rileynwong/forecasting-coffee-prices

Predict coffee prices in Kenya # 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 for data scraping and Prophet for time-series forecasting. For easy viewing: - NBViewer for PDF_to_CSV.ipynb - NBViewer for 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: Jupyter notebook that parses and cleans the data from the PDF files into a CSV file. - 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: PDF report summarizing findings. - monthly_coffee_prices.csv: Resulting dataset from parsing PDF files. - pdfs/: Directory of original PDF files. - predictions/: Directory of CSV files containing predictions for the 2018-2019 session for grade AA, AB, and C coffee.