GoogleCloudPlatform / public-datasets-pipelines
File Size

The distribution of size of files (measured in lines of code).

Intro
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File Size Overall
24% | 10% | 22% | 20% | 22%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
yaml39% | 11% | 16% | 21% | 10%
py14% | 14% | 33% | 25% | 12%
tf13% | 0% | 7% | 4% | 74%
jinja20% | 0% | 0% | 0% | 100%
toml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
datasets24% | 10% | 21% | 20% | 22%
scripts0% | 0% | 87% | 12% | 0%
templates0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
pipeline.yaml
in datasets/noaa/pipelines/noaa
 2963 -
pipeline.yaml
in datasets/merfish/pipelines/cell_by_gene
 2637 -
csv_transform.py
in datasets/noaa/pipelines/_images/run_csv_transform_kub
 1960 52
pipeline.yaml
in datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality_full_load
 1795 -
cell_by_gene_dag.py
in datasets/merfish/pipelines/cell_by_gene
 1737 -
pipeline.yaml
in datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality
 1696 -
pipeline.yaml
in datasets/the_general_index/pipelines/the_general_index
 1656 -
pipeline.yaml
in datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq
 1611 -
individuals_ingest_2020_dag.py
in datasets/fec/pipelines/individuals_ingest_2020
 1574 -
csv_transform.py
in datasets/san_francisco/pipelines/_images/run_csv_transform_kub
 1525 47
pipeline.yaml
in datasets/san_francisco/pipelines/san_francisco
 1308 -
pipeline.yaml
in datasets/fec/pipelines/individuals_ingest_2020
 1249 -
chembl_30_pipeline.tf
in datasets/ebi_chembl/infra
 1200 -
census_bureau_acs_pipeline.tf
in datasets/census_bureau_acs/infra
 1185 -
pipeline.yaml
in datasets/libraries_io/pipelines/repository_dependencies
 1159 -
diversity_annual_report_dag.py
in datasets/google_dei/pipelines/diversity_annual_report
 801 -
pipeline.yaml
in datasets/nppes/pipelines/nppes
 746 -
pipeline.yaml
in datasets/austin/pipelines/austin
 745 -
fake.py
in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub
 717 25
pipeline.yaml
in datasets/libraries_io/pipelines/repositories
 717 -
csv_transform.py
in datasets/new_york/pipelines/_images/run_csv_transform_kub
 667 31
pipeline.yaml
in datasets/google_dei/pipelines/diversity_annual_report
 644 -
csv_transform.py
in datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub
 626 23
pipeline.yaml
in datasets/fdic/pipelines/institutions
 613 -
csv_transform.py
in datasets/census_bureau_acs/pipelines/_images/run_csv_transform_kub
 581 21
pipeline.yaml
in datasets/new_york/pipelines/new_york
 570 -
csv_transform.py
in datasets/london_bicycles/pipelines/_images/run_csv_transform_kub
 569 20
csv_transform.py
in datasets/us_climate_normals/pipelines/_images/run_csv_transform_kub
 557 21
csv_transform.py
in datasets/vqa/pipelines/_images/run_csv_transform_kub
 550 19
inpatient_charges_dag.py
in datasets/cms_medicare/pipelines/inpatient_charges
 536 -
interfaces_dag.py
in datasets/imdb/pipelines/interfaces
 528 -
the_general_index_dag.py
in datasets/the_general_index/pipelines/the_general_index
