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| Collage of family spices from Dollar Street. Photos by: Johan Eriksson, Lucy Forsyth, Isaiah Williams, Omar Hayana, Rosine Fidele, Joseph Ramirez, Raashi Saxena, and Alisa Sidorenko. Licensed under creative commons 4.0 |
This is an accompanying repository for our paper that tried to answer the following statistical question: How Income & Location Impact the Number of Spices in a Household.
- Python 3.8.3
- RStudio 1.3.1073
Before trying out our code, make sure to install some R dependencies: ggplot2 and RColorBrewer. For installation of our python dependencies, use terminal to cd into this folder, and use this command:
pip3 install -r requirements.txtOur sampling frame was created using code/appendix.py, which scraped family data from Dollar Street. It was last gathered on October 10, 2020. This frame has a total of 397 cases. Here is some information explaining the columns of this frame.
| Variables | Type | Description |
|---|---|---|
| id | Identifier | A unique string of characters and integers. |
| name | Identifier | The family name. |
| income | Numeric | Income of family in dollars. Please check how these values were calculated by Dollar Street. |
| country | Categorical | The name of the country the family lives in. |
| continent | Categorical | The name of the continent the family lives in. |
| url | Identifier | The Dollar Street URL of the family. |
| slug | Identifier | A unique identifier found at the end of the family URL. |
| short_desc | Identifier | A short description about the family. |
By using Dollar Street family data, it helped answer our question. Please check them out!