Neurohackmap is a project created at Neurohackademy_2019 and is a collection of scripts to generate interactive visualizations of participants education and research training across time.
Documents included are:
- Questionnaire to collect information from participants (saved and imported as .csv)
- Jupyter notebook for cleaning dataframe and creating map based visualizations (Neuromap_code.ipynb)
- Jupyter notebook for plotting mobility across career stages as line maps (line_maps.ipynb, uses line_maps_data.csv)
- Jupyter notebook for calculating and plotting distance traveled as a function of career stage (Plotting_distances.ipynb)
- Jupyter notebook for creating wordcloud visualizations of shared research interests across career stages (wordcloud_neurohackmap_fin09.08.19.ipynb, uses images in the img folder)
- Graphs from spring modeling analysis in the spring_images folder
Use package managers pip or conda to install the following necessary libaries.
install folium, pandas, numpy, geopy, ipyleafletPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update documentation as appropriate.
Antonija Kolobaric, Giacomo Ariani, Hannah Coyle, Johnny Lau, Daria Proklova, Damion V. Demeter