Cereal Price Inflation Analysis

Analyse cereal price inflation and for developing countries with data visualisation.

How To Run the Inflation Analysis

1. Install package dependency requirements

$ pip3 install -r requirements.txt

2. Download World Food Programme dataset

• Navigate to Global Food Prices Database (WFP) homepage where dataset is hosted and download wfpvam_foodprices.csv

3. Move dataset to expected location

The analysis Jupyter notebook, Global Food Prices.ipynb, expects the dataset to be saved locally in this repository folder at the root level.

If you want to save it in a different location, update Global Food Prices.ipynb to read from the location you saved it to when initializing the dataframe, df:

df = pd.read_csv('/your_path_to/wfpvam_foodprices.csv')

4. Open inflation analysis Jupyter notebook

$ jupyter notebook

Then navigate to browser where the Global Food Prices.ipynb notebook was launched & execute cells (Cells > Run All)

5. (Optional) Modify analysis timeframe according to your needs

Currently, the inflation analysis is conducted on a 6 month horizon, with start month October 2020 and end month April 2021. However, if you'd like to change the time window of analysis or start and end month, modify accordingly.