French Social Contact Data by Kaggle | Demographics and Population Studies

About this Dataset

French Social Contact Data

A Study of 1755 Participants and their Household Contacts (2015)

About this dataset

This dataset provides a comprehensive exploration of contacts and interactions among 1755 participants in France in 2015, giving insights into the social behaviour of French households. With detailed information on contact locations, the gender and ages of contacts, the frequency and duration of interactions with each contact, as well as the number of people within a household, this data set covers a variety of factors which govern human interaction. By analyzing this data set we can better understand how social networks are formed among families and individuals in different communities. It is an essential guide to understanding how behaviour has changed over time and across different cultures. This dataset allows us to gain new perspectives on how various factors shape our relationships with others at home or out in society

More Datasets

For more datasets, click here.

Featured Notebooks

🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides a comprehensive collection of data regarding household contacts, social contact networks, and other individual characteristics in France in 2015. The data was collected by Antoine Beraud and his research team between July 2014 and February 2015.

This dataset is ideal for use as an exploratory tool to investigate how different contact factors (age, gender, location, frequency of contact) interact with each other. It can also be used to investigate variations in social contact behavior across France's cities or regions. Additionally, this dataset can be used to study the influence of certain individual characteristics (e.g., age or gender) on one's overall pattern of social contacts and household compositions.

Here are some useful tips for using this dataset:
• Explore patterns such as how ages interact with frequency of contacts within your analyses
• Consider grouping participants across different metropolitian areas when studying regional variations
• Make sure to identify any outliers when looking at average values across the board
• Focus on exploring specific sections before looking at the larger picture

Research Ideas

Measuring the impact of different types of contact within a household such as gender, age range and frequency on the risk of infection spread in France

Examining correlations between sociodemographic factors such as household size, geographical location and contact patterns in France.

Analyzing how changing physical distancing restrictions affects contact patterns by comparing pre-pandemic data with current social isolation trends

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: 2015_Beraud_France_contact_common.csv

Column name	Description
cnt_age_exact	The exact age of the contact. (Numeric)
cnt_age_est_min	The estimated minimum age of the contact. (Numeric)
cnt_age_est_max	The estimated maximum age of the contact. (Numeric)
cnt_gender	The gender of the contact. (Categorical)
cnt_home	The frequency of contact at home. (Numeric)
cnt_work	The frequency of contact at work. (Numeric)
cnt_school	The frequency of contact at school. (Numeric)
cnt_transport	The frequency of contact on public transport. (Numeric)
cnt_leisure	The frequency of contact during leisure activities. (Numeric)
cnt_otherplace	The frequency of contact at other places. (Numeric)
frequency_multi	The frequency of contact with multiple people. (Numeric)
phys_contact	Whether physical contact occurred. (Categorical)
duration_multi	The duration of contact with multiple people. (Numeric)

File: 2015_Beraud_France_hh_common.csv

Column name	Description
country	Country of residence of the participant. (String)
hh_size	Number of people in the participant's household. (Integer)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

N 2015 Beraud France Contact Common

@kaggle.thedevastator_french_social_contact_data.n_2015_beraud_france_contact_common

393.24 KB
38881 rows
15 columns


CREATE TABLE n_2015_beraud_france_contact_common (
  "part_id" BIGINT,
  "cont_id" VARCHAR,
  "cnt_age_exact" DOUBLE,
  "cnt_age_est_min" DOUBLE,
  "cnt_age_est_max" DOUBLE,
  "cnt_gender" VARCHAR,
  "cnt_home" VARCHAR,
  "cnt_work" BOOLEAN,
  "cnt_school" BOOLEAN,
  "cnt_transport" BOOLEAN,
  "cnt_leisure" BOOLEAN,
  "cnt_otherplace" BOOLEAN,
  "frequency_multi" DOUBLE,
  "phys_contact" DOUBLE,
  "duration_multi" DOUBLE
);

N 2015 Beraud France Contact Extra

@kaggle.thedevastator_french_social_contact_data.n_2015_beraud_france_contact_extra

