GoogleCloudPlatform / public-datasets-pipelines
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

Overview
File Change Frequency Overall
  • There are 993 files with 104,747 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 19 files changed 6-20 times (10,019 lines of code)
    • 974 files changed 1-5 times (94,728 lines of code)
0% | 0% | 0% | 9% | 90%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 993 files with 104,747 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 1 file changed by 6-10 contributors (399 lines of code)
    • 279 files changed by 2-5 contributors (47,262 lines of code)
    • 713 files changed by 1 contributor (57,086 lines of code)
0% | 0% | <1% | 45% | 54%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
tf, yaml, py, json, txt, jinja2, md, ipynb, sql, gitignore, toml
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
yaml0% | 0% | 0% | 15% | 84%
py0% | 0% | 0% | 7% | 92%
tf0% | 0% | 0% | 2% | 97%
jinja20% | 0% | 0% | 27% | 72%
toml0% | 0% | 0% | 100% | 0%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
datasets0% | 0% | 0% | 8% | 91%
scripts0% | 0% | 0% | 87% | 12%
templates0% | 0% | 0% | 27% | 72%
ROOT0% | 0% | 0% | 100% | 0%
Most Frequently Changed Files (Top 50)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
deploy_dag.py
in scripts
 426 19 2021-04-28 2022-07-11 15 2 adlersantos@google.com adlersantos@google.com
generate_dag.py
in scripts
 249 25 2021-04-28 2022-08-17 14 3 adlersantos@google.com 40373100+alick-at-looker@us...
pipeline.yaml
in datasets/noaa/pipelines/noaa
 2963 - 2022-06-10 2024-08-29 13 2 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/thelook_ecommerce/pipelines/thelook_ecommerce
 399 - 2022-02-28 2024-11-11 11 6 40373100+alick-at-looker@us... nlarge@xwf.google.com
csv_transform.py
in datasets/noaa/pipelines/_images/run_csv_transform_kub
 1960 52 2022-06-10 2024-08-29 11 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
54 - 2022-03-15 2022-11-10 10 4 happyhuman@users.noreply.gi... bot@renovateapp.com
327 21 2021-04-26 2022-06-29 10 1 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq
 1611 - 2022-03-24 2025-01-29 9 5 adlersantos@google.com afalam@google.com
jinja2
google_bigquery_table.tf.jinja2
in templates/terraform
 50 - 2021-06-04 2022-08-03 7 1 adlersantos@google.com adlersantos@google.com
copy_tcia_data_dag.py
in datasets/idc/pipelines/copy_tcia_data
 61 - 2022-02-10 2023-01-31 7 2 adlersantos@google.com 84149918+nlarge-google@user...
dataset.yaml
in datasets/idc/pipelines
 65 - 2022-02-10 2023-01-31 7 2 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/idc/pipelines/copy_tcia_data
 67 - 2022-02-10 2023-01-31 7 2 adlersantos@google.com 84149918+nlarge-google@user...
csv_transform.py
in datasets/google_political_ads/pipelines/_images/run_csv_transform_kub
 136 8 2022-02-10 2025-01-29 7 3 adlersantos@google.com afalam@google.com
thelook_ecommerce_dag.py
in datasets/thelook_ecommerce/pipelines/thelook_ecommerce
 246 - 2022-02-28 2024-11-11 7 4 40373100+alick-at-looker@us... nlarge@xwf.google.com
jinja2
google_storage_bucket.tf.jinja2
in templates/terraform
 48 - 2021-04-28 2022-08-03 6 1 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/cloud_storage_geo_index/pipelines/cloud_storage_geo_index
 165 - 2022-06-02 2024-08-08 6 2 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/iowa_liquor_sales/pipelines/sales
 244 - 2022-02-10 2024-11-04 6 5 adlersantos@google.com nlarge@xwf.google.com
idc_dataset.tf
in datasets/idc/infra
 378 - 2022-02-10 2022-11-08 6 1 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/new_york/pipelines/new_york
 570 - 2022-04-08 2024-08-08 6 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
cloud_storage_geo_index_dag.py
in datasets/cloud_storage_geo_index/pipelines/cloud_storage_geo_index
 75 - 2022-06-02 2024-08-08 5 2 84149918+nlarge-google@user... 84149918+nlarge-google@user...
data_by_province_dag.py
in datasets/covid19_italy/pipelines/data_by_province
 97 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/uniref50/pipelines/uniref50
 104 - 2022-08-29 2024-08-08 5 2 95613561+gkodukula@users.no... 84149918+nlarge-google@user...
national_trends_dag.py
in datasets/covid19_italy/pipelines/national_trends
 149 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_italy/pipelines/data_by_province
 152 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
data_by_region_dag.py
in datasets/covid19_italy/pipelines/data_by_region
 159 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_italy/pipelines/national_trends
 164 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_italy/pipelines/data_by_region
 194 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
covid19_symptom_search_dag.py
in datasets/covid19_symptom_search/pipelines/covid19_symptom_search
 238 - 2022-11-16 2024-10-17 5 2 43952040+naveen130@users.no... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_symptom_search/pipelines/covid19_symptom_search
 241 - 2022-11-16 2024-10-17 5 2 43952040+naveen130@users.no... 84149918+nlarge-google@user...
sales_dag.py
in datasets/iowa_liquor_sales/pipelines/sales
 243 - 2022-02-10 2024-11-04 5 4 adlersantos@google.com nlarge@xwf.google.com
csv_transform.py
in datasets/hacker_news/pipelines/_images/run_csv_transform_kub
 254 9 2022-11-14 2024-11-15 5 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
csv_transform.py
in datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub
 626 23 2022-02-10 2022-10-26 5 2 adlersantos@google.com 84149918+nlarge-google@user...
fake.py
in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub
 717 25 2022-02-28 2023-08-04 5 3 40373100+alick-at-looker@us... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality
 1696 - 2022-04-08 2024-08-08 5 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
jinja2
variables.tf.jinja2
in templates/terraform
 23 - 2021-04-28 2022-08-03 4 1 adlersantos@google.com adlersantos@google.com
solar_forecasting_dag.py
in datasets/eumetsat/pipelines/solar_forecasting
 38 - 2022-02-10 2023-04-05 4 2 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/eumetsat/pipelines/solar_forecasting
 44 - 2022-02-10 2023-04-05 4 2 adlersantos@google.com 84149918+nlarge-google@user...
cpsaat18_dag.py
in datasets/bls/pipelines/cpsaat18
 46 - 2022-02-10 2025-02-18 4 3 adlersantos@google.com afalam@google.com
jinja2
google_bigquery_dataset.tf.jinja2
in templates/terraform
 46 - 2021-06-24 2022-08-03 4 2 adlersantos@google.com adlersantos@google.com
mobility_report_dag.py
in datasets/covid19_google_mobility/pipelines/mobility_report
 52 - 2022-02-10 2024-10-14 4 2 adlersantos@google.com 84149918+nlarge-google@user...
reviews_dag.py
in datasets/imdb/pipelines/reviews
 133 - 2022-06-16 2024-10-28 4 3 106806401+vijay-google@user... nlarge@xwf.google.com
pipeline.yaml
in datasets/hacker_news/pipelines/full
 145 - 2022-11-14 2024-11-15 4 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
full_dag.py
in datasets/hacker_news/pipelines/full
 172 - 2022-11-14 2024-11-15 4 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
csv_transform.py
in datasets/fec/pipelines/_images/run_csv_transform_kub
 287 14 2022-09-27 2022-10-18 4 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
austin_dag.py
in datasets/austin/pipelines/austin
 299 - 2022-11-07 2024-10-10 4 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/uniref50/pipelines/_images/run_csv_transform_kub
 310 10 2022-08-29 2024-08-08 4 2 95613561+gkodukula@users.no... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/cms_medicare/pipelines/inpatient_charges
 441 - 2022-02-10 2024-10-14 4 2 adlersantos@google.com 84149918+nlarge-google@user...
