Analyse cereal price inflation and for developing countries with data visualisation.
$ pip3 install -r requirements.txt
- Navigate to Global Food Prices Database (WFP) homepage where dataset is hosted and download
wfpvam_foodprices.csv
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')
$ jupyter notebook
Then navigate to browser where the Global Food Prices.ipynb
notebook was launched & execute cells (Cells > Run All)
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.