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Notebook

The notebooks using folium package were developed with the version 0.1.6.
Some part of the code will probably not work with the most recent versions, since some functions were deprecated (e.g., folium.map.geojson).

Tool Description
abstract_time_bokeh Bokeh plot of the time series of abstract received.
abstract_time_highchart Create highcharts plots of the abstract time series using pandas-highcharts.
abstract_time Read the list of abstracts and generate a time series plot.
compute_participant_distance Compute the total distance traveled by each participant.
parse-Colloquium-publications Extract author information and article title using journal web page.
plot_abstracts_map Create participation map using the IP from the lists of abstract.
plot_folium_abstract_map Create a map with the countries color according to the number of received abstracts.
plot_folium_hotels Create interactive leaflet map with the hotels and the interesting locations.
read_csv_participants Read participant information from CSV file.

Participation maps

Specifically for the preparation of this map, one needs to

  1. Convert the list of participants (with affiliation) to a list of coordinates, using the tool get_coordinates_from_participant_list.
  2. Use the list of coordinates to create a geoJSON file with the countries and the corresponding number of attendees. count_countries

Note that there is a lot of missing data from 1990 to 1996 ad from 1998 to 1999.

Wordle

The Wordle is based on the list of topics (file topic.md) with the tool word_count.ipynb.