All functions

check_job()

Watches a job given a job id

decode_column_names()

Returns cleaned field titles for a cohort dataset

decode_df()

Main Function to Decode Fields from Codings

decode_df_db()

Main Function to Decode Fields from Codings using Duck DB

decode_multi()

Decodes Multi Category variables

decode_multi_large_df()

Decodes large columns of a large data frame by splitting it

decode_multi_purrr()

Decodes Multi Category variables

decode_single()

Decodes variables with single coded entries

detect_list()

Detects lists specified as strings in a data frame

explore_field_list()

Given a data dictionary, displays a searachable table in a quarto document or Jupyter Notebook

extract_data()

Given a dataset id and list of fields, extract data

find_all_cohorts()

Finds all cohorts and their ids in the current project

find_all_datasets()

Find all datasets in the current project

find_all_jobs()

Finds all jobs and executions in current project

find_dataset_id()

Finds the current dataset id in the project

find_fields()

List fields associated with dataset ID

get_coding_table()

Given a dataset id, builds a coding table to decode raw data

get_dictionaries()

Extracts the dictionary files for a dataset id into current project

get_name_from_full_id()

Given a dataset id, finds the dataset name

install_dxpy()

Installs the dx-toolkit into a virtualenv

launch_table_exporter()

Runs Table Exporter

merge_coding_data_dict()

Title

terminate_job()

Terminates a job using job id