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1 |
| -# Exploration of the Cost of living and Grad. Student wages |
2 |
| -## > COL = Cost of Living |
3 |
| -## > Wages = Self reported PhD Salary |
4 |
| - |
5 |
| -# Data collected from PhD students across several universities in the US. |
6 |
| -## Data from: https://www.phdstipends.com/ |
7 |
| -### Collected by Kendall Branham & Connor S. Murray |
8 |
| -### 11/8/2022 |
| 1 | +# Exploration of the Cost of Living and Graduate Student Wages |
| 2 | + |
| 3 | +This repository contains an analysis of the cost of living (COL) and self-reported PhD student salaries across various universities in the United States. |
| 4 | + |
| 5 | +## Data Overview |
| 6 | + |
| 7 | +- **Source:** [PhD Stipends](https://www.phdstipends.com/) |
| 8 | +- **Collected by:** Kendall Branham & Connor S. Murray |
| 9 | +- **Date:** November 8, 2022 |
| 10 | + |
| 11 | +## Project Description |
| 12 | + |
| 13 | +The goal of this project is to explore the relationship between the cost of living and the wages of PhD students. By analyzing self-reported salary data from PhD students across different universities, we aim to provide insights into the financial challenges faced by graduate students. |
| 14 | + |
| 15 | +## Data Collection |
| 16 | + |
| 17 | +The data used in this project was sourced from [PhD Stipends](https://www.phdstipends.com/), a platform where PhD students can anonymously report their stipends. The dataset includes information on stipends, cost of living, and other relevant details from various institutions across the US. |
| 18 | + |
| 19 | +## How to Use |
| 20 | + |
| 21 | +1. **Open an anaconda environment:** |
| 22 | + ```sh |
| 23 | + module load anaconda/2020.11-py3.8 |
| 24 | + python3 |
| 25 | + ``` |
| 26 | + |
| 27 | +2. **Run the code to download data:** |
| 28 | + ```python |
| 29 | + |
| 30 | + # Modules |
| 31 | + import requests |
| 32 | + import json |
| 33 | + import os |
| 34 | + import pandas as pd |
| 35 | + |
| 36 | + # Working directory |
| 37 | + os.chdir("/project/berglandlab/connor/") |
| 38 | + |
| 39 | + # Empty object |
| 40 | + full_stipends = [] |
| 41 | + reqlimit = 1000 |
| 42 | + |
| 43 | + # Go through each page |
| 44 | + for i in range(0, reqlimit): |
| 45 | + data = requests.get(f'https://www.phdstipends.com/data/{i}').json()['data'] |
| 46 | + for entry in data: |
| 47 | + full_stipends.append(entry) |
| 48 | + |
| 49 | + # Gather data from phdstipends pages until the pages no longer return data |
| 50 | + if len(data) < 1: |
| 51 | + break |
| 52 | + |
| 53 | + # Write to CSV file |
| 54 | + pd.DataFrame(full_stipends).to_csv("stipends.csv") |
| 55 | + ``` |
| 56 | +
|
| 57 | +## Contributing |
| 58 | +
|
| 59 | +Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request. |
| 60 | +
|
| 61 | +If you have any questions or need further assistance, please don't hesitate to contact us! |
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