Jupyter Notebook used to perform Exploratory Data Analysis (EDA).

• Perform basic Exploratory Data Analysis (EDA) on the University Admissions Dataset.

• Using the "university_admision.csv" included in the course package, write a python script to perform the following tasks:

  • Import the "university_admission.csv" file using Pandas
  • Display the first and last 8 rows in the DataFrame
  • Obtain the shape of the DataFrame
  • Calculate the average, min and max values for the LOR and SOP Columns
  • Use the GRE Score as the pandas dataframe index

• Columns definitions are as listed below:

  • GRE Scores (out of 340)
  • TOEFL Scores (out of 120)
  • University Rating (out of 5)
  • Statement of Purpose (SOP)
  • Letter of Recommendation (LOR) Strength (out of 5)
  • Undergraduate GPA (out of 10)
  • Research Experience (either 0 or 1)
  • Chance of admission (ranging from 0 to 1)