csv_transform.py
in datasets/new_york_taxi_trips/pipelines/_images/run_csv_transform_kub
 495 17 2022-06-16 2022-09-01 4 2 84149918+nlarge-google@user... 84149918+nlarge-google@user...
inpatient_charges_dag.py
in datasets/cms_medicare/pipelines/inpatient_charges
 536 - 2022-02-10 2024-10-14 4 2 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/libraries_io/pipelines/repositories
 717 - 2022-12-09 2024-11-04 4 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
Files With Most Contributors (Top 50)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
pipeline.yaml
in datasets/thelook_ecommerce/pipelines/thelook_ecommerce
 399 - 2022-02-28 2024-11-11 11 6 40373100+alick-at-looker@us... nlarge@xwf.google.com
pipeline.yaml
in datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq
 1611 - 2022-03-24 2025-01-29 9 5 adlersantos@google.com afalam@google.com
pipeline.yaml
in datasets/iowa_liquor_sales/pipelines/sales
 244 - 2022-02-10 2024-11-04 6 5 adlersantos@google.com nlarge@xwf.google.com
54 - 2022-03-15 2022-11-10 10 4 happyhuman@users.noreply.gi... bot@renovateapp.com
thelook_ecommerce_dag.py
in datasets/thelook_ecommerce/pipelines/thelook_ecommerce
 246 - 2022-02-28 2024-11-11 7 4 40373100+alick-at-looker@us... nlarge@xwf.google.com
sales_dag.py
in datasets/iowa_liquor_sales/pipelines/sales
 243 - 2022-02-10 2024-11-04 5 4 adlersantos@google.com nlarge@xwf.google.com
generate_dag.py
in scripts
 249 25 2021-04-28 2022-08-17 14 3 adlersantos@google.com 40373100+alick-at-looker@us...
csv_transform.py
in datasets/google_political_ads/pipelines/_images/run_csv_transform_kub
 136 8 2022-02-10 2025-01-29 7 3 adlersantos@google.com afalam@google.com
csv_transform.py
in datasets/hacker_news/pipelines/_images/run_csv_transform_kub
 254 9 2022-11-14 2024-11-15 5 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
fake.py
in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub
 717 25 2022-02-28 2023-08-04 5 3 40373100+alick-at-looker@us... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_italy/pipelines/national_trends
 164 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
national_trends_dag.py
in datasets/covid19_italy/pipelines/national_trends
 149 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_italy/pipelines/data_by_region
 194 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
data_by_region_dag.py
in datasets/covid19_italy/pipelines/data_by_region
 159 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_italy/pipelines/data_by_province
 152 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
data_by_province_dag.py
in datasets/covid19_italy/pipelines/data_by_province
 97 - 2022-02-10 2024-10-14 5 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/hacker_news/pipelines/full
 145 - 2022-11-14 2024-11-15 4 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
full_dag.py
in datasets/hacker_news/pipelines/full
 172 - 2022-11-14 2024-11-15 4 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
reviews_dag.py
in datasets/imdb/pipelines/reviews
 133 - 2022-06-16 2024-10-28 4 3 106806401+vijay-google@user... nlarge@xwf.google.com
cpsaat18_dag.py
in datasets/bls/pipelines/cpsaat18
 46 - 2022-02-10 2025-02-18 4 3 adlersantos@google.com afalam@google.com
pipeline.yaml
in datasets/libraries_io/pipelines/repositories
 717 - 2022-12-09 2024-11-04 4 3 95613561+gkodukula@users.no... nlarge@xwf.google.com
food_events_dag.py
in datasets/fda_food/pipelines/food_events
 132 - 2022-02-10 2024-10-30 3 3 adlersantos@google.com afalam@google.com
food_enforcement_dag.py
in datasets/fda_food/pipelines/food_enforcement
 202 - 2022-02-10 2024-10-30 3 3 adlersantos@google.com afalam@google.com
pipeline.yaml
in datasets/open_buildings/pipelines/open_buildings
 199 - 2022-08-29 2024-11-13 3 3 84149918+nlarge-google@user... nlarge@xwf.google.com
pipeline.yaml
in datasets/open_targets/pipelines/copy_platform_data
 37 - 2022-04-29 2023-07-17 3 3 95613561+gkodukula@users.no... 84149918+nlarge-google@user...
copy_platform_data_dag.py
in datasets/open_targets/pipelines/copy_platform_data
 37 - 2022-04-29 2023-07-17 3 3 95613561+gkodukula@users.no... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/open_targets/pipelines/copy_genetics_data
 37 - 2022-04-29 2023-07-17 3 3 95613561+gkodukula@users.no... 84149918+nlarge-google@user...
copy_genetics_data_dag.py
in datasets/open_targets/pipelines/copy_genetics_data
 37 - 2022-04-29 2023-07-17 3 3 95613561+gkodukula@users.no... 84149918+nlarge-google@user...
csv_transform.py
in datasets/iowa_liquor_sales/pipelines/_images/run_csv_transform_kub
 129 8 2022-02-10 2024-08-09 3 3 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/imdb/pipelines/interfaces
 479 - 2022-07-08 2024-10-28 3 3 106806401+vijay-google@user... nlarge@xwf.google.com
interfaces_dag.py
in datasets/imdb/pipelines/interfaces
 528 - 2022-07-08 2024-10-28 3 3 106806401+vijay-google@user... nlarge@xwf.google.com
census_opportunity_atlas_dataset.tf
in datasets/census_opportunity_atlas/infra
 23 - 2022-02-10 2022-08-29 3 3 adlersantos@google.com 43952040+naveen130@users.no...
csv_transform.py
in datasets/city_health_dashboard/pipelines/_images/run_csv_transform_kub
 459 16 2022-02-10 2022-10-19 3 3 adlersantos@google.com 95613561+gkodukula@users.no...
pipeline.yaml
in datasets/google_trends/pipelines/copy_trends_data
 35 - 2022-03-31 2025-01-17 3 3 adlersantos@google.com afalam@google.com
copy_trends_data_dag.py
in datasets/google_trends/pipelines/copy_trends_data
 33 - 2022-03-31 2025-01-17 3 3 adlersantos@google.com afalam@google.com
deploy_dag.py
in scripts
 426 19 2021-04-28 2022-07-11 15 2 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/noaa/pipelines/noaa
 2963 - 2022-06-10 2024-08-29 13 2 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/idc/pipelines/copy_tcia_data
 67 - 2022-02-10 2023-01-31 7 2 adlersantos@google.com 84149918+nlarge-google@user...
copy_tcia_data_dag.py
in datasets/idc/pipelines/copy_tcia_data
 61 - 2022-02-10 2023-01-31 7 2 adlersantos@google.com 84149918+nlarge-google@user...
dataset.yaml
in datasets/idc/pipelines
 65 - 2022-02-10 2023-01-31 7 2 adlersantos@google.com 84149918+nlarge-google@user...
pipeline.yaml
in datasets/cloud_storage_geo_index/pipelines/cloud_storage_geo_index
 165 - 2022-06-02 2024-08-08 6 2 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub
 626 23 2022-02-10 2022-10-26 5 2 adlersantos@google.com 84149918+nlarge-google@user...
covid19_symptom_search_dag.py
in datasets/covid19_symptom_search/pipelines/covid19_symptom_search
 238 - 2022-11-16 2024-10-17 5 2 43952040+naveen130@users.no... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/covid19_symptom_search/pipelines/covid19_symptom_search
 241 - 2022-11-16 2024-10-17 5 2 43952040+naveen130@users.no... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/uniref50/pipelines/uniref50
 104 - 2022-08-29 2024-08-08 5 2 95613561+gkodukula@users.no... 84149918+nlarge-google@user...
cloud_storage_geo_index_dag.py
in datasets/cloud_storage_geo_index/pipelines/cloud_storage_geo_index
 75 - 2022-06-02 2024-08-08 5 2 84149918+nlarge-google@user... 84149918+nlarge-google@user...
jinja2
google_bigquery_dataset.tf.jinja2
in templates/terraform
 46 - 2021-06-24 2022-08-03 4 2 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/cms_medicare/pipelines/inpatient_charges
 441 - 2022-02-10 2024-10-14 4 2 adlersantos@google.com 84149918+nlarge-google@user...
inpatient_charges_dag.py
in datasets/cms_medicare/pipelines/inpatient_charges
 536 - 2022-02-10 2024-10-14 4 2 adlersantos@google.com 84149918+nlarge-google@user...
mobility_report_dag.py
in datasets/covid19_google_mobility/pipelines/mobility_report
 52 - 2022-02-10 2024-10-14 4 2 adlersantos@google.com 84149918+nlarge-google@user...