242.49 KB
38881 rows
3 columns


CREATE TABLE n_2015_beraud_france_contact_extra (
  "cont_id" VARCHAR,
  "wave" BIGINT,
  "studyday" BIGINT
);

N 2015 Beraud France Hh Common

@kaggle.thedevastator_french_social_contact_data.n_2015_beraud_france_hh_common

2.56 KB
1 row
3 columns


CREATE TABLE n_2015_beraud_france_hh_common (
  "hh_id" VARCHAR,
  "country" VARCHAR,
  "hh_size" BIGINT
);

N 2015 Beraud France Hh Extra

@kaggle.thedevastator_french_social_contact_data.n_2015_beraud_france_hh_extra

7.17 KB
1 row
11 columns


CREATE TABLE n_2015_beraud_france_hh_extra (
  "hh_id" VARCHAR,
  "hh_age_1" BIGINT,
  "hh_age_2" BIGINT,
  "hh_age_3" BIGINT,
  "hh_age_4" BIGINT,
  "hh_age_5" BIGINT,
  "hh_age_6" VARCHAR,
  "hh_age_7" VARCHAR,
  "hh_age_8" VARCHAR,
  "hh_age_9" VARCHAR,
  "hh_age_10" VARCHAR
);

N 2015 Beraud France Participant Common

@kaggle.thedevastator_french_social_contact_data.n_2015_beraud_france_participant_common

14.69 KB
1755 rows
4 columns


CREATE TABLE n_2015_beraud_france_participant_common (
  "part_id" BIGINT,
  "hh_id" VARCHAR,
  "part_age" BIGINT,
  "part_gender" VARCHAR
);

N 2015 Beraud France Participant Extra

@kaggle.thedevastator_french_social_contact_data.n_2015_beraud_france_participant_extra

73.47 KB
2033 rows
41 columns


CREATE TABLE n_2015_beraud_france_participant_extra (
  "part_id" BIGINT,
  "wave_part_id" BIGINT,
  "wave" BIGINT,
  "questionnaire_type" BIGINT,
  "childrespondentlink" DOUBLE,
  "childrespondentage" DOUBLE,
  "childrespondentgender" DOUBLE,
  "transportmodeweek1" BIGINT,
  "transportmodeweek2" BIGINT,
  "transportmodeweek3" BIGINT,
  "transportmodeweekend1" BIGINT,
  "transportmodeweekend2" BIGINT,
  "transportmodeweekend3" BIGINT,
  "zip" BIGINT,
  "participant_education" DOUBLE,
  "participant_occupation" DOUBLE,
  "participant_occ_detail" DOUBLE,
  "enfscolarise" DOUBLE,
  "enfgardemaison" DOUBLE,
  "enfgardenounou" DOUBLE,
  "enfnbenfnounou" DOUBLE,
  "enfnounouscolarise" DOUBLE,
  "enfcreche" DOUBLE,
  "enfnbenfcreche" DOUBLE,
  "enffreqgarderie" DOUBLE,
  "class_size" DOUBLE,
  "enfcantine" DOUBLE,
  "enfcentreaere" DOUBLE,
  "enfcentreaereecole" DOUBLE,
  "enfcentreaerevacance" DOUBLE,
  "work_contacts" DOUBLE,
  "more20contactpro" DOUBLE,
  "work_contacts_nr" DOUBLE,
  "agecontactpro1" BIGINT,
  "agecontactpro2" BIGINT,
  "agecontactpro3" BIGINT,
  "agecontactpro4" BIGINT,
  "agecontactpro5" BIGINT,
  "nbstudentclassroom" DOUBLE,
  "studentcantina" DOUBLE,
  "commonparticip" BIGINT
);

N 2015 Beraud France Sday

@kaggle.thedevastator_french_social_contact_data.n_2015_beraud_france_sday

28.53 KB
4066 rows
9 columns


CREATE TABLE n_2015_beraud_france_sday (
  "part_id" BIGINT,
  "sday_id" BIGINT,
  "wave" BIGINT,
  "studyday" BIGINT,
  "day" BIGINT,
  "month" BIGINT,
  "year" BIGINT,
  "dayofweek" DOUBLE,
  "holiday" BIGINT
);