 524 -
pipeline.yaml
in datasets/census_bureau_international/pipelines/midyear_population_age_sex
 503 -
csv_transform.py
in datasets/nhtsa_traffic_fatalities/pipelines/_images/run_csv_transform_kub
 497 19
csv_transform.py
in datasets/new_york_taxi_trips/pipelines/_images/run_csv_transform_kub
 495 17
epa_historical_air_quality_pipeline.tf
in datasets/epa_historical_air_quality/infra
 480 -
pipeline.yaml
in datasets/imdb/pipelines/interfaces
 479 -
csv_transform.py
in datasets/cloud_storage_geo_index/pipelines/_images/run_csv_transform_kub
 477 16
csv_transform.py
in datasets/city_health_dashboard/pipelines/_images/run_csv_transform_kub
 459 16
csv_transform.py
in datasets/the_general_index/pipelines/_images/run_csv_transform_kub
 444 22
pipeline.yaml
in datasets/cms_medicare/pipelines/inpatient_charges
 441 -
csv_transform.py
in datasets/nlm_rxnorm/pipelines/_images/run_csv_transform_kub
 433 16
vaccination_access_to_bq_dag.py
in datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq
 431 -
deploy_dag.py
in scripts
 426 19
csv_transform.py
in datasets/covid19_google_mobility/pipelines/_images/run_csv_transform_kub
 417 14
outpatient_charges_dag.py
in datasets/cms_medicare/pipelines/outpatient_charges
 408 -
pipeline.yaml
in datasets/thelook_ecommerce/pipelines/thelook_ecommerce
 399 -
csv_transform.py
in datasets/imdb/pipelines/_images/run_csv_transform_kub
 385 30
csv_transform.py
in datasets/austin/pipelines/_images/run_csv_transform_kub
 383 16
idc_dataset.tf
in datasets/idc/infra
 378 -
Files With Most Units (Top 50)
File# lines# units
csv_transform.py
in datasets/noaa/pipelines/_images/run_csv_transform_kub
 1960 52
csv_transform.py
in datasets/san_francisco/pipelines/_images/run_csv_transform_kub
 1525 47
csv_transform.py
in datasets/new_york/pipelines/_images/run_csv_transform_kub
 667 31
csv_transform.py
in datasets/imdb/pipelines/_images/run_csv_transform_kub
 385 30
generate_dag.py
in scripts
 249 25
fake.py
in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub
 717 25
csv_transform.py
in datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub
 626 23
csv_transform.py
in datasets/the_general_index/pipelines/_images/run_csv_transform_kub
 444 22
327 21
csv_transform.py
in datasets/census_bureau_acs/pipelines/_images/run_csv_transform_kub
 581 21
csv_transform.py
in datasets/us_climate_normals/pipelines/_images/run_csv_transform_kub
 557 21
script.py
in datasets/cloud_datasets/pipelines/_images/pdp_extract_tabular_metadata
 282 20
csv_transform.py
in datasets/london_bicycles/pipelines/_images/run_csv_transform_kub
 569 20
deploy_dag.py
in scripts
 426 19
csv_transform.py
in datasets/nhtsa_traffic_fatalities/pipelines/_images/run_csv_transform_kub
 497 19
csv_transform.py
in datasets/fda_food/pipelines/_images/run_csv_transform_kub
 304 19
csv_transform.py
in datasets/vqa/pipelines/_images/run_csv_transform_kub
 550 19
csv_transform.py
in datasets/new_york_taxi_trips/pipelines/_images/run_csv_transform_kub
 495 17
csv_transform.py