Files With Least Contributors (Top 50)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
__init__.py
in datasets
 1 -
pipeline.yaml
in datasets/merfish/pipelines/cell_by_gene
 2637 - 2022-08-23 2022-08-23 1 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
csv_transform.py
in datasets/noaa/pipelines/_images/run_csv_transform_kub
 1960 52 2022-06-10 2024-08-29 11 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality_full_load
 1795 - 2022-06-06 2022-10-26 2 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
cell_by_gene_dag.py
in datasets/merfish/pipelines/cell_by_gene
 1737 - 2022-08-23 2022-08-23 1 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
pipeline.yaml
in datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality
 1696 - 2022-04-08 2024-08-08 5 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/san_francisco/pipelines/_images/run_csv_transform_kub
 1525 47 2022-09-28 2023-08-07 3 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/san_francisco/pipelines/san_francisco
 1308 - 2022-09-28 2023-08-07 4 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
chembl_30_pipeline.tf
in datasets/ebi_chembl/infra
 1200 - 2022-09-02 2022-09-02 1 1 106806401+vijay-google@user... 106806401+vijay-google@user...
census_bureau_acs_pipeline.tf
in datasets/census_bureau_acs/infra
 1185 - 2022-07-08 2022-07-08 1 1 43952040+naveen130@users.no... 43952040+naveen130@users.no...
pipeline.yaml
in datasets/nppes/pipelines/nppes
 746 - 2023-03-10 2024-08-08 2 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/austin/pipelines/austin
 745 - 2022-11-07 2024-10-10 4 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/new_york/pipelines/_images/run_csv_transform_kub
 667 31 2022-10-26 2022-10-26 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/google_dei/pipelines/diversity_annual_report
 644 - 2022-02-10 2022-05-23 3 1 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/new_york/pipelines/new_york
 570 - 2022-04-08 2024-08-08 6 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/us_climate_normals/pipelines/_images/run_csv_transform_kub
 557 21 2024-08-09 2024-08-09 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/vqa/pipelines/_images/run_csv_transform_kub
 550 19 2024-08-09 2024-08-09 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/census_bureau_international/pipelines/midyear_population_age_sex
 503 - 2024-08-09 2024-08-09 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/nhtsa_traffic_fatalities/pipelines/_images/run_csv_transform_kub
 497 19 2022-08-25 2022-08-25 1 1 97876264+aurogoogle@users.n... 97876264+aurogoogle@users.n...
epa_historical_air_quality_pipeline.tf
in datasets/epa_historical_air_quality/infra
 480 - 2022-04-08 2022-04-08 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/austin/pipelines/_images/run_csv_transform_kub
 383 16 2022-11-07 2024-10-10 3 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
idc_dataset.tf
in datasets/idc/infra
 378 - 2022-02-10 2022-11-08 6 1 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/nih_gudid/pipelines/nih_gudid
 375 - 2022-11-29 2022-11-29 1 1 106806401+vijay-google@user... 106806401+vijay-google@user...
csv_transform.py
in datasets/new_york_taxi_trips/_images/run_csv_transform_kub
 375 14 2022-06-16 2022-06-16 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
tree_census_2005_dag.py
in datasets/new_york_trees/pipelines/tree_census_2005
 363 - 2022-05-19 2022-05-19 1 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
csv_transform.py
in datasets/nppes/pipelines/_images/run_csv_transform_kub
 358 12 2023-03-10 2024-08-08 2 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
327 21 2021-04-26 2022-06-29 10 1 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq
 316 - 2022-02-10 2022-02-10 1 1 adlersantos@google.com adlersantos@google.com
csv_transform.py
in datasets/clemson_dice_traffic_vision/pipelines/_images/run_csv_transform_kub
 312 12 2024-08-09 2024-08-09 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
tree_census_2015_dag.py
in datasets/new_york_trees/pipelines/tree_census_2015
 300 - 2022-05-19 2022-05-19 1 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
austin_dag.py
in datasets/austin/pipelines/austin
 299 - 2022-11-07 2024-10-10 4 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/fec/pipelines/_images/run_csv_transform_kub
 287 14 2022-09-27 2022-10-18 4 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
script.py
in datasets/cloud_datasets/pipelines/_images/pdp_extract_tabular_metadata
 282 20 2022-09-09 2022-10-07 2 1 happyhuman@users.noreply.gi... happyhuman@users.noreply.gi...
pipeline.yaml
in datasets/new_york_trees/pipelines/tree_census_2005
 282 - 2022-05-19 2022-05-19 1 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
csv_transform.py
in datasets/covid19_jhu_csse/pipelines/_images/run_csv_transform_kub
 269 17 2022-11-07 2022-11-07 1 1 43952040+naveen130@users.no... 43952040+naveen130@users.no...
pipeline.yaml
in datasets/london_bicycles/pipelines/london_bicycles
 253 - 2023-05-03 2024-10-16 2 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
csv_transform.py
in datasets/noaa_passive_bioacoustic/pipelines/_images/run_csv_transform_kub
 251 10 2022-09-07 2022-09-07 1 1 43952040+naveen130@users.no... 43952040+naveen130@users.no...
csv_transform.py
in datasets/usda_nass_agriculture/pipelines/_images/run_csv_transform_kub
 244 13 2022-12-09 2022-12-09 1 1 43952040+naveen130@users.no... 43952040+naveen130@users.no...
solar_potential_by_censustract_dag.py
in datasets/sunroof_solar/pipelines/solar_potential_by_censustract
 238 - 2022-02-10 2022-02-10 1 1 adlersantos@google.com adlersantos@google.com
solar_potential_by_postal_code_dag.py
in datasets/sunroof_solar/pipelines/solar_potential_by_postal_code
 238 - 2022-02-10 2022-02-10 1 1 adlersantos@google.com adlersantos@google.com
nih_gudid_dag.py
in datasets/nih_gudid/pipelines/nih_gudid
 237 - 2022-11-29 2022-11-29 1 1 106806401+vijay-google@user... 106806401+vijay-google@user...
pipeline.yaml
in datasets/new_york_trees/pipelines/tree_census_2015
 229 - 2022-05-19 2022-05-19 1 1 95613561+gkodukula@users.no... 95613561+gkodukula@users.no...
pdp_extract_tabular_metadata_pipeline.tf
in datasets/cloud_datasets/infra
 227 - 2022-09-09 2022-10-07 2 1 happyhuman@users.noreply.gi... happyhuman@users.noreply.gi...
csv_transform.py
in datasets/fda_drug/pipelines/_images/run_csv_transform_kub
 217 16 2022-02-10 2022-02-10 1 1 adlersantos@google.com adlersantos@google.com
pipeline.yaml
in datasets/cloud_datasets/pipelines/pdp_extract_tabular_metadata
 212 - 2022-09-09 2022-10-07 2 1 happyhuman@users.noreply.gi... happyhuman@users.noreply.gi...
csv_transform.py
in datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_midyear_population_age_sex
 212 8 2024-08-09 2024-08-09 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
diversity_annual_report_pipeline.tf
in datasets/google_dei/infra
 210 - 2022-02-10 2022-05-19 2 1 adlersantos@google.com adlersantos@google.com
irs_990_ein_dag.py
in datasets/irs_990/pipelines/irs_990_ein
 209 - 2022-09-27 2022-09-27 1 1 106806401+vijay-google@user... 106806401+vijay-google@user...
pipeline.yaml
in datasets/vqa/pipelines/vqa
 209 - 2024-08-09 2024-08-09 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
pipeline.yaml
in datasets/city_health_dashboard/pipelines/city_health_dashboard_full_load
 207 - 2022-06-10 2022-06-10 1 1 84149918+nlarge-google@user... 84149918+nlarge-google@user...
