Team: project-3-p2-ou-yu-li
Members: Aaron Ou, Julien Yu, Brian Lin
Articles on: https://berkeley-stat159-f17.github.io/project-3-p2-ou-yu-li/
The dataset we work on is named adult.csv (1994, UC Irvine Machine Learning Repository), which consists of the demographic information (i.e. age, work class, education, race, sex, etc.) about adults with an occupation.
We would like to analyze the relationship between different explanatory variables. For example, does one’s gender affect how many years of education they obtain? What about one’s race? These questions are essential, not only to understand the American society of 20 years ago, but also to understand that of today.
Clone the repo folder from github and rename it to p3:
git clone https://github.com/berkeley-stat159-f17/project-3-p2-ou-yu-li.git p3
Make sure you have Anaconda installed in your local machine. Ref: https://www.anaconda.com/download/#linux
To set up the proper environment with prerequisites (Python, a few python packages, Sphinx etc). Run the following:
cd p3 # go to the p3 folder
make env # create an environment named `demographics`
source activate demographics # activate the environment named `demographics`
make all # run all ipython notebooks
Run unit tests:
python functions/testing.py
The notebooks used in our analysis, demographics-p1 to demographics-p5 and main can be found in the base directory. These are the directories:
- data: store the raw data csv file
- fig: store the figures created from notebook
- functions: store the python functions that will be reused across notebooks
- results : store the cleaned data files created from notebook
MIT License
Copyright (c) 2017 Reproducible and Collaborative Statistical Data Science
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.