- pandas

import pandas as pd from pyodide.http import open_url data=pd.read_csv(open_url("https://raw.githubusercontent.com/knavee12345/knavee12345/main/Certifications/depressed.csv")) data=data.fillna(0)

Dataset

Hi,
The original Dataset was published by ,Frankcc in the following link : Link Kaggle
The dataset is involved into the analysis of depression. The data was consists as a study about the life conditions of people who live in rurales zones. Because all the columns were not explicated in this challenge so We can´t understand them. We proceded to delete them or ignoring.

Total Observations:

len(data)

No of Depressed People:

depressed_data=data.query("(mental_health=='Depressed')") len(depressed_data)

Percentage:

print(f'{round((len(depressed_data)/len(data)*100),2)}%')

No of Null Values:

data.isna().sum().sum()

No of Duplicate Values:

data.duplicated().sum()

No of Columns:

data.shape[1]

Dataset

Data