Correlations

File Size vs. Number of Changes: 993 points

datasets/bls/pipelines/cpsaat18/cpsaat18_dag.py x: 46 lines of code y: 4 # changes datasets/bls/pipelines/cpsaat18/pipeline.yaml x: 64 lines of code y: 3 # changes datasets/google_political_ads/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 136 lines of code y: 7 # changes datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq/pipeline.yaml x: 1611 lines of code y: 9 # changes datasets/google_trends/pipelines/copy_trends_data/copy_trends_data_dag.py x: 33 lines of code y: 3 # changes datasets/human_variant_annotation/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 89 lines of code y: 2 # changes datasets/hacker_news/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 254 lines of code y: 5 # changes datasets/hacker_news/pipelines/full/full_dag.py x: 172 lines of code y: 4 # changes datasets/hacker_news/pipelines/full/pipeline.yaml x: 145 lines of code y: 4 # changes datasets/google_cfe/pipelines/datacenter_cfe/datacenter_cfe_dag.py x: 65 lines of code y: 2 # changes datasets/human_variant_annotation/pipelines/clinvar/clinvar_dag.py x: 72 lines of code y: 2 # changes datasets/human_variant_annotation/pipelines/db_snp/db_snp_dag.py x: 56 lines of code y: 2 # changes datasets/google_dei/pipelines/diversity_annual_report/diversity_annual_report_dag.py x: 801 lines of code y: 4 # changes datasets/deepmind/pipelines/alphafold/alphafold_dag.py x: 303 lines of code y: 3 # changes datasets/deepmind/pipelines/alphafold/pipeline.yaml x: 255 lines of code y: 3 # changes datasets/deepmind/pipelines/alphafold_v4/alphafold_v4_dag.py x: 309 lines of code y: 2 # changes datasets/deepmind/pipelines/alphafold_v4/pipeline.yaml x: 263 lines of code y: 2 # changes datasets/mnist/pipelines/mnist/mnist_dag.py x: 138 lines of code y: 2 # changes datasets/open_buildings/pipelines/open_buildings/pipeline.yaml x: 199 lines of code y: 3 # changes datasets/mimic_iii/pipelines/mimic_iii/mimic_iii_dag.py x: 31 lines of code y: 2 # changes datasets/multilingual_spoken_words_corpus/pipelines/multilingual_spoken_words_corpus/multilingual_spoken_words_corpus_dag.py x: 138 lines of code y: 3 # changes datasets/multilingual_spoken_words_corpus/pipelines/multilingual_spoken_words_corpus/pipeline.yaml x: 123 lines of code y: 2 # changes datasets/thelook_ecommerce/pipelines/thelook_ecommerce/pipeline.yaml x: 399 lines of code y: 11 # changes datasets/thelook_ecommerce/pipelines/thelook_ecommerce/thelook_ecommerce_dag.py x: 246 lines of code y: 7 # changes datasets/scalable_open_source/pipelines/deps_dev/deps_dev_dag.py x: 48 lines of code y: 3 # changes datasets/scalable_open_source/pipelines/deps_dev/pipeline.yaml x: 49 lines of code y: 3 # changes datasets/nlm_rxnorm/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 433 lines of code y: 3 # changes datasets/nlm_rxnorm/pipelines/nlm_rxnorm/nlm_rxnorm_dag.py x: 284 lines of code y: 3 # changes datasets/nlm_rxnorm/pipelines/nlm_rxnorm/pipeline.yaml x: 267 lines of code y: 3 # changes datasets/iowa_liquor_sales/pipelines/sales/pipeline.yaml x: 244 lines of code y: 6 # changes datasets/iowa_liquor_sales/pipelines/sales/sales_dag.py x: 243 lines of code y: 5 # changes datasets/libraries_io/pipelines/projects/pipeline.yaml x: 192 lines of code y: 3 # changes datasets/libraries_io/pipelines/projects/projects_dag.py x: 217 lines of code y: 3 # changes datasets/libraries_io/pipelines/repositories/pipeline.yaml x: 717 lines of code y: 4 # changes datasets/libraries_io/pipelines/repository_dependencies/pipeline.yaml x: 1159 lines of code y: 3 # changes datasets/libraries_io/pipelines/tags/pipeline.yaml x: 306 lines of code y: 3 # changes datasets/libraries_io/pipelines/versions/pipeline.yaml x: 133 lines of code y: 3 # changes datasets/fda_food/pipelines/food_enforcement/pipeline.yaml x: 180 lines of code y: 2 # changes datasets/fda_food/pipelines/food_events/pipeline.yaml x: 129 lines of code y: 2 # changes datasets/google_cloud_release_notes/pipelines/release_notes/pipeline.yaml x: 65 lines of code y: 3 # changes datasets/imdb/pipelines/interfaces/interfaces_dag.py x: 528 lines of code y: 3 # changes datasets/imdb/pipelines/interfaces/pipeline.yaml x: 479 lines of code y: 3 # changes datasets/imdb/pipelines/reviews/pipeline.yaml x: 147 lines of code y: 3 # changes datasets/imdb/pipelines/reviews/reviews_dag.py x: 133 lines of code y: 4 # changes datasets/fdic/pipelines/institutions/pipeline.yaml x: 613 lines of code y: 2 # changes datasets/fdic/pipelines/locations/locations_dag.py x: 238 lines of code y: 2 # changes datasets/fdic/pipelines/locations/pipeline.yaml x: 197 lines of code y: 2 # changes datasets/fec/pipelines/candidate_2016/candidate_2016_dag.py x: 140 lines of code y: 2 # changes datasets/fec/pipelines/candidate_2016/pipeline.yaml x: 116 lines of code y: 2 # changes datasets/fec/pipelines/candidate_committee_2016/candidate_committee_2016_dag.py x: 92 lines of code y: 2 # changes datasets/fec/pipelines/candidate_committee_2016/pipeline.yaml x: 82 lines of code y: 2 # changes datasets/fec/pipelines/committee_contributions_2016/committee_contributions_2016_dag.py x: 185 lines of code y: 2 # changes datasets/fec/pipelines/committee_contributions_2020/committee_contributions_2020_dag.py x: 185 lines of code y: 3 # changes datasets/fec/pipelines/committee_contributions_2020/pipeline.yaml x: 144 lines of code y: 3 # changes datasets/fec/pipelines/individuals_2016/individuals_2016_dag.py x: 220 lines of code y: 3 # changes datasets/fec/pipelines/individuals_ingest_2020/individuals_ingest_2020_dag.py x: 1574 lines of code y: 2 # changes datasets/fec/pipelines/individuals_ingest_2020/pipeline.yaml x: 1249 lines of code y: 2 # changes datasets/fec/pipelines/opex_2016/opex_2016_dag.py x: 200 lines of code y: 2 # changes datasets/fec/pipelines/opex_2016/pipeline.yaml x: 157 lines of code y: 2 # changes datasets/fec/pipelines/other_committee_tx_2016/other_committee_tx_2016_dag.py x: 176 lines of code y: 2 # changes datasets/fec/pipelines/other_committee_tx_2020/pipeline.yaml x: 173 lines of code y: 3 # changes datasets/fda_drug/pipelines/drug_enforcement/pipeline.yaml x: 298 lines of code y: 2 # changes datasets/ebi_chembl/pipelines/ebi_chembl_old_data/ebi_chembl_old_data_dag.py x: 36 lines of code y: 2 # changes datasets/ebi_chembl/pipelines/ebi_chembl_old_data/pipeline.yaml x: 39 lines of code y: 2 # changes datasets/census_opportunity_atlas/pipelines/census_opportunity_atlas/pipeline.yaml x: 235 lines of code y: 3 # changes datasets/covid19_symptom_search/pipelines/covid19_symptom_search/covid19_symptom_search_dag.py x: 238 lines of code y: 5 # changes datasets/cdc_places/pipelines/local_data_for_better_health_county_data/local_data_for_better_health_county_data_dag.py x: 80 lines of code y: 2 # changes datasets/london_bicycles/pipelines/london_bicycles/london_bicycles_dag.py x: 101 lines of code y: 2 # changes datasets/london_bicycles/pipelines/london_bicycles/pipeline.yaml x: 253 lines of code y: 2 # changes datasets/covid19_genome_sequence/pipelines/covid19_genome_sequence/pipeline.yaml x: 39 lines of code y: 3 # changes datasets/covid19_google_mobility/pipelines/mobility_report/mobility_report_dag.py x: 52 lines of code y: 4 # changes datasets/covid19_google_mobility/pipelines/mobility_report/pipeline.yaml x: 109 lines of code y: 3 # changes