Countries with the highest rates of diabetes

Countries with the highest rates of diabetes

Data Analysis Python Pandas Data Manipulation External Dataset

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Hi,

You're given the following dataset showing population and diabetic information for hypothetical countries. A preview of the data is below:

	country_id	population_total	num_diabetic	sugar_intake_daily_grams
0	10860	3,567,433	254817	86
1	494	1,914,891	127659	74
2	3821	7,521,401	683764	96
3	2352	3,227,059	293369	111
4	4577	1,338,156	121651	126

Using this data, return a ranked list of the top 10 countries with the highest percent of citizens with diabetes. Additionally, visualize this information as you would for a non-technical stakeholder.

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

Our solution will be written in Python for premium users.

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