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In this challenge you must anaylize demographic data using Pandas. You are given a dataset of demographic data. Here is a sample of what the data looks like: age workclass fnlwgt education education-num marital-status ... sex capital-gain capital-loss hours-per-week native-country salary 0 39 State-gov 77516 Bachelors 13 Never-married ... Male 2…

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CodeWithPython57/Demographic-Data-Visualizer---Python-Pandas-Project

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Demographic-Data-Visualizer---Python-Pandas-Project

Data Analysis of demographic data using Python pandas library.

File Information : demographic_visualizer.py : Code for Analysis and dataset is used using GitHub link for updating in future. main.py : Main file where our code run and gives output train.py : Training file

Following Analysis you can analyse using this dataset.

--How many of people are white or black according to this dataset.

--What is the average age (age feature) of men?

--What is the percentage of United States citizens (native-country feature)?

--What are mean value and standard deviation of the age of those who recieve more than 50K per year (salary feature) and those who receive less than 50K per year?

--What is the minumum number of hours a person works per week (hours-per-week feature)?

--What percentage of the people that work the minumum number of hours per week have a salary of >50K?

--Identify the top occupation for those who earn a little and a lot (salary) for each country (native-country).

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In this challenge you must anaylize demographic data using Pandas. You are given a dataset of demographic data. Here is a sample of what the data looks like: age workclass fnlwgt education education-num marital-status ... sex capital-gain capital-loss hours-per-week native-country salary 0 39 State-gov 77516 Bachelors 13 Never-married ... Male 2…

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