datasets/covid19_italy/pipelines/data_by_province/data_by_province_dag.py x: 97 lines of code y: 5 # changes datasets/covid19_italy/pipelines/data_by_province/pipeline.yaml x: 152 lines of code y: 5 # changes datasets/covid19_italy/pipelines/data_by_region/data_by_region_dag.py x: 159 lines of code y: 5 # changes datasets/covid19_italy/pipelines/data_by_region/pipeline.yaml x: 194 lines of code y: 5 # changes datasets/covid19_italy/pipelines/national_trends/national_trends_dag.py x: 149 lines of code y: 5 # changes datasets/covid19_italy/pipelines/national_trends/pipeline.yaml x: 164 lines of code y: 5 # changes datasets/covid19_jhu_csse/pipelines/covid19_jhu_csse/covid19_jhu_csse_dag.py x: 47 lines of code y: 2 # changes datasets/covid19_jhu_csse/pipelines/covid19_jhu_csse/pipeline.yaml x: 52 lines of code y: 2 # changes datasets/covid19_nyt/pipelines/load_from_github/load_from_github_dag.py x: 251 lines of code y: 2 # changes datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq/vaccination_access_to_bq_dag.py x: 431 lines of code y: 2 # changes datasets/covid19_vaccination_search_insights/pipelines/covid19_vaccination_search_insights/covid19_vaccination_search_insights_dag.py x: 107 lines of code y: 2 # changes datasets/cms_medicare/pipelines/inpatient_charges/inpatient_charges_dag.py x: 536 lines of code y: 4 # changes datasets/cms_medicare/pipelines/inpatient_charges/pipeline.yaml x: 441 lines of code y: 4 # changes datasets/cms_medicare/pipelines/outpatient_charges/outpatient_charges_dag.py x: 408 lines of code y: 3 # changes datasets/cms_medicare/pipelines/outpatient_charges/pipeline.yaml x: 340 lines of code y: 3 # changes datasets/austin/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 383 lines of code y: 3 # changes datasets/austin/pipelines/austin/austin_dag.py x: 299 lines of code y: 4 # changes datasets/austin/pipelines/austin/pipeline.yaml x: 745 lines of code y: 4 # changes datasets/bls/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 167 lines of code y: 2 # changes datasets/bls/pipelines/c_cpi_u/pipeline.yaml x: 105 lines of code y: 2 # changes datasets/bls/pipelines/employment_hours_earnings/employment_hours_earnings_dag.py x: 63 lines of code y: 2 # changes datasets/bls/pipelines/unemployment_cps_series/pipeline.yaml x: 188 lines of code y: 2 # changes datasets/noaa/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1960 lines of code y: 11 # changes datasets/noaa/pipelines/noaa/pipeline.yaml x: 2963 lines of code y: 13 # changes datasets/clemson_dice_traffic_vision/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 312 lines of code y: 1 # changes datasets/clemson_dice_traffic_vision/pipelines/clemson_dice_traffic_vision/clemson_dice_traffic_vision_dag.py x: 140 lines of code y: 1 # changes datasets/clemson_dice_traffic_vision/pipelines/clemson_dice_traffic_vision/pipeline.yaml x: 135 lines of code y: 1 # changes datasets/us_climate_normals/infra/normals_hourly_pipeline.tf x: 30 lines of code y: 1 # changes datasets/us_climate_normals/infra/provider.tf x: 24 lines of code y: 1 # changes datasets/us_climate_normals/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 557 lines of code y: 1 # changes datasets/us_climate_normals/pipelines/dataset.yaml x: 10 lines of code y: 1 # changes datasets/us_climate_normals/pipelines/us_climate_normals/pipeline.yaml x: 148 lines of code y: 1 # changes datasets/us_climate_normals/pipelines/us_climate_normals/us_climate_normals_dag.py x: 126 lines of code y: 1 # changes datasets/vqa/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 550 lines of code y: 1 # changes datasets/vqa/pipelines/dataset.yaml x: 11 lines of code y: 1 # changes datasets/vqa/pipelines/vqa/pipeline.yaml x: 209 lines of code y: 1 # changes datasets/vqa/pipelines/vqa_image_load/pipeline.yaml x: 57 lines of code y: 1 # changes datasets/vqa/pipelines/vqa_image_load/vqa_image_load_dag.py x: 37 lines of code y: 1 # changes datasets/census_bureau_international/infra/variables.tf x: 20 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_age_specific_fertility_rates/csv_transform.py x: 114 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_country_names_area/csv_transform.py x: 84 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_midyear_population/csv_transform.py x: 98 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/age_specific_fertility_rates/pipeline.yaml x: 110 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/country_names_area/country_names_area_dag.py x: 68 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/midyear_population/midyear_population_dag.py x: 74 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/midyear_population_age_sex/pipeline.yaml x: 503 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/midyear_population_agespecific/pipeline.yaml x: 103 lines of code y: 1 # changes datasets/census_bureau_international/pipelines/mortality_life_expectancy/pipeline.yaml x: 119 lines of code y: 1 # changes datasets/cfe_calculator/pipelines/dataset.yaml x: 10 lines of code y: 2 # changes datasets/cloud_storage_geo_index/pipelines/cloud_storage_geo_index/cloud_storage_geo_index_dag.py x: 75 lines of code y: 5 # changes datasets/cloud_storage_geo_index/pipelines/cloud_storage_geo_index/pipeline.yaml x: 165 lines of code y: 6 # changes datasets/covid19_symptom_search/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 367 lines of code y: 3 # changes datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality/pipeline.yaml x: 1696 lines of code y: 5 # changes datasets/new_york/pipelines/new_york/pipeline.yaml x: 570 lines of code y: 6 # changes datasets/nppes/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 358 lines of code y: 2 # changes datasets/nppes/pipelines/nppes/pipeline.yaml x: 746 lines of code y: 2 # changes datasets/the_general_index/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 444 lines of code y: 2 # changes datasets/the_general_index/pipelines/the_general_index/pipeline.yaml x: 1656 lines of code y: 3 # changes datasets/uniref50/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 310 lines of code y: 4 # changes datasets/uniref50/pipelines/uniref50/pipeline.yaml x: 104 lines of code y: 5 # changes datasets/san_francisco/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1525 lines of code y: 3 # changes datasets/san_francisco/pipelines/san_francisco/pipeline.yaml x: 1308 lines of code y: 4 # changes datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub/fake.py x: 717 lines of code y: 5 # changes datasets/london_bicycles/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 569 lines of code y: 2 # changes datasets/eumetsat/pipelines/solar_forecasting/solar_forecasting_dag.py x: 38 lines of code y: 4 # changes datasets/city_health_dashboard/pipelines/city_health_dashboard/city_health_dashboard_dag.py x: 92 lines of code y: 3 # changes datasets/idc/pipelines/copy_tcia_data/copy_tcia_data_dag.py x: 61 lines of code y: 7 # changes datasets/idc/pipelines/copy_tcia_data/pipeline.yaml x: 67 lines of code y: 7 # changes datasets/geos_fp/infra/provider.tf x: 24 lines of code y: 2 # changes datasets/geos_fp/pipelines/copy_files_rolling_basis/copy_files_rolling_basis_dag.py x: 229 lines of code y: 2 # changes datasets/geos_fp/pipelines/copy_files_rolling_basis/pipeline.yaml x: 245 lines of code y: 2 # changes datasets/geos_fp/pipelines/dataset.yaml x: 11 lines of code y: 2 # changes