in datasets/covid19_jhu_csse/pipelines/_images/run_csv_transform_kub
 269 17
csv_transform.py
in datasets/nlm_rxnorm/pipelines/_images/run_csv_transform_kub
 433 16
csv_transform.py
in datasets/austin/pipelines/_images/run_csv_transform_kub
 383 16
csv_transform.py
in datasets/fda_drug/pipelines/_images/run_csv_transform_kub
 217 16
csv_transform.py
in datasets/city_health_dashboard/pipelines/_images/run_csv_transform_kub
 459 16
csv_transform.py
in datasets/cloud_storage_geo_index/pipelines/_images/run_csv_transform_kub
 477 16
csv_transform.py
in datasets/covid19_symptom_search/pipelines/_images/run_csv_transform_kub
 367 15
csv_transform.py
in datasets/covid19_google_mobility/pipelines/_images/run_csv_transform_kub
 417 14
csv_transform.py
in datasets/austin_crime/pipelines/_images/run_csv_transform_kub
 187 14
csv_transform.py
in datasets/san_francisco_311/pipelines/_images/run_csv_transform_kub
 187 14
csv_transform.py
in datasets/new_york_taxi_trips/_images/run_csv_transform_kub
 375 14
csv_transform.py
in datasets/census_opportunity_atlas/pipelines/_images/run_csv_transform_kub
 331 14
csv_transform.py
in datasets/fec/pipelines/_images/run_csv_transform_kub
 287 14
csv_transform.py
in datasets/world_bank_wdi/pipelines/_images/run_csv_transform_kub
 268 13
csv_transform.py
in datasets/chicago_crime/pipelines/_images/run_csv_transform_kub
 181 13
csv_transform.py
in datasets/usda_nass_agriculture/pipelines/_images/run_csv_transform_kub
 244 13
csv_transform.py
in datasets/nppes/pipelines/_images/run_csv_transform_kub
 358 12
csv_transform.py
in datasets/clemson_dice_traffic_vision/pipelines/_images/run_csv_transform_kub
 312 12
script.py
in datasets/geos_fp/pipelines/_images/rolling_copy
 153 12
csv_transform.py
in datasets/san_francisco_bikeshare/pipelines/_images/bikeshare_station_info
 155 11
csv_transform.py
in datasets/sec_failure_to_deliver/pipelines/_images/run_csv_transform_kub
 193 11
csv_transform.py
in datasets/sunroof_solar/pipelines/_images/run_csv_transform_kub
 154 11
csv_transform.py
in datasets/multilingual_spoken_words_corpus/pipelines/_images/run_csv_transform_kub
 128 10
csv_transform.py
in datasets/census_bureau_international/pipelines/_images/run_csv_transform_kub_midyear_population_agespecific
 124 10
csv_transform.py
in datasets/libraries_io/pipelines/_images/run_csv_transform_kub
 166 10
csv_transform.py
in datasets/noaa_passive_bioacoustic/pipelines/_images/run_csv_transform_kub
 251 10
csv_transform.py
in datasets/uniref50/pipelines/_images/run_csv_transform_kub
 310 10
csv_transform.py
in datasets/san_francisco_bikeshare/pipelines/_images/bikeshare_station_status
 144 9
csv_transform.py
in datasets/world_bank_intl_education/pipelines/_images/run_csv_transform_kub
 105 9
csv_transform.py
in datasets/world_bank_health_population/pipelines/_images/run_csv_transform_kub
 105 9
csv_transform.py
in datasets/san_francisco_film_locations/pipelines/_images/run_csv_transform_kub
 121 9
csv_transform.py
in datasets/hacker_news/pipelines/_images/run_csv_transform_kub
 254 9
Files With Long Lines (Top 50)

