Climate Opinions (ClimOps)

source:https://www.mediamatters.org/blog

Team: Robin Clancy, Rebeca de Buen, Hamid Pahlavan and Yakelyn R. Jauregui

Course project for CSE 583 - Software Engineering for Data Scientists

Project description

This project will create a data set that allows researchers to explore whether there is a correlation between beliefs about climate change, and demographic characteristics and transportation behaviors reported in the United States Census. The final product would allow the user to explore (through basic statistics and visualizations) questions such as:

Are race, ethnicity, socioeconomic status (education and income), and gender correlated with climate change perceptions?
Do people’s beliefs about climate change have a correlation with their transportation behavior (for example, do people who believe that climate change is happening and caused by humans drive less/ own less cars/ use more public transit/ bike more)?. The goal is to create an easy way to visualize potential relationships between these data sets to see if any of these may worth exploring further.

Sources of data

This project combines the following data sets:

The 2018 Yale Climate Opinions Map Data
The 2015 United States Census

Organization of the Project

The project has the following structure:

├── ClimOps
   ├── climops
   │   ├── calculate_statistics.py
   │   ├── create_heatmap.py
   │   ├── data
   │   │   ├── LND01.xls
   │   │   ├── YCOM_2018_Data.csv
   │   │   ├── YCOM_2018_Metadata.csv
   │   │   └── acs2015_county_data.csv
   │   ├── plot_heatmap.py
   │   ├── prepare_data.py
   │   ├── heatmap.html
   │   ├── scatter.html
   │   ├── tests
   │   │   ├── __init__.py
   │   │   ├── test_calculate_statistics.py
   │   │   └── test_prepare_data.py
   │   └── version.py
   ├── Docs
   │   ├── Component_specification.md
   │   ├── Functional_specification.md
   │   ├── Final_Presentation.pdf
   │   ├── Tech_Review.pdf
   │   └── climops.html
   ├── Examples
   │   └── create_heatmap.ipynb
   ├── images
   │   └── logo.png
   ├── LICENSE
   ├── README.md
   ├── requirements.txt
   ├── environment.yml
   └── setup.py

Installation

First, get ClimOps on your own computer by using the following git command:

git clone https://github.com/HamidPahlavan/climops.git

Next, to install the package you will need to go into the climops directory and run the setup.py file:

pip install -r requirements.txt

Usage Instructions

First follow installation guide

Generate heatmaps and scatter plots displaying relationships between variables by either

Running the following from the climops folder from a bash terminal:
```
$ python create_heatmap.py
```
Within a python terminal, rom the climops folder, execute:
```
import create_heatmap
```
Follow the create_heatmap.ipynb in the Examples folder

Or just visit the following webpage:

http://htmlpreview.github.io/?https://github.com/HamidPahlavan/ClimOps/blob/master/Docs/climops.html

HamidPahlavan / climops

readme