datasets/open_buildings_v2/pipelines/_images/run_script_kub/script.py x: 160 lines of code y: 1 # changes datasets/open_buildings_v2/pipelines/open_buildings_v2/open_buildings_v2_dag.py x: 46 lines of code y: 1 # changes datasets/usda_nass_agriculture/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 244 lines of code y: 1 # changes datasets/libraries_io/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 166 lines of code y: 1 # changes datasets/nih_gudid/infra/nih_gudid_pipeline.tf x: 150 lines of code y: 1 # changes datasets/nih_gudid/pipelines/nih_gudid/nih_gudid_dag.py x: 237 lines of code y: 1 # changes datasets/nih_gudid/pipelines/nih_gudid/pipeline.yaml x: 375 lines of code y: 1 # changes datasets/covid19_symptom_search/pipelines/_images/run_transfer_service_kub/script.py x: 49 lines of code y: 1 # changes pyproject.toml x: 54 lines of code y: 10 # changes datasets/idc/infra/idc_dataset.tf x: 378 lines of code y: 6 # changes datasets/covid19_jhu_csse/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 269 lines of code y: 1 # changes datasets/deepmind/pipelines/dataset.yaml x: 18 lines of code y: 2 # changes datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality_full_load/pipeline.yaml x: 1795 lines of code y: 2 # changes datasets/new_york/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 667 lines of code y: 1 # changes datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 626 lines of code y: 5 # changes datasets/city_health_dashboard/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 459 lines of code y: 3 # changes datasets/cfpb_complaints/pipelines/complaint_database/complaint_database_dag.py x: 161 lines of code y: 2 # changes datasets/fec/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 287 lines of code y: 4 # changes datasets/world_bank_intl_debt/infra/world_bank_intl_debt_pipeline.tf x: 75 lines of code y: 1 # changes datasets/world_bank_intl_education/infra/world_bank_intl_education_pipeline.tf x: 60 lines of code y: 1 # changes datasets/fdic/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 129 lines of code y: 1 # changes datasets/cloud_datasets/pipelines/_images/pdp_extract_tabular_metadata/script.py x: 282 lines of code y: 2 # changes datasets/cloud_datasets/pipelines/pdp_extract_tabular_metadata/pipeline.yaml x: 212 lines of code y: 2 # changes datasets/world_bank_wdi/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 268 lines of code y: 2 # changes datasets/new_york_taxi_trips/pipelines/new_york_taxi_trips/pipeline.yaml x: 168 lines of code y: 3 # changes datasets/noaa_passive_bioacoustic/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 251 lines of code y: 1 # changes datasets/google_political_ads/infra/process_csvs_and_load_to_bq_pipeline.tf x: 150 lines of code y: 2 # changes datasets/google_political_ads/infra/variables.tf x: 23 lines of code y: 3 # changes datasets/ebi_chembl/infra/chembl_30_pipeline.tf x: 1200 lines of code y: 1 # changes datasets/new_york_taxi_trips/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 495 lines of code y: 4 # changes datasets/multilingual_spoken_words_corpus/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 128 lines of code y: 2 # changes datasets/nhtsa_traffic_fatalities/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 497 lines of code y: 1 # changes datasets/merfish/pipelines/cell_by_gene/cell_by_gene_dag.py x: 1737 lines of code y: 1 # changes datasets/merfish/pipelines/cell_by_gene/pipeline.yaml x: 2637 lines of code y: 1 # changes scripts/generate_dag.py x: 249 lines of code y: 14 # changes datasets/the_general_index/pipelines/the_general_index/the_general_index_dag.py x: 524 lines of code y: 2 # changes templates/terraform/google_bigquery_table.tf.jinja2 x: 50 lines of code y: 7 # changes templates/terraform/google_storage_bucket.tf.jinja2 x: 48 lines of code y: 6 # changes templates/terraform/variables.tf.jinja2 x: 23 lines of code y: 4 # changes datasets/travel_impact_model/pipelines/flights_impact_data/flights_impact_data_dag.py x: 81 lines of code y: 3 # changes datasets/scalable_open_source/pipelines/_images/generate_bq_views/script.py x: 89 lines of code y: 1 # changes scripts/deploy_dag.py x: 426 lines of code y: 15 # changes datasets/census_bureau_acs/infra/census_bureau_acs_pipeline.tf x: 1185 lines of code y: 1 # changes datasets/census_bureau_acs/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 581 lines of code y: 2 # changes scripts/generate_terraform.py x: 327 lines of code y: 10 # changes datasets/city_health_dashboard/pipelines/city_health_dashboard_full_load/pipeline.yaml x: 207 lines of code y: 1 # changes datasets/census_opportunity_atlas/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 331 lines of code y: 2 # changes datasets/cloud_storage_geo_index/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 477 lines of code y: 2 # changes datasets/covid19_google_mobility/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 417 lines of code y: 2 # changes datasets/google_dei/pipelines/diversity_annual_report/pipeline.yaml x: 644 lines of code y: 3 # changes datasets/new_york_trees/pipelines/tree_census_2005/pipeline.yaml x: 282 lines of code y: 1 # changes datasets/new_york_trees/pipelines/tree_census_2005/tree_census_2005_dag.py x: 363 lines of code y: 1 # changes datasets/new_york_trees/pipelines/tree_census_2015/pipeline.yaml x: 229 lines of code y: 1 # changes datasets/new_york_trees/pipelines/tree_census_2015/tree_census_2015_dag.py x: 300 lines of code y: 1 # changes datasets/travel_impact_model/pipelines/metadata/metadata_dag.py x: 39 lines of code y: 1 # changes datasets/epa_historical_air_quality/infra/epa_historical_air_quality_pipeline.tf x: 480 lines of code y: 1 # changes datasets/sec_failure_to_deliver/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 193 lines of code y: 1 # changes datasets/austin_crime/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 187 lines of code y: 1 # changes datasets/chicago_crime/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 181 lines of code y: 1 # changes datasets/covid19_govt_response/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 93 lines of code y: 1 # changes datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq/pipeline.yaml x: 316 lines of code y: 1 # changes datasets/fda_drug/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 217 lines of code y: 1 # changes datasets/race_and_economic_opportunity/pipelines/parametric_estimates_of_income_ranks_for_second_generation_immigrant_children/pipeline.yaml x: 161 lines of code y: 1 # changes datasets/sunroof_solar/pipelines/solar_potential_by_censustract/pipeline.yaml x: 201 lines of code y: 1 # changes
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min: 7.0 | average: 105.49 | 25th percentile: 23.0 | median: 30.0 | 75th percentile: 106.5 | max: 2963.0

Number of Contributors vs. Number of Changes: 993 points

