# Data Analysis with Python Projects - Demographic Data Analyzer

Tell us what’s happening:
Describe your issue in detail here.
Console is not able to install pandas as it is viewing a text said “No module names pandas”

Your code so far
import pandas as pd

def calculate_demographic_data(print_data=True):
# Read data from file
df = pd.read_csv (“adult.data.csv”)

``````# How many of each race are represented in this dataset? This should be a Pandas series with race names as the index labels.
race_count = df['race'].value_counts()

# What is the average age of men?
average_age_men = df[df['sex'] == 'male']['age'].mean().round(1)

# What is the percentage of people who have a Bachelor's degree?
percentage_bachelors = round((len(df[df['education'] == 'Bachelors'])) / len(df), 1)

# What percentage of people with advanced education (`Bachelors`, `Masters`, or `Doctorate`) make more than 50K?
# What percentage of people without advanced education make more than 50K?

# with and without `Bachelors`, `Masters`, or `Doctorate`
higher_education = df[df["education"].isin(["Bachelors","Masters","Doctorate"])]
lower_education = df[~df["education"].isin(["Bachelors","Masters","Doctorate"])]

# percentage with salary >50K
higher_education_rich = round((len(higher_education)/len(higher_education[higher_education.salary > '50K'])) * 100, 1)
lower_education_rich = round((len(lower_education)/len(lower_education[lower_education.salary > '50K'])) * 100, 1)

# What is the minimum number of hours a person works per week (hours-per-week feature)?
min_work_hours = df['hours-per-week'].min()

# What percentage of the people who work the minimum number of hours per week have a salary of >50K?
num_min_workers = df[df['hours-per-week'] == min_work_hours]

rich_percentage = round((len(num_min_workers[num_min_workers.salary=='50k'])/len(num_min_workers))*100,1)

# What country has the highest percentage of people that earn >50K?
country_count = df['native-country'].value_counts()
country_rich_count = df[df['salary'] > '50k']['native-country'].value_counts()

highest_earning_country = (country_rich_count/country_count * 100).idxmax()
highest_earning_country_percentage = round((country_rich_count/country_count * 100).max(), 1)

# Identify the most popular occupation for those who earn >50K in India.
india_people = df[df['native-country']== 'India']
occupation_count = india_people['occupation'].value_counts()
top_IN_occupation = occupation_count.idxmax()

# DO NOT MODIFY BELOW THIS LINE

if print_data:
print("Number of each race:\n", race_count)
print("Average age of men:", average_age_men)
print(f"Percentage with Bachelors degrees: {percentage_bachelors}%")
print(f"Percentage with higher education that earn >50K: {higher_education_rich}%")
print(f"Percentage without higher education that earn >50K: {lower_education_rich}%")
print(f"Min work time: {min_work_hours} hours/week")
print(f"Percentage of rich among those who work fewest hours: {rich_percentage}%")
print("Country with highest percentage of rich:", highest_earning_country)
print(f"Highest percentage of rich people in country: {highest_earning_country_percentage}%")
print("Top occupations in India:", top_IN_occupation)

return {
'race_count': race_count,
'average_age_men': average_age_men,
'percentage_bachelors': percentage_bachelors,
'higher_education_rich': higher_education_rich,
'lower_education_rich': lower_education_rich,
'min_work_hours': min_work_hours,
'rich_percentage': rich_percentage,
'highest_earning_country': highest_earning_country,
'highest_earning_country_percentage':
highest_earning_country_percentage,
'top_IN_occupation': top_IN_occupation
}
``````

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Challenge: Data Analysis with Python Projects - Demographic Data Analyzer

Link to the challenge:

This is typically the dependency problem mentioned in many posts about the python data analysis projects. You’ll need to update your `pyproject.toml` file and delete and reinstall your dependencies (assuming you’re using replit). If that doesn’t work, you’ll need to post a link to your repl for debugging.