datasets/google_dei/pipelines/diversity_annual_report/pipeline.yaml (644 lines of code) (raw):
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
---
resources:
- type: bigquery_table
table_id: dar_intersectional_attrition_index
description: "This table contains the attrition index score of Googlers in the U.S. cut by race and gender combined. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_intersectional_hiring
description: "This table contains the breakdown of Googlers hired in the U.S. cut by race and gender combined. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_intersectional_representation
description: "This table contains the representation of Googlers in the U.S. cut by race and gender combined. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_intersectional_exits_representation
description: "This table contains the breakdown of Googler exits in the U.S. cut by race and gender combined. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_non_intersectional_representation
description: "This table contains the representation of Googlers in the U.S. cut by race and gender separately and the representation of global Googlers cut by gender. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_non_intersectional_exits_representation
description: "This table contains the breakdown of Googler exits in the U.S. cut by race and gender separately and the breakdown of global Googler exits cut by gender. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_non_intersectional_attrition_index
description: "This table contains the attrition index score of Googlers in the U.S. cut by race and gender separately and the attrition index score of global Googlers cut by gender. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_non_intersectional_hiring
description: "This table contains the breakdown of Googlers hired in the U.S. cut by race and gender separately and the hiring breakdown of global Googlers cut by gender. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_region_non_intersectional_attrition_index
description: "This table contains the attrition index score of Googlers by region (Americas, APAC, and EMEA) cut by gender. \"Americas\" includes all countries in North and South America in which we operate, excluding the U.S. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_region_non_intersectional_hiring
description: "This table contains the breakdown of Googlers hired by region (Americas, APAC, and EMEA) cut by gender. \"Americas\" includes all countries in North and South America in which we operate, excluding the U.S. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_region_non_intersectional_representation
description: "This table contains the representation of Googlers by region (Americas, APAC, and EMEA) cut by race and gender. \"Americas\" includes all countries in North and South America in which we operate, excluding the U.S. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
- type: bigquery_table
table_id: dar_region_non_intersectional_exits_representation
description: This table contains the breakdown of Googler exits by region (Americas, APAC, and EMEA) cut by gender. “Americas” includes all countries in North and South America in which we operate, excluding the U.S. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value.
deletion_protection: False
- type: bigquery_table
table_id: dar_selfid_representation
description: "This table contains the representation of Googlers globally who identify as LGBTQ+, members of the military or veterans, people with disabilities, or non-binary genders. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
deletion_protection: False
dag:
airflow_version: 2
initialize:
dag_id: diversity_annual_report
default_args:
owner: "Google"
depends_on_past: False
start_date: "2021-05-01"
max_active_runs: 1
schedule_interval: "@once"
catchup: False
default_view: graph
tasks:
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_intersectional_attrition_index_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/intersectional_attrition_index.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_intersectional_attrition_index"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "gender_us"
description: "Gender of Googler exits in the U.S."
type: "string"
mode: "required"
- name: "race_asian"
description: "The attrition index score of Googlers in the U.S. who identify as Asian and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_black"
description: "The attrition index score of Googlers in the U.S. who identify as Black and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The attrition index score of Googlers in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_native_american"
description: "The attrition index score of Googlers in the U.S. who identify as Native American and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_white"
description: "The attrition index score of Googlers in the U.S. who identify as White and zero or more other races"
type: "integer"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_intersectional_hiring_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/intersectional_hiring.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_intersectional_hiring"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "gender_us"
description: "Gender of Googlers hired in the U.S."
type: "string"
mode: "required"
- name: "race_asian"
description: "The percentage of Googlers hired in the U.S. who identify as Asian and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_black"
description: "The percentage of Googlers hired in the U.S. who identify as Black and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The percentage of Googlers hired in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_native_american"
description: "The percentage of Googlers hired in the U.S. who identify as Native American and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_white"
description: "The percentage of Googlers hired in the U.S. who identify as White and zero or more other races"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_intersectional_representation_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/intersectional_representation.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_intersectional_representation"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "gender_us"
description: "Gender of Googlers in the U.S."
type: "string"
mode: "required"
- name: "race_asian"
description: "The percentage of Googlers in the U.S. who identify as Asian and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_black"
description: "The percentage of Googlers in the U.S. who identify as Black and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The percentage of Googlers in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_native_american"
description: "The percentage of Googlers in the U.S. who identify as Native American and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_white"
description: "The percentage of Googlers in the U.S. who identify as White and zero or more other races"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_intersectional_exits_representation_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/intersectional_exits_representation.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_intersectional_exits_representation"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "gender_us"
description: "Gender of Googler exits in the U.S."
