epfl-dlab / foodle-trends Goto Github PK

    Contains the datasets necessary to reproduce the results.
    In particular, it contains:

    1. Aggregated dataframes:
    'df_agg_cats.pickle' contains Google Trends attention timeseries for foods belonging to different categories.
    ‘df_agg_modes.pickle’ contains Google Trends attention timeseries for foods belonging to different ways of accessing food.


    2. Raw dataframes:
    ‘food_timeseries.parquet’
    ‘modes_timeseries.parquet’


    3. Mobility dataframes:
    ‘df_mobility.csv ‘ is a dataset with mobility data, per day, per country, downloaded from https://www.google.com/covid19/mobility/

    Once the code is evaluated, the figures are stored here.

            This folder contains all the code necessary for reproducing the results reported in the manuscript.
            The code is in the format of Jupyter notebooks. Once the notebook is evaluated, figures are saved in the figures folder, in pdf format. The input for the analyses is loaded from foodle-trends/data folder. The main results are computed in Notebooks 1-4.
            Please see which figure is produced in the corresponding notebook:
            Maps.ipynb: Fig 1B and 1B
            Notebook_1.ipynb: Fig 3A, Fig 6, Fig 7B, Fig S5, Fig S8, Fig S10, Fig S12B
            Notebook_2.ipynb: Fig 5, Fig 7A, Fig S12A
            Notebook_3.ipynb: Fig 3B, Fig 4B, Fig S2A
            Notebook_4.ipynb: Fig 4A, Fig S2B
            Table_1.ipynb: Table 1
            Table_2.ipynb: Table 2
            
            All notebooks except Notebook_1.ipynb are expected to evaluate all cells within a couple of minutes.
            Notebook_1.ipynb can take around 10 minutes to evaluate.
            Code for producing other, supplementary figures and tables is here.
            Each notebook is titled after the figure or table it produces.

                            Fig_S1.ipynb
                            Fig_S11a.ipynb
                            Fig_S11b.ipynb
                            Fig_S3a.ipynb
                            Fig_S3b_S6.ipynb
                            Fig_S4a.ipynb
                            Fig_S4b_S7.ipynb
                            Fig_S9a.ipynb
                            Fig_S9b_Tab1.ipynb
                            Table_S1.ipynb
                            Table_S2.ipynb