R_starter_template.rmd Python Jupyter Notebook Starter Template: Summer2024_Midterm_Python_starter_template.ipynb R Jupyter Notebook Starter Template: Summer2024_Midterm_R_starter_template.ipynb Ready? Let's begin. We wish you the best of luck!