type: "string"
mode: "required"
- name: "race_asian"
description: "The percentage of Googler exits in the U.S. who identify as Asian and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_black"
description: "The percentage of Googler exits in the U.S. who identify as Black and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The percentage of Googler exits in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_native_american"
description: "The percentage of Googler exits in the U.S. who identify as Native American and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_white"
description: "The percentage of Googler exits in the U.S. who identify as White and zero or more other races"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_non_intersectional_representation_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/non_intersectional_representation.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_non_intersectional_representation"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "race_asian"
description: "The percentage of Googlers in the U.S. who identify as Asian and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_black"
description: "The percentage of Googlers in the U.S. who identify as Black and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The percentage of Googlers in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_native_american"
description: "The percentage of Googlers in the U.S. who identify as Native American and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_white"
description: "The percentage of Googlers in the U.S. who identify as White and zero or more other races"
type: "float"
mode: "nullable"
- name: "gender_us_women"
description: "The percentage of Googlers in the U.S. who identify as women"
type: "float"
mode: "nullable"
- name: "gender_us_men"
description: "The percentage of Googlers in the U.S. who identify as men"
type: "float"
mode: "nullable"
- name: "gender_global_women"
description: "The percentage of global Googlers who identify as women"
type: "float"
mode: "nullable"
- name: "gender_global_men"
description: "The percentage of global Googlers who identify as men"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_non_intersectional_exits_representation_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/non_intersectional_exits_representation.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_non_intersectional_exits_representation"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "race_asian"
description: "The percentage of Googler exits in the U.S. who identify as Asian and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_black"
description: "The percentage of Googler exits in the U.S. who identify as Black and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The percentage of Googler exits in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_native_american"
description: "The percentage of Googler exits in the U.S. who identify as Native American and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_white"
description: "The percentage of Googler exits in the U.S. who identify as White and zero or more other races"
type: "float"
mode: "nullable"
- name: "gender_us_women"
description: "The percentage of Googler exits in the U.S. who identify as women"
type: "float"
mode: "nullable"
- name: "gender_us_men"
description: "The percentage of Googler exits in the U.S. who identify as men"
type: "float"
mode: "nullable"
- name: "gender_global_women"
description: "The percentage of global Googler exits who identify as women"
type: "float"
mode: "nullable"
- name: "gender_global_men"
description: "The percentage of global Googler exits who identify as men"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_non_intersectional_attrition_index_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/non_intersectional_attrition_index.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_non_intersectional_attrition_index"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "race_asian"
description: "The attrition index score of Googlers in the U.S. who identify as Asian and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_black"
description: "The attrition index score of Googlers in the U.S. who identify as Black and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The attrition index score of Googlers in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_native_american"
description: "The attrition index score of Googlers in the U.S. who identify as Native American and zero or more other races"
type: "integer"
mode: "nullable"
- name: "race_white"
description: "The attrition index score of Googlers in the U.S. who identify as White and zero or more other races"
type: "integer"
mode: "nullable"
- name: "gender_us_women"
description: "The attrition index score of Googlers in the U.S. who are women"
type: "integer"
mode: "nullable"
- name: "gender_us_men"
description: "The attrition index score of Googlers in the U.S. who are men"
type: "integer"
mode: "nullable"
- name: "gender_global_women"
description: "The attrition index score of global Googlers who are women"
type: "integer"
mode: "nullable"
- name: "gender_global_men"
description: "The attrition index score of global Googlers who are men"
type: "integer"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_non_intersectional_hiring_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/non_intersectional_hiring.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_non_intersectional_hiring"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "race_asian"
description: "The percentage of Googlers hired in the U.S. who identify as Asian and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_black"
description: "The percentage of Googlers hired in the U.S. who identify as Black and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_hispanic_latinx"
description: "The percentage of Googlers hired in the U.S. who identify as Hispanic or Latinx and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_native_american"
