https://github.com/rileynwong/forecasting-coffee-prices

Predict coffee prices in Kenya
https://github.com/rileynwong/forecasting-coffee-prices

data data-analysis data-scraping data-visualization forecasting forecasting-models forecasting-prices jupyter-notebook prophet prophet-model

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Predict coffee prices in Kenya

• Host: GitHub
• URL: https://github.com/rileynwong/forecasting-coffee-prices
• Owner: rileynwong
• Created: 2019-03-19T17:06:40.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-19T17:29:41.000Z (almost 6 years ago)
• Last Synced: 2024-10-15T07:34:14.594Z (3 months ago)
• Topics: data, data-analysis, data-scraping, data-visualization, forecasting, forecasting-models, forecasting-prices, jupyter-notebook, prophet, prophet-model
• Language: Jupyter Notebook
• Size: 863 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Projecting Coffee Prices in Kenya

Using data from the Nairobi Coffee Exchange for coffee prices from 2014-2018, scrape data from PDFs, and forecast future coffee prices for the 2018-2019 session.

Uses [Tabula](https://github.com/chezou/tabula-py) for data scraping and [Prophet](https://github.com/facebook/prophet/) for time-series forecasting.

For easy viewing:

- [NBViewer for PDF_to_CSV.ipynb](https://nbviewer.jupyter.org/github/rileynwong/forecasting-coffee-prices/blob/master/PDF_to_CSV.ipynb)

- [NBViewer for Predicting_Coffee_Prices.ipynb](https://nbviewer.jupyter.org/github/rileynwong/forecasting-coffee-prices/blob/master/Predicting_Coffee_Prices.ipynb)

### Setup

- Create and activate a new virtual environment:

  - `$ conda create -n coffee_env python=3`

  - `$ conda activate coffee_env`

- Install project dependencies:

  - `$ conda install gcc; conda install -c conda-forge fbprophet`

  - `$ pip install -r requirements.txt`

### File Overview

- [PDF_to_CSV.ipynb](PDF_to_CSV.ipynb): Jupyter notebook that parses and cleans the data from the PDF files into a CSV file.

- [Predicting_Coffee_Prices.ipynb](Predicting_Coffee_Prices.ipynb): Jupyter notebook that plots the monthly average prices for grade AA, AB, and C coffee, and forecasts the coffee prices for 2018-2019.

- [Projecting_Coffee_Prices_in_Kenya.pdf](Projecting_Coffee_Prices_in_Kenya.pdf): PDF report summarizing findings.

- [monthly_coffee_prices.csv](monthly_coffee_prices.csv): Resulting dataset from parsing PDF files.

- [pdfs/](pdfs/): Directory of original PDF files.

- [predictions/](predictions/): Directory of CSV files containing predictions for the 2018-2019 session for grade AA, AB, and C coffee.