DATA: csv demographic data

black

Author: Ipuch

README.md

@@ -98,6 +98,9 @@ on joint movements, particularly shoulder kinematics. Each row within the Joint
 detailed biomechanical parameters such as joint angles, movement types, and postural data, 
 which are linked to the raw data available in the Data Folder for each degree of freedom.
 
+4. The demographic data is included in the `demographic_data.csv` file. 
+It's very sparse, it contains the individual details when available otherwise there are mean, std, min, max values.
+
 ## Dataset colums - `dataset_of_datasets.csv`
 The dataset includes the following columns:
 

setup.py

@@ -1,4 +1,4 @@
-""" Setup.py file """
+"""Setup.py file"""
 
 from setuptools import setup, find_packages
 

spartacus/dataset/demographic_data.csv

@@ -0,0 +1,50 @@
+dataset_id,dataset_authors,dataset_year,in_vivo,shoulder_id,nb_participants,nb_females,nb_males,nb_shoulders,right_shoulders,left_shoulders,dominant,non_dominant,age,age_mean,age_std,age_min,age_max,height,height_mean,height_std,height_min,height_max,mass,mass_mean,mass_std,mass_min,mass_max,bmi,bmi_mean,bmi_std,bmi_min,bmi_max
+#1,Begon et al.,2014,True,1,1,0,1,1,0,1,,,27,,,,,165,,,,,57,,,,,20.9,,,,
+#1,Begon et al.,2014,True,2,1,0,1,1,0,1,,,44,,,,,177,,,,,82,,,,,26.2,,,,
+#2,Bourne et al.,2003,True,,7,,,7,0,7,0,7,,30,5,,,,,,,,,,,,,,,,17,30
+#3,Chu et al.,2012,True,,5,0,5,5,5,0,5,0,,27.8,6.9,,,,181,4.9,,,,77.9,9.5,,,,,,,
+#4,Fung et al.,2001,False,,3,,,5,,,,,,76.3,6.6,,,,,,,,,,,,,,,,,
+#5,Gutierrez Delgado et al.,2017,False,1,1,1,0,1,1,0,1,0,,45,,,,,,,,,,,,,,,,,,
+#6,Henninger et al.,2020,True,1,1,1,,1,1,0,1,0,26,,,,,,163.6,,,,54.7,,,,,20.4,,,,
+#6,Henninger et al.,2020,True,2,1,1,,1,1,0,1,0,27,,,,,,163.8,,,,42.3,,,,,15.8,,,,
+#6,Henninger et al.,2020,True,3,1,0,1,1,1,0,1,0,24,,,,,,191,,,,69.5,,,,,19.1,,,,
+#6,Henninger et al.,2020,True,4,1,1,0,1,1,0,1,0,47,,,,,,172.3,,,,57,,,,,19.2,,,,
+#6,Henninger et al.,2020,True,5,1,0,1,1,1,0,1,0,52,,,,,,173,,,,72.5,,,,,24.2,,,,
+#6,Henninger et al.,2020,True,6,1,0,1,1,1,0,1,0,33,,,,,,166,,,,52.5,,,,,19.1,,,,
+#6,Henninger et al.,2020,True,7,1,0,1,1,1,0,1,0,26,,,,,,173,,,,86.5,,,,,28.9,,,,
+#6,Henninger et al.,2020,True,8,1,1,0,1,1,0,1,0,27,,,,,,166,,,,63.5,,,,,23,,,,
+#6,Henninger et al.,2020,True,9,1,1,0,1,1,0,1,0,51,,,,,,161.1,,,,73.5,,,,,28.3,,,,
+#6,Henninger et al.,2020,True,10,1,0,1,1,1,0,1,0,50,,,,,,185,,,,103,,,,,30.1,,,,
+#6,Henninger et al.,2020,True,11,1,1,0,1,1,0,1,0,60,,,,,,170.4,,,,75.1,,,,,25.9,,,,
+#6,Henninger et al.,2020,True,12,1,1,0,1,1,0,1,0,27,,,,,,160.5,,,,49.5,,,,,19.2,,,,
