Data Interview Qs - College football expenses by conference

InterviewQs

College football expenses by conference

Data Analysis Python Pandas Data Manipulation External Dataset

Forward this email to a friend or colleague and challenge them to solve it.

Hi, 

Given the following dataset on college sports operating expenses and this dataset that classifies a subset of schools into their respective football conference, show the school in each conference that has the highest football program expense, along with the average football program cost for all schools in the conference. Your output should contain the following fields:

  • Conference
  • Average conference spend on football
  • College with highest spend
  • Football spend of college with highest spend

To help get you started, below is code (Python) to import the referenced dataset:

    

# Import libraries

%matplotlib inline

import pandas as pd

import matplotlib.pyplot as plt

import numpy as np

import seaborn as sns

# Import data

df = pd.read_csv('https://raw.githubusercontent.com/erood/interviewqs.com_code_snippets/master/Datasets/eada_2019_expense_and_revenue.csv')

df_map = pd.read_csv('https://raw.githubusercontent.com/erood/interviewqs.com_code_snippets/master/Datasets/college_id_to_conference.csv')

Our solution will be written using Python for premium users.

 

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