description: "The percentage of Googlers hired in the U.S. who identify as Native American and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_white"
description: "The percentage of Googlers hired in the U.S. who identify as White and zero or more other races"
type: "float"
mode: "nullable"
- name: "gender_us_women"
description: "The percentage of Googlers hired in the U.S. who are women"
type: "float"
mode: "nullable"
- name: "gender_us_men"
description: "The percentage of Googlers hired in the U.S. who are men"
type: "float"
mode: "nullable"
- name: "gender_global_women"
description: "The percentage of global Googlers hired who are women"
type: "float"
mode: "nullable"
- name: "gender_global_men"
description: "The percentage of global Googlers hired who are men"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_region_non_intersectional_attrition_index_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/region_non_intersectional_attrition_index.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_region_non_intersectional_attrition_index"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "region"
description: "Region"
type: "string"
mode: "required"
- name: "gender_women"
description: "The attrition index score of Googlers in the region who are women"
type: "integer"
mode: "nullable"
- name: "gender_men"
description: "The attrition index score of Googlers in the region who are men"
type: "integer"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_region_non_intersectional_hiring_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/region_non_intersectional_hiring.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_region_non_intersectional_hiring"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "region"
description: "Region"
type: "string"
mode: "required"
- name: "gender_women"
description: "The percentage of Googlers hired in the region who are women"
type: "float"
mode: "nullable"
- name: "gender_men"
description: "The percentage of Googlers hired in the region who are men"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_region_non_intersectional_representation_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/region_non_intersectional_representation.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_region_non_intersectional_representation"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "region"
description: "Region"
type: "string"
mode: "required"
- name: "race_asian"
description: "The percentage of Googlers in the region who identify as Asian and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_black_african"
description: "The percentage of Googlers in the region who identify as Black African and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_hispanic_latino_latinx"
description: "The percentage of Googlers in the region who identify as Hispanic, Latino, or Latinx and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_indigenous"
description: "The percentage of Googlers in the region who identify as Indigenous and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_mena"
description: "The percentage of Googlers in the region who identify as Middle Eastern or North African and zero or more other races"
type: "float"
mode: "nullable"
- name: "race_white_european"
description: "The percentage of Googlers in the region who identify as White or European and zero or more other races"
type: "float"
mode: "nullable"
- name: "gender_women"
description: "The percentage of Googlers in the region who are women"
type: "float"
mode: "nullable"
- name: "gender_men"
description: "The percentage of Googlers in the region who are men"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_region_non_intersectional_exits_representation_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/region_non_intersectional_exits_representation.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_region_non_intersectional_exits_representation"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Overall and sub-categories"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "region"
description: "Region"
type: "string"
mode: "required"
- name: "gender_women"
description: "The percentage of Googler exits in the region who are women"
type: "float"
mode: "nullable"
- name: "gender_men"
description: "The percentage of Googler exits in the region who are men"
type: "float"
mode: "nullable"
- operator: "GoogleCloudStorageToBigQueryOperator"
description: "Task to load CSV data to a BigQuery table"
args:
task_id: "load_selfid_representation_to_bq"
bucket: "{{ var.json.google_dei.storage_bucket }}"
source_objects: ["DAR/2022/selfid_representation.csv"]
source_format: "CSV"
destination_project_dataset_table: "google_dei.dar_selfid_representation"
skip_leading_rows: 1
write_disposition: "WRITE_TRUNCATE"
schema_fields:
- name: "workforce"
description: "Self-identification category. lgbtq: Googlers who self-identify as LGBQ+ and/or Trans+; disability: Googlers who self-identify as having a disability; military: Googlers who self-identify as being or having been members of the military; nonbinary: Googlers who self-identify as non-binary"
type: "string"
mode: "required"
- name: "report_year"
description: "The year the report was published"
type: "integer"
mode: "required"
- name: "global"
description: "The percentage of global Googlers who identify as being part of the self-identification category (i.e., \"workforce\" type)"
type: "float"
mode: "nullable"
graph_paths:
- "load_intersectional_attrition_index_to_bq"
- "load_intersectional_hiring_to_bq"
- "load_intersectional_representation_to_bq"
- "load_intersectional_exits_representation_to_bq"
- "load_non_intersectional_attrition_index_to_bq"
- "load_non_intersectional_hiring_to_bq"
- "load_non_intersectional_representation_to_bq"
- "load_non_intersectional_exits_representation_to_bq"
- "load_region_non_intersectional_attrition_index_to_bq"
- "load_region_non_intersectional_hiring_to_bq"
- "load_region_non_intersectional_representation_to_bq"
- "load_region_non_intersectional_exits_representation_to_bq"
- "load_selfid_representation_to_bq"