from pheno_utils import PhenoLoader000-population
Population characteristics dataset
Description
Population characteristics of the Human Phenotype Project study participants.
Introduction
Population characteristics of the Human Phenotype Project include basic information about the participants regarding sex, living area, visits to the clinical testing center, and communication status.
Measurement protocol
Upon registration to the Human Phenotype Project, people are assigned with a registration code, which is their ID in the study and provide a telephone number and email by which all communications are conducted. Participants are asked about their date of birth and their sex, and are asked to schedule a visit to the assessment center.
Personal and communication data is saved separately in a secure environment from the population characteristics information, which is saved with the participant designated ID.
Data availability
* population.parquet - contains sex, month and year of birth per participant
Relevant links
pl = PhenoLoader('population')
plPhenoLoader for population with
4 fields
1 tables: ['population']Data dictionary
pl.dict| field_string | description_string | folder_id | feature_set | field_type | strata | data_coding | array | pandas_dtype | bulk_file_extension | relative_location | units | bulk_dictionary | sampling_rate | transformation | list_of_tags | stability | sexed | debut | completed | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tabular_field_name | ||||||||||||||||||||
| month_of_birth | Month of birth | Month of birth | 1 | population | Categorical (single) | Primary | 042_03 | Single | category | NaN | population/population.parquet | NaN | NaN | NaN | NaN | NaN | Accruing | Both sexes | 2019-01-01 | NaN |
| year_of_birth | Year of birth | Year of birth | 1 | population | Integer | Primary | NaN | Single | int | NaN | population/population.parquet | NaN | NaN | NaN | NaN | NaN | Accruing | Both sexes | 2019-01-01 | NaN |
| sex | Sex | Sex | 1 | population | Categorical (single) | Primary | 9 | Single | category | NaN | population/population.parquet | NaN | NaN | NaN | NaN | NaN | Accruing | Both sexes | 2019-01-01 | NaN |
| study_id | Study ID | The study identifier | 1 | population | Categorical (single) | Auxiliary | 000_01 | Single | category | NaN | population/population.parquet | NaN | NaN | NaN | NaN | NaN | Accruing | Both sexes | 2019-01-01 | NaN |