1-population

1 - population

Population characteristics of the Human Phenotype Project study participants including birth month and year, sex and visits information.

The information is stored in 2 parquet files:

population.parquet - contains sex, month and year of birth per participant
events.parquet - also contains information regarding participant visits and calls

from pheno_utils import PhenoLoader

dl = PhenoLoader('population', age_sex_dataset=None)
dl

DataLoader for population with
10 fields
1 tables: ['events']

dl.dict

	field_string	description_string	parent_dataframe	relative_location	value_type	units	sampling_rate	item_type	array	cohorts	data_type	debut	pandas_dtype
tabular_field_name
month_of_birth	Month of birth	Month of birth	NaN	events.parquet	Integer	None	NaN	Data	No	10K	Tabular	2019-01-01	int
year_of_birth	Year of birth	Year of birth	NaN	events.parquet	Integer	None	NaN	Data	No	10K	Tabular	2019-01-01	int
sex	Sex	Sex	NaN	events.parquet	Categorical (single)	None	NaN	Data	No	10K	Tabular	2019-01-01	category
research_stage_type	Research stage type	The type of the research stage	NaN	events.parquet	Categorical (multiple)	None	NaN	Data	No	10K	Tabular	2019-01-01	category
visit_center	Visit center	The name of the assessment center	NaN	events.parquet	Categorical (multiple)	None	NaN	Data	No	10K	Tabular	2019-01-01	category
research_stage_timestamp	Timestamp of research stage	The timestamp of the research stage. For examp...	NaN	events.parquet	Date	None	NaN	Data	No	10K	Tabular	2019-01-01	datetime64[ns, Asia/Jerusalem]
research_stage_date	Date of research stage	The date of the research stage. For example, i...	NaN	events.parquet	Date	None	NaN	Data	No	10K	Tabular	2019-01-01	datetime64[ns]
age_at_research_stage	Age at research stage	The age of the participant during the research...	NaN	events.parquet	Integer	None	NaN	Data	No	10K	Tabular	2019-01-01	float
study_id	Study ID	The study identifier	NaN	events.parquet	Categorical (multiple)	None	NaN	Data	No	10K	Tabular	2019-01-01	category
timezone	Timezone	Timezone	NaN	events.parquet	Date	None	NaN	Data	No	10K	Tabular	2019-01-01	string