There are 325 files with lines longer than 120 characters. In total, there are 2215 long lines.

File# lines# units# long lines
pipeline.yaml
in datasets/open_buildings/pipelines/open_buildings
 199 - 137
pipeline.yaml
in datasets/fdic/pipelines/institutions
 613 - 131
pipeline.yaml
in datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality
 1696 - 126
pipeline.yaml
in datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality_full_load
 1795 - 126
pipeline.yaml
in datasets/libraries_io/pipelines/repository_dependencies
 1159 - 94
pipeline.yaml
in datasets/libraries_io/pipelines/repositories
 717 - 84
pipeline.yaml
in datasets/google_dei/pipelines/diversity_annual_report
 644 - 54
chembl_30_pipeline.tf
in datasets/ebi_chembl/infra
 1200 - 49
diversity_annual_report_dag.py
in datasets/google_dei/pipelines/diversity_annual_report
 801 - 48
the_general_index_dag.py
in datasets/the_general_index/pipelines/the_general_index
 524 - 48
inpatient_charges_dag.py
in datasets/cms_medicare/pipelines/inpatient_charges
 536 - 40
pipeline.yaml
in datasets/cms_medicare/pipelines/inpatient_charges
 441 - 35
austin_dag.py
in datasets/austin/pipelines/austin
 299 - 34
pipeline.yaml
in datasets/fdic/pipelines/locations
 197 - 29
outpatient_charges_dag.py
in datasets/cms_medicare/pipelines/outpatient_charges
 408 - 28
pipeline.yaml
in datasets/cms_medicare/pipelines/outpatient_charges
 340 - 24
pipeline.yaml
in datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq
 316 - 24
locations_dag.py
in datasets/fdic/pipelines/locations
 238 - 23
pipeline.yaml
in datasets/fda_drug/pipelines/drug_enforcement
 298 - 22
pipeline.yaml
in datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq
 1611 - 21
vaccination_access_to_bq_dag.py
in datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq
 431 - 20
pipeline.yaml
in datasets/libraries_io/pipelines/projects
 192 - 18
individuals_ingest_2020_dag.py
in datasets/fec/pipelines/individuals_ingest_2020
 1574 - 18
pipeline.yaml
in datasets/covid19_vaccination_search_insights/pipelines/covid19_vaccination_search_insights
 180 - 16
pipeline.yaml
in datasets/libraries_io/pipelines/tags
 306 - 15
food_enforcement_dag.py
in datasets/fda_food/pipelines/food_enforcement
 202 - 14
pipeline.yaml
in datasets/fda_food/pipelines/food_enforcement
 180 - 13
diversity_annual_report_pipeline.tf
in datasets/google_dei/infra
 210 - 13
projects_dag.py
in datasets/libraries_io/pipelines/projects
 217 - 13
pipeline.yaml
in datasets/nlm_rxnorm/pipelines/nlm_rxnorm
 267 - 11
tree_census_2015_dag.py
in datasets/new_york_trees/pipelines/tree_census_2015
 300 - 11
interfaces_dag.py
in datasets/imdb/pipelines/interfaces
 528 - 11
pipeline.yaml
in datasets/fec/pipelines/individuals_ingest_2020
 1249 - 11
dataset.yaml
in datasets/covid19_google_mobility/pipelines
 28 - 10
taxi_trips_dag.py
in datasets/chicago_taxi_trips/pipelines/taxi_trips
 189 - 10
nlm_rxnorm_dag.py
in datasets/nlm_rxnorm/pipelines/nlm_rxnorm
 284 - 10
food_events_dag.py
in datasets/fda_food/pipelines/food_events
 132 - 10
solar_potential_by_censustract_dag.py
in datasets/sunroof_solar/pipelines/solar_potential_by_censustract
 238 - 10
solar_potential_by_postal_code_dag.py
in datasets/sunroof_solar/pipelines/solar_potential_by_postal_code
 238 - 10
past_week_dag.py
in datasets/nasa_wildfire/pipelines/past_week
 137 - 10
dataset.yaml
in datasets/covid19_symptom_search/pipelines
 18 - 10
process_csvs_and_load_to_bq_pipeline.tf
in datasets/google_political_ads/infra
 150 - 9
sales_dag.py
in datasets/iowa_liquor_sales/pipelines/sales
 243 - 9
pipeline.yaml
in datasets/imdb/pipelines/interfaces
 479 - 9
pipeline.yaml
in datasets/chicago_taxi_trips/pipelines/taxi_trips
 170 - 8
pipeline.yaml
in datasets/fda_food/pipelines/food_events
 129 - 8
pipeline.yaml
in datasets/sunroof_solar/pipelines/solar_potential_by_censustract
 201 - 8
pipeline.yaml
in datasets/sunroof_solar/pipelines/solar_potential_by_postal_code
 201 - 8
pipeline.yaml
in datasets/austin/pipelines/austin
 745 - 8
pipeline.yaml
in datasets/new_york_trees/pipelines/tree_census_2015
 229 - 8
Correlations