datasets/bls/pipelines/cpsaat18/cpsaat18_dag.py x: 3 # contributors y: 4 # changes datasets/bls/pipelines/cpsaat18/pipeline.yaml x: 2 # contributors y: 3 # changes datasets/google_political_ads/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 3 # contributors y: 7 # changes datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq/pipeline.yaml x: 5 # contributors y: 9 # changes datasets/google_trends/pipelines/copy_trends_data/copy_trends_data_dag.py x: 3 # contributors y: 3 # changes datasets/human_variant_annotation/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 2 # changes datasets/hacker_news/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 3 # contributors y: 5 # changes datasets/google_dei/pipelines/diversity_annual_report/diversity_annual_report_dag.py x: 2 # contributors y: 4 # changes datasets/thelook_ecommerce/pipelines/thelook_ecommerce/pipeline.yaml x: 6 # contributors y: 11 # changes datasets/thelook_ecommerce/pipelines/thelook_ecommerce/thelook_ecommerce_dag.py x: 4 # contributors y: 7 # changes datasets/iowa_liquor_sales/pipelines/sales/pipeline.yaml x: 5 # contributors y: 6 # changes datasets/iowa_liquor_sales/pipelines/sales/sales_dag.py x: 4 # contributors y: 5 # changes datasets/covid19_symptom_search/pipelines/covid19_symptom_search/covid19_symptom_search_dag.py x: 2 # contributors y: 5 # changes datasets/london_bicycles/pipelines/london_bicycles/london_bicycles_dag.py x: 1 # contributors y: 2 # changes datasets/austin/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 3 # changes datasets/austin/pipelines/austin/austin_dag.py x: 1 # contributors y: 4 # changes datasets/noaa/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 11 # changes datasets/noaa/pipelines/noaa/pipeline.yaml x: 2 # contributors y: 13 # changes datasets/clemson_dice_traffic_vision/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 1 # changes datasets/cloud_storage_geo_index/pipelines/cloud_storage_geo_index/pipeline.yaml x: 2 # contributors y: 6 # changes datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality/pipeline.yaml x: 1 # contributors y: 5 # changes datasets/new_york/pipelines/new_york/pipeline.yaml x: 1 # contributors y: 6 # changes datasets/idc/pipelines/copy_tcia_data/copy_tcia_data_dag.py x: 2 # contributors y: 7 # changes pyproject.toml x: 4 # contributors y: 10 # changes scripts/generate_dag.py x: 3 # contributors y: 14 # changes templates/terraform/google_bigquery_table.tf.jinja2 x: 1 # contributors y: 7 # changes scripts/deploy_dag.py x: 2 # contributors y: 15 # changes scripts/generate_terraform.py x: 1 # contributors y: 10 # changes
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min: 1.0 | average: 1.33 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 6.0

Number of Contributors vs. File Size: 993 points

datasets/bls/pipelines/cpsaat18/cpsaat18_dag.py x: 3 # contributors y: 46 lines of code datasets/bls/pipelines/cpsaat18/pipeline.yaml x: 2 # contributors y: 64 lines of code datasets/google_political_ads/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 3 # contributors y: 136 lines of code datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq/pipeline.yaml x: 5 # contributors y: 1611 lines of code datasets/google_trends/pipelines/copy_trends_data/copy_trends_data_dag.py x: 3 # contributors y: 33 lines of code datasets/human_variant_annotation/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 89 lines of code datasets/hacker_news/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 3 # contributors y: 254 lines of code datasets/hacker_news/pipelines/full/full_dag.py x: 3 # contributors y: 172 lines of code datasets/hacker_news/pipelines/full/pipeline.yaml x: 3 # contributors y: 145 lines of code datasets/human_variant_annotation/pipelines/clinvar/clinvar_dag.py x: 2 # contributors y: 72 lines of code datasets/human_variant_annotation/pipelines/db_snp/db_snp_dag.py x: 2 # contributors y: 56 lines of code datasets/google_dei/pipelines/diversity_annual_report/diversity_annual_report_dag.py x: 2 # contributors y: 801 lines of code datasets/deepmind/pipelines/alphafold/alphafold_dag.py x: 2 # contributors y: 303 lines of code datasets/deepmind/pipelines/alphafold/pipeline.yaml x: 2 # contributors y: 255 lines of code datasets/deepmind/pipelines/alphafold_v4/alphafold_v4_dag.py x: 2 # contributors y: 309 lines of code datasets/deepmind/pipelines/alphafold_v4/pipeline.yaml x: 2 # contributors y: 263 lines of code datasets/mnist/pipelines/mnist/mnist_dag.py x: 2 # contributors y: 138 lines of code datasets/open_buildings/pipelines/open_buildings/pipeline.yaml x: 3 # contributors y: 199 lines of code datasets/mimic_iii/pipelines/mimic_iii/mimic_iii_dag.py x: 2 # contributors y: 31 lines of code datasets/multilingual_spoken_words_corpus/pipelines/multilingual_spoken_words_corpus/pipeline.yaml x: 2 # contributors y: 123 lines of code datasets/thelook_ecommerce/pipelines/thelook_ecommerce/pipeline.yaml x: 6 # contributors y: 399 lines of code datasets/thelook_ecommerce/pipelines/thelook_ecommerce/thelook_ecommerce_dag.py x: 4 # contributors y: 246 lines of code datasets/nlm_rxnorm/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 433 lines of code datasets/nlm_rxnorm/pipelines/nlm_rxnorm/nlm_rxnorm_dag.py x: 2 # contributors y: 284 lines of code datasets/iowa_liquor_sales/pipelines/sales/pipeline.yaml x: 5 # contributors y: 244 lines of code datasets/iowa_liquor_sales/pipelines/sales/sales_dag.py x: 4 # contributors y: 243 lines of code datasets/libraries_io/pipelines/projects/pipeline.yaml x: 2 # contributors y: 192 lines of code datasets/libraries_io/pipelines/projects/projects_dag.py x: 2 # contributors y: 217 lines of code datasets/libraries_io/pipelines/repositories/pipeline.yaml x: 3 # contributors y: 717 lines of code datasets/libraries_io/pipelines/repository_dependencies/pipeline.yaml x: 2 # contributors y: 1159 lines of code datasets/fda_food/pipelines/food_enforcement/pipeline.yaml x: 2 # contributors y: 180 lines of code datasets/imdb/pipelines/interfaces/interfaces_dag.py x: 3 # contributors y: 528 lines of code datasets/imdb/pipelines/interfaces/pipeline.yaml x: 3 # contributors y: 479 lines of code datasets/imdb/pipelines/reviews/pipeline.yaml x: 2 # contributors y: 147 lines of code datasets/fdic/pipelines/institutions/pipeline.yaml x: 2 # contributors y: 613 lines of code datasets/fdic/pipelines/locations/locations_dag.py x: 2 # contributors y: 238 lines of code datasets/fec/pipelines/candidate_2016/pipeline.yaml x: 2 # contributors y: 116 lines of code datasets/fec/pipelines/individuals_ingest_2020/individuals_ingest_2020_dag.py x: 2 # contributors y: 1574 lines of code datasets/fec/pipelines/individuals_ingest_2020/pipeline.yaml x: 2 # contributors y: 1249 lines of code datasets/fec/pipelines/opex_2016/opex_2016_dag.py x: 2 # contributors y: 200 lines of code datasets/fec/pipelines/opex_2016/pipeline.yaml x: 2 # contributors y: 157 lines of code datasets/fec/pipelines/other_committee_tx_2020/pipeline.yaml x: 2 # contributors y: 173 lines of code datasets/ebi_chembl/pipelines/ebi_chembl_old_data/ebi_chembl_old_data_dag.py x: 2 # contributors y: 36 lines of code datasets/london_bicycles/pipelines/london_bicycles/london_bicycles_dag.py x: 1 # contributors y: 101 lines of code datasets/london_bicycles/pipelines/london_bicycles/pipeline.yaml x: 1 # contributors y: 253 lines of code datasets/covid19_italy/pipelines/data_by_province/data_by_province_dag.py x: 3 # contributors y: 97 lines of code datasets/covid19_italy/pipelines/data_by_province/pipeline.yaml x: 3 # contributors y: 152 lines of code datasets/covid19_italy/pipelines/data_by_region/pipeline.yaml x: 3 # contributors y: 194 lines of code datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq/vaccination_access_to_bq_dag.py x: 2 # contributors y: 431 lines of code datasets/cms_medicare/pipelines/inpatient_charges/inpatient_charges_dag.py