R programming or R studio Experts required

Requirement:
Programming for data analysis (R studio)
Expected work deadline : 2 days
Need use R studio write code to analyze data and documentation
Documentation: 1000 to 1200 words (report writing )
Plagiarism: Less then 15% (Turnitin)

1. Stud-ent Placement Dataset
OVERVIEW
For the project, you are asked to explore the application of data analytics techniques to the dataset which is provided. You must study data problems related to the dataset, giving special consideration to the unique properties of the problem domain, and testing one or more techniques on it.

Your analysis should be deep and in details, also it must go further than what has already been covered in this course. You must adopt the data Exploration, Manipulation, Transformation and Visualization concepts to guide you through the solution process.

Involve No of techniques by categorize it into different criteria and a detailed exploration with the commands using in each criteria. Outline the findings, analyze them and justify correctly with an appropriate graph. Also, a supporting document is needed to reflect the graph and code using R programming concepts.

2. OBJECTIVES

This assig-nment will help you to explore and analyse a set of data and reconstruct it into meaningful representations for decision making.

4. DESCRIPTION

This dataset contains the students details within an organization that could determine some hidden issue in campus placements among students. Marketing department assigned you to perform analysis with the given dataset to identify hidden problem among the stud-ents and provide meaningful insight for decision making.


Techniques
The techniques used to explore the dataset using various data exploration, manipulation, transformation, and visualization techniques which covered in the course. And as an additional feature must explore the further concepts which can improve the retrieval effects.
The dataset provided for this assig-nment is related to the stud-ents’ placement information and attribution. It contains 25 columns and 17007 rows. The dataset includes the personal detail of the stud-ents, some family backgrounds, extra activities, academic records, and placements information.


5. REQUIREMENTS

• The R program should compile and be executed without errors.
• Validation should be done for each entry from the users to avoid logical errors.
• No duplication is allowed in dataset.
• You should;
o Include good programming practice such as comments, variable naming conventions and indentation.
o Carried out additional research from Internet to comprehend the knowledge and information on the given dataset when examine the data.
• The analysis should be meaningful and effective in providing the information for the decision making.
• Any additional features implemented must improve the retrieval effects.
• In a situation where a stud-ent:
o Failed to demo the assig-nment, overall marks awarded for the assig-nment will be adjusted to 50% of the overall existing marks if it is more than 50%.
o Found to be involved plagiarism, the offence and will be dealt in accordance to APU and Staffordshire University regulations on plagiarism.




6.0 DELIVERABLES:
• The complete RScript (source code) and report must be submitted to APU Learning Management System (Moodle).
• RScript (Program Code):
o Name the file under your name and TP number.
o Start the first two lines in your program by typing your name and TP number. For example:
# NAME
#TP123456
o For each question example, give an id and explain what you want to discover. For example:
# Question 1: Why staff would leave the company.
# Analysis 1-1: Find the relationship between job position with attrition…
# Analysis 1-2: Find the relationship between job age and ….
# Analysis 1-3: Find the relationship between …
o For each extra feature example, give an id and provide the explanation.
# Extra feature 1
# comments about the extra feature