File Size vs. Commits (all time): 993 points

datasets/bls/pipelines/cpsaat18/cpsaat18_dag.py x: 4 commits (all time) y: 46 lines of code datasets/bls/pipelines/cpsaat18/pipeline.yaml x: 3 commits (all time) y: 64 lines of code datasets/google_political_ads/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 7 commits (all time) y: 136 lines of code datasets/google_political_ads/pipelines/process_csvs_and_load_to_bq/pipeline.yaml x: 12 commits (all time) y: 1611 lines of code datasets/google_trends/pipelines/copy_trends_data/copy_trends_data_dag.py x: 3 commits (all time) y: 33 lines of code datasets/google_trends/pipelines/copy_trends_data/pipeline.yaml x: 3 commits (all time) y: 35 lines of code datasets/human_variant_annotation/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 commits (all time) y: 89 lines of code datasets/hacker_news/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 5 commits (all time) y: 254 lines of code datasets/hacker_news/pipelines/full/full_dag.py x: 4 commits (all time) y: 172 lines of code datasets/hacker_news/pipelines/full/pipeline.yaml x: 4 commits (all time) y: 145 lines of code datasets/google_cfe/pipelines/datacenter_cfe/datacenter_cfe_dag.py x: 2 commits (all time) y: 65 lines of code datasets/human_variant_annotation/pipelines/clinvar/clinvar_dag.py x: 2 commits (all time) y: 72 lines of code datasets/human_variant_annotation/pipelines/db_snp/db_snp_dag.py x: 2 commits (all time) y: 56 lines of code datasets/google_dei/pipelines/diversity_annual_report/diversity_annual_report_dag.py x: 4 commits (all time) y: 801 lines of code datasets/deepmind/pipelines/alphafold/alphafold_dag.py x: 3 commits (all time) y: 303 lines of code datasets/deepmind/pipelines/alphafold/pipeline.yaml x: 3 commits (all time) y: 255 lines of code datasets/deepmind/pipelines/alphafold_v4/alphafold_v4_dag.py x: 2 commits (all time) y: 309 lines of code datasets/deepmind/pipelines/alphafold_v4/pipeline.yaml x: 2 commits (all time) y: 263 lines of code datasets/mnist/pipelines/mnist/mnist_dag.py x: 2 commits (all time) y: 138 lines of code datasets/open_buildings/pipelines/open_buildings/pipeline.yaml x: 4 commits (all time) y: 199 lines of code datasets/mimic_iii/pipelines/mimic_iii/mimic_iii_dag.py x: 2 commits (all time) y: 31 lines of code datasets/multilingual_spoken_words_corpus/pipelines/multilingual_spoken_words_corpus/multilingual_spoken_words_corpus_dag.py x: 3 commits (all time) y: 138 lines of code datasets/multilingual_spoken_words_corpus/pipelines/multilingual_spoken_words_corpus/pipeline.yaml x: 2 commits (all time) y: 123 lines of code datasets/thelook_ecommerce/pipelines/thelook_ecommerce/pipeline.yaml x: 11 commits (all time) y: 399 lines of code datasets/thelook_ecommerce/pipelines/thelook_ecommerce/thelook_ecommerce_dag.py x: 7 commits (all time) y: 246 lines of code datasets/scalable_open_source/pipelines/deps_dev/deps_dev_dag.py x: 3 commits (all time) y: 48 lines of code datasets/nlm_rxnorm/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 3 commits (all time) y: 433 lines of code datasets/nlm_rxnorm/pipelines/nlm_rxnorm/nlm_rxnorm_dag.py x: 3 commits (all time) y: 284 lines of code datasets/nlm_rxnorm/pipelines/nlm_rxnorm/pipeline.yaml x: 3 commits (all time) y: 267 lines of code datasets/iowa_liquor_sales/pipelines/sales/pipeline.yaml x: 6 commits (all time) y: 244 lines of code datasets/iowa_liquor_sales/pipelines/sales/sales_dag.py x: 5 commits (all time) y: 243 lines of code datasets/libraries_io/pipelines/projects/pipeline.yaml x: 3 commits (all time) y: 192 lines of code datasets/libraries_io/pipelines/projects/projects_dag.py x: 3 commits (all time) y: 217 lines of code datasets/libraries_io/pipelines/repositories/pipeline.yaml x: 4 commits (all time) y: 717 lines of code datasets/libraries_io/pipelines/repository_dependencies/pipeline.yaml x: 3 commits (all time) y: 1159 lines of code datasets/libraries_io/pipelines/tags/pipeline.yaml x: 3 commits (all time) y: 306 lines of code