chore: clean up readme (#8)
Naomi Carrigan
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### Assignment
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# Demographic Data Analyzer
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In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database. Here is a sample of what the data looks like:
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| | age | workclass | fnlwgt | education | education-num | marital-status | occupation | relationship | race | sex | capital-gain | capital-loss | hours-per-week | native-country | salary |
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|---:|------:|:-----------------|---------:|:------------|----------------:|:-------------------|:------------------|:---------------|:-------|:-------|---------------:|---------------:|-----------------:|:-----------------|:---------|
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| 0 | 39 | State-gov | 77516 | Bachelors | 13 | Never-married | Adm-clerical | Not-in-family | White | Male | 2174 | 0 | 40 | United-States | <=50K |
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| 1 | 50 | Self-emp-not-inc | 83311 | Bachelors | 13 | Married-civ-spouse | Exec-managerial | Husband | White | Male | 0 | 0 | 13 | United-States | <=50K |
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| 2 | 38 | Private | 215646 | HS-grad | 9 | Divorced | Handlers-cleaners | Not-in-family | White | Male | 0 | 0 | 40 | United-States | <=50K |
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| 3 | 53 | Private | 234721 | 11th | 7 | Married-civ-spouse | Handlers-cleaners | Husband | Black | Male | 0 | 0 | 40 | United-States | <=50K |
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| 4 | 28 | Private | 338409 | Bachelors | 13 | Married-civ-spouse | Prof-specialty | Wife | Black | Female | 0 | 0 | 40 | Cuba | <=50K |
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You must use Pandas to answer the following questions:
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* 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)
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* What is the average age of men?
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* What is the percentage of people who have a Bachelor's degree?
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* What percentage of people with advanced education (`Bachelors`, `Masters`, or `Doctorate`) make more than 50K?
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* What percentage of people without advanced education make more than 50K?
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* What is the minimum number of hours a person works per week?
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* What percentage of the people who work the minimum number of hours per week have a salary of more than 50K?
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* What country has the highest percentage of people that earn >50K and what is that percentage?
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* Identify the most popular occupation for those who earn >50K in India.
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Use the starter code in the file `demographic_data_analyzer`. Update the code so all variables set to "None" are set to the appropriate calculation or code. Round all decimals to the nearest tenth.
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Unit tests are written for you under `test_module.py`.
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### Development
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For development, you can use `main.py` to test your functions. Click the "run" button and `main.py` will run.
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### Testing
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We imported the tests from `test_module.py` to `main.py` for your convenience. The tests will run automatically whenever you hit the "run" button.
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### Submitting
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Copy your project's URL and submit it to freeCodeCamp.
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### Dataset Source
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Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
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This is the boilerplate for the Demographic Data Analyzer project. Instructions for building your project can be found at https://www.freecodecamp.org/learn/data-analysis-with-python/data-analysis-with-python-projects/demographic-data-analyzer
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