Gregory-crypto / demographic_data_analyzer

analyze tabular data and answer some demographical questions

Demographic Data Analyzer

There is a dataset of demographic data that was extracted from the 1994 Census database. Here is a sample of what the data looks like:

	age	workclass	fnlwgt	education	education-num	marital-status	occupation	relationship	race	sex	capital-gain	capital-loss	hours-per-week	native-country	salary
0	39	State-gov	77516	Bachelors	13	Never-married	Adm-clerical	Not-in-family	White	Male	2174	0	40	United-States	<=50K
1	50	Self-emp-not-inc	83311	Bachelors	13	Married-civ-spouse	Exec-managerial	Husband	White	Male	0	0	13	United-States	<=50K
2	38	Private	215646	HS-grad	9	Divorced	Handlers-cleaners	Not-in-family	White	Male	0	0	40	United-States	<=50K
3	53	Private	234721	11th	7	Married-civ-spouse	Handlers-cleaners	Husband	Black	Male	0	0	40	United-States	<=50K
4	28	Private	338409	Bachelors	13	Married-civ-spouse	Prof-specialty	Wife	Black	Female	0	0	40	Cuba	<=50K

Answered questions:

• How many people of each race are represented in this dataset? This should be a Pandas series with race names as the index labels. (race column)
• What is the average age of men?
• What is the percentage of people who have a Bachelor's degree?
• 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?
• What is the minimum number of hours a person works per week?
• What percentage of the people who work the minimum number of hours per week have a salary of more than 50K?
• What country has the highest percentage of people that earn >50K and what is that percentage?
• The most popular occupation for those who earn >50K in India.

Unit tests are written for you under test_module.py.

Dataset Source

Dua, D. and Graff, C. (2019). UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science.