datasets/fda_food/pipelines/food_enforcement/food_enforcement_dag.py x: 3 commits (all time) y: 202 lines of code datasets/fda_food/pipelines/food_enforcement/pipeline.yaml x: 2 commits (all time) y: 180 lines of code datasets/imdb/pipelines/interfaces/interfaces_dag.py x: 3 commits (all time) y: 528 lines of code datasets/imdb/pipelines/interfaces/pipeline.yaml x: 3 commits (all time) y: 479 lines of code datasets/imdb/pipelines/reviews/pipeline.yaml x: 3 commits (all time) y: 147 lines of code datasets/imdb/pipelines/reviews/reviews_dag.py x: 4 commits (all time) y: 133 lines of code datasets/fdic/pipelines/institutions/pipeline.yaml x: 2 commits (all time) y: 613 lines of code datasets/fdic/pipelines/locations/locations_dag.py x: 2 commits (all time) y: 238 lines of code datasets/fdic/pipelines/locations/pipeline.yaml x: 2 commits (all time) y: 197 lines of code datasets/fec/pipelines/candidate_2016/candidate_2016_dag.py x: 2 commits (all time) y: 140 lines of code datasets/fec/pipelines/candidate_2016/pipeline.yaml x: 2 commits (all time) y: 116 lines of code datasets/fec/pipelines/committee_contributions_2020/committee_contributions_2020_dag.py x: 3 commits (all time) y: 185 lines of code datasets/fec/pipelines/individuals_ingest_2020/individuals_ingest_2020_dag.py x: 2 commits (all time) y: 1574 lines of code datasets/fec/pipelines/individuals_ingest_2020/pipeline.yaml x: 2 commits (all time) y: 1249 lines of code datasets/fec/pipelines/opex_2016/opex_2016_dag.py x: 2 commits (all time) y: 200 lines of code datasets/fec/pipelines/opex_2016/pipeline.yaml x: 2 commits (all time) y: 157 lines of code datasets/fec/pipelines/other_committee_tx_2020/pipeline.yaml x: 3 commits (all time) y: 173 lines of code datasets/fda_drug/pipelines/drug_enforcement/pipeline.yaml x: 2 commits (all time) y: 298 lines of code datasets/ebi_chembl/pipelines/ebi_chembl_old_data/ebi_chembl_old_data_dag.py x: 2 commits (all time) y: 36 lines of code datasets/census_opportunity_atlas/pipelines/census_opportunity_atlas/pipeline.yaml x: 3 commits (all time) y: 235 lines of code datasets/london_bicycles/pipelines/london_bicycles/london_bicycles_dag.py x: 2 commits (all time) y: 101 lines of code datasets/london_bicycles/pipelines/london_bicycles/pipeline.yaml x: 2 commits (all time) y: 253 lines of code datasets/covid19_google_mobility/pipelines/mobility_report/mobility_report_dag.py x: 4 commits (all time) y: 52 lines of code datasets/covid19_google_mobility/pipelines/mobility_report/pipeline.yaml x: 3 commits (all time) y: 109 lines of code datasets/covid19_italy/pipelines/data_by_province/data_by_province_dag.py x: 5 commits (all time) y: 97 lines of code datasets/covid19_italy/pipelines/data_by_province/pipeline.yaml x: 5 commits (all time) y: 152 lines of code datasets/covid19_italy/pipelines/data_by_region/pipeline.yaml x: 5 commits (all time) y: 194 lines of code datasets/covid19_italy/pipelines/national_trends/national_trends_dag.py x: 5 commits (all time) y: 149 lines of code datasets/covid19_italy/pipelines/national_trends/pipeline.yaml x: 5 commits (all time) y: 164 lines of code datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq/vaccination_access_to_bq_dag.py x: 2 commits (all time) y: 431 lines of code datasets/cms_medicare/pipelines/inpatient_charges/inpatient_charges_dag.py x: 4 commits (all time) y: 536 lines of code datasets/cms_medicare/pipelines/inpatient_charges/pipeline.yaml x: 4 commits (all time) y: 441 lines of code datasets/cms_medicare/pipelines/outpatient_charges/outpatient_charges_dag.py x: 3 commits (all time) y: 408 lines of code datasets/cms_medicare/pipelines/outpatient_charges/pipeline.yaml x: 3 commits (all time) y: 340 lines of code 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2963.0
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  average: 105.49
  25th percentile: 23.0
  median: 30.0
  75th percentile: 106.5
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File Size vs. Contributors (all time): 993 points