+#6,Henninger et al.,2020,True,13,1,1,0,1,1,0,1,0,22,,,,,,162,,,,51.5,,,,,19.6,,,,
+#6,Henninger et al.,2020,True,14,1,0,1,1,1,0,1,0,22,,,,,,184.5,,,,68,,,,,20,,,,
+#6,Henninger et al.,2020,True,15,1,0,1,1,1,0,1,0,61,,,,,,180,,,,93.7,,,,,28.9,,,,
+#6,Henninger et al.,2020,True,16,1,1,0,1,1,0,1,0,66,,,,,,168.5,,,,83,,,,,29.2,,,,
+#6,Henninger et al.,2020,True,17,1,0,1,1,1,0,1,0,27,,,,,,184,,,,70.5,,,,,20.8,,,,
+#6,Henninger et al.,2020,True,18,1,0,1,1,1,0,1,0,66,,,,,,176,,,,79,,,,,25.5,,,,
+#6,Henninger et al.,2020,True,19,1,1,0,1,1,0,1,0,63,,,,,,167,,,,63.5,,,,,22.8,,,,
+#6,Henninger et al.,2020,True,20,1,0,1,1,1,0,1,0,62,,,,,,178,,,,89.5,,,,,28.2,,,,
+#7,Karduna et al.,2000,True,,8,3,5,8,1,7,1,7,,32.6,,27,37,,,,,,,,,,,,25.2,,19.1,35.2
+#8,Kijima et al.,2015,True,,7,2,5,7,3,4,,,,62,,55,65,,,,,,,,,,,,,,,
+#9,Kim et al.,2017,True,,15,0,15,15,,,,,,29.5,0.6,22,40,,,,,,,,,,,,,,,
+#10,Kozono et al.,2017,True,,10,0,10,10,10,0,,,,32,,30,37,,,,,,,,,,,,,,,
+#11,Ludewig et al.,2009,True,,12,5,7,12,11,1,2,10,,29.3,6.8,,,,173.6,8.1,,,,77.5,13.8,,,,25.7,4.3,,
+#12,Matsuki et al.,2011,True,,12,0,12,24,12,12,12,12,,32,,27,36,,,,,,,,,,,,,,,
+#13,Matsumura et al.,2013,False,,7,2,5,14,,,,,,86.1,5.5,75,91,,,,,,,,,,,,,,,
+#14,Moissenet et al.,2023,False,1,1,1,0,1,0,1,,,94,,,,,158,,,,,56.4,,,,,22.6,,,,
+#14,Moissenet et al.,2023,False,2,1,1,0,1,1,0,,,94,,,,,158,,,,,56.4,,,,,22.6,,,,
+#14,Moissenet et al.,2023,False,3,1,1,0,1,0,1,,,74,,,,,155,,,,,55,,,,,22.9,,,,
+#14,Moissenet et al.,2023,False,4,1,1,0,1,1,0,,,74,,,,,155,,,,,55,,,,,22.9,,,,
+#14,Moissenet et al.,2023,False,5,1,1,0,1,0,1,,,76,,,,,165,,,,,66,,,,,24.2,,,,
+#14,Moissenet et al.,2023,False,6,1,1,0,1,1,0,,,76,,,,,165,,,,,66,,,,,24.2,,,,
+#14,Moissenet et al.,2023,False,7,1,1,0,1,0,1,,,76,,,,,158,,,,,73,,,,,29.2,,,,
+#14,Moissenet et al.,2023,False,8,1,1,0,1,1,0,,,76,,,,,158,,,,,73,,,,,29.2,,,,
+#14,Moissenet et al.,2023,False,9,1,1,0,1,0,1,,,67,,,,,165,,,,,60,,,,,22,,,,
+#14,Moissenet et al.,2023,False,10,1,1,0,1,1,0,,,67,,,,,165,,,,,60,,,,,22,,,,
+#15,Nishinaka et al.,2008,True,,9,1,8,9,,,,,,31,,27,38,,,,,,,,,,,,,,,
+#16,Oki et al.,2012,False,,8,3,5,14,6,8,,,,76.4,17.7,36,92,,,,,,,,,,,,,,,
+#17,Sahara et al.,2006,True,,7,0,7,14,7,7,,,,23.6,,19,30,,175,6.2,163,180,,,,,,,,,,
+#18,Sugi et al.,2021,True,,18,8,10,35,,,,,,33,,19,47,,,,,,,,,,,,,,,
+#19,Teece et al.,2008,False,,8,,,13,,,,,,63,,31,81,,,,,,,,,,,,,,,
+#20,Yoshida et al.,2023,True,,10,0,10,20,10,10,10,10,,21.6,1.6,20,25,,169.6,5.4,160,179,,63.7,3.4,58,69,,22.2,1.4,20,24.2