x: 2 # contributors y: 536 lines of code datasets/cms_medicare/pipelines/outpatient_charges/outpatient_charges_dag.py x: 2 # contributors y: 408 lines of code datasets/cms_medicare/pipelines/outpatient_charges/pipeline.yaml x: 2 # contributors y: 340 lines of code datasets/austin/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 383 lines of code datasets/austin/pipelines/austin/austin_dag.py x: 1 # contributors y: 299 lines of code datasets/austin/pipelines/austin/pipeline.yaml x: 1 # contributors y: 745 lines of code datasets/bls/pipelines/cpi_u/pipeline.yaml x: 2 # contributors y: 104 lines of code datasets/noaa/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 1960 lines of code datasets/noaa/pipelines/noaa/pipeline.yaml x: 2 # contributors y: 2963 lines of code datasets/clemson_dice_traffic_vision/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 312 lines of code datasets/clemson_dice_traffic_vision/pipelines/clemson_dice_traffic_vision/clemson_dice_traffic_vision_dag.py x: 1 # contributors y: 140 lines of code datasets/clemson_dice_traffic_vision/pipelines/clemson_dice_traffic_vision/pipeline.yaml x: 1 # contributors y: 135 lines of code datasets/us_climate_normals/infra/normals_hourly_pipeline.tf x: 1 # contributors y: 30 lines of code datasets/us_climate_normals/infra/us_climate_normals_dataset.tf x: 1 # contributors y: 23 lines of code datasets/us_climate_normals/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 557 lines of code datasets/us_climate_normals/pipelines/dataset.yaml x: 1 # contributors y: 10 lines of code datasets/us_climate_normals/pipelines/us_climate_normals/us_climate_normals_dag.py x: 1 # contributors y: 126 lines of code datasets/vqa/pipelines/vqa/pipeline.yaml x: 1 # contributors y: 209 lines of code datasets/vqa/pipelines/vqa_image_load/pipeline.yaml x: 1 # contributors y: 57 lines of code datasets/vqa/pipelines/vqa_image_load/vqa_image_load_dag.py x: 1 # contributors y: 37 lines of code datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_age_specific_fertility_rates/csv_transform.py x: 1 # contributors y: 114 lines of code datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_country_names_area/csv_transform.py x: 1 # contributors y: 84 lines of code datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_midyear_population_age_sex/csv_transform.py x: 1 # contributors y: 212 lines of code datasets/census_bureau_international/pipelines/country_names_area/country_names_area_dag.py x: 1 # contributors y: 68 lines of code datasets/census_bureau_international/pipelines/midyear_population/midyear_population_dag.py x: 1 # contributors y: 74 lines of code datasets/census_bureau_international/pipelines/midyear_population_age_sex/pipeline.yaml x: 1 # contributors y: 503 lines of code datasets/covid19_symptom_search/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 367 lines of code datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality/pipeline.yaml x: 1 # contributors y: 1696 lines of code datasets/new_york/pipelines/new_york/pipeline.yaml x: 1 # contributors y: 570 lines of code datasets/nppes/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 358 lines of code datasets/the_general_index/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 444 lines of code datasets/the_general_index/pipelines/the_general_index/pipeline.yaml x: 2 # contributors y: 1656 lines of code datasets/san_francisco/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 1525 lines of code datasets/san_francisco/pipelines/san_francisco/pipeline.yaml x: 1 # contributors y: 1308 lines of code datasets/london_bicycles/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 569 lines of code datasets/imdb/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 385 lines of code datasets/city_health_dashboard/pipelines/city_health_dashboard/pipeline.yaml x: 2 # contributors y: 224 lines of code datasets/geos_fp/infra/variables.tf x: 2 # contributors y: 23 lines of code datasets/geos_fp/pipelines/dataset.yaml x: 2 # contributors y: 11 lines of code datasets/open_buildings_v2/pipelines/_images/run_script_kub/script.py x: 1 # contributors y: 160 lines of code datasets/usda_nass_agriculture/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 244 lines of code datasets/libraries_io/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 166 lines of code pyproject.toml x: 4 # contributors y: 54 lines of code datasets/covid19_jhu_csse/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 269 lines of code datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality_full_load/pipeline.yaml x: 1 # contributors y: 1795 lines of code datasets/new_york/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 667 lines of code datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 626 lines of code datasets/city_health_dashboard/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 3 # contributors y: 459 lines of code datasets/fec/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 287 lines of code datasets/cloud_datasets/infra/pdp_extract_tabular_metadata_pipeline.tf x: 1 # contributors y: 227 lines of code datasets/ebi_chembl/infra/chembl_30_pipeline.tf x: 1 # contributors y: 1200 lines of code datasets/new_york_taxi_trips/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 495 lines of code datasets/census_opportunity_atlas/infra/census_opportunity_atlas_dataset.tf x: 3 # contributors y: 23 lines of code datasets/nhtsa_traffic_fatalities/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 497 lines of code datasets/merfish/pipelines/cell_by_gene/cell_by_gene_dag.py x: 1 # contributors y: 1737 lines of code datasets/merfish/pipelines/cell_by_gene/pipeline.yaml x: 1 # contributors y: 2637 lines of code datasets/the_general_index/pipelines/the_general_index/the_general_index_dag.py x: 2 # contributors y: 524 lines of code datasets/census_bureau_acs/infra/census_bureau_acs_pipeline.tf x: 1 # contributors y: 1185 lines of code datasets/census_bureau_acs/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 581 lines of code scripts/generate_terraform.py x: 1 # contributors y: 327 lines of code datasets/census_opportunity_atlas/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 331 lines of code datasets/cloud_storage_geo_index/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 477 lines of code datasets/covid19_google_mobility/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 # contributors y: 417 lines of code datasets/google_dei/pipelines/diversity_annual_report/pipeline.yaml x: 1 # contributors y: 644 lines of code datasets/new_york_trees/pipelines/tree_census_2005/tree_census_2005_dag.py x: 1 # contributors y: 363 lines of code datasets/epa_historical_air_quality/infra/epa_historical_air_quality_pipeline.tf x: 1 # contributors y: 480 lines of code datasets/sec_failure_to_deliver/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 193 lines of code datasets/chicago_crime/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 # contributors y: 181 lines of code datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq/pipeline.yaml x: 1 # contributors y: 316 lines of code
2963.0
lines of code
  min: 7.0
  average: 105.49
  25th percentile: 23.0
  median: 30.0
  75th percentile: 106.5
  max: 2963.0
0 6.0
# contributors
min: 1.0 | average: 1.33 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 6.0