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code datasets/covid19_jhu_csse/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 contributors (all time) y: 269 lines of code datasets/epa_historical_air_quality/pipelines/epa_historical_air_quality_full_load/pipeline.yaml x: 1 contributors (all time) y: 1795 lines of code datasets/new_york/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 contributors (all time) y: 667 lines of code datasets/epa_historical_air_quality/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 contributors (all time) y: 626 lines of code datasets/city_health_dashboard/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 3 contributors (all time) y: 459 lines of code datasets/fec/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 contributors (all time) y: 287 lines of code datasets/cloud_datasets/infra/pdp_extract_tabular_metadata_pipeline.tf x: 1 contributors (all time) y: 227 lines of code datasets/ebi_chembl/infra/chembl_30_pipeline.tf x: 1 contributors (all time) y: 1200 lines of code datasets/new_york_taxi_trips/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 contributors (all time) y: 495 lines of code datasets/census_opportunity_atlas/infra/census_opportunity_atlas_dataset.tf x: 3 contributors (all time) y: 23 lines of code datasets/nhtsa_traffic_fatalities/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 contributors (all time) y: 497 lines of code datasets/merfish/pipelines/cell_by_gene/cell_by_gene_dag.py x: 1 contributors (all time) y: 1737 lines of code datasets/merfish/pipelines/cell_by_gene/pipeline.yaml x: 1 contributors (all time) y: 2637 lines of code datasets/the_general_index/pipelines/the_general_index/the_general_index_dag.py x: 2 contributors (all time) y: 524 lines of code datasets/census_bureau_acs/infra/census_bureau_acs_pipeline.tf x: 1 contributors (all time) y: 1185 lines of code datasets/census_bureau_acs/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 contributors (all time) y: 581 lines of code scripts/generate_terraform.py x: 1 contributors (all time) y: 327 lines of code datasets/census_opportunity_atlas/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 contributors (all time) y: 331 lines of code datasets/cloud_storage_geo_index/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 contributors (all time) y: 477 lines of code datasets/covid19_google_mobility/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 2 contributors (all time) y: 417 lines of code datasets/google_dei/pipelines/diversity_annual_report/pipeline.yaml x: 1 contributors (all time) y: 644 lines of code datasets/new_york_trees/pipelines/tree_census_2005/tree_census_2005_dag.py x: 1 contributors (all time) y: 363 lines of code datasets/epa_historical_air_quality/infra/epa_historical_air_quality_pipeline.tf x: 1 contributors (all time) y: 480 lines of code datasets/sec_failure_to_deliver/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 contributors (all time) y: 193 lines of code datasets/chicago_crime/pipelines/_images/run_csv_transform_kub/csv_transform.py x: 1 contributors (all time) y: 181 lines of code datasets/covid19_vaccination_access/pipelines/vaccination_access_to_bq/pipeline.yaml x: 1 contributors (all time) 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 (all time)
min: 1.0 | average: 1.33 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 6.0

File Size vs. Commits (30 days): 0 points

No data for "commits (30d)" vs. "lines of code".

File Size vs. Contributors (30 days): 0 points

No data for "contributors (30d)" vs. "lines of code".

File Size vs. Commits (90 days): 2 points

datasets/bls/pipelines/cpsaat18/cpsaat18_dag.py x: 1 commits (90d) y: 46 lines of code datasets/bls/pipelines/cpsaat18/pipeline.yaml x: 1 commits (90d) y: 64 lines of code
64.0
lines of code
  min: 46.0
  average: 55.0
  25th percentile: 46.0
  median: 55.0
  75th percentile: 64.0
  max: 64.0
0 1.0
commits (90d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Contributors (90 days): 2 points

datasets/bls/pipelines/cpsaat18/cpsaat18_dag.py x: 1 contributors (90d) y: 46 lines of code datasets/bls/pipelines/cpsaat18/pipeline.yaml x: 1 contributors (90d) y: 64 lines of code
64.0
lines of code
  min: 46.0
  average: 55.0
  25th percentile: 46.0
  median: 55.0
  75th percentile: 64.0
  max: 64.0
0 1.0
contributors (90d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0