GoogleCloudPlatform / data-science-on-gcp
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 35 files with 5,263 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 1 file changed 21-50 times (78 lines of code)
    • 6 files changed 6-20 times (635 lines of code)
    • 28 files changed 1-5 times (4,550 lines of code)
0% | 0% | 1% | 12% | 86%
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 35 files with 5,263 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 (78 lines of code)
    • 32 files changed by 2-5 contributors (3,736 lines of code)
    • 2 files changed by 1 contributor (1,449 lines of code)
0% | 0% | 1% | 70% | 27%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
sh, py, md, ipynb, json, gitignore, sql, txt, dockerignore, yaml
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 3% | 30% | 66%
ipynb0% | 0% | 0% | 0% | 100%
sql0% | 0% | 0% | 0% | 100%
yaml0% | 0% | 0% | 0% | 100%
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
04_streaming0% | 0% | 8% | 45% | 45%
07_sparkml0% | 0% | 0% | 94% | 5%
02_ingest0% | 0% | 0% | 100% | 0%
08_bqml0% | 0% | 0% | 0% | 100%
10_mlops0% | 0% | 0% | 0% | 100%
11_realtime0% | 0% | 0% | 0% | 100%
03_sqlstudio0% | 0% | 0% | 0% | 100%
06_dataproc0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 35)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
simulate.py
in 04_streaming/simulate
 78 2 2016-12-15 2022-02-28 21 8 vlakshmanan@google.com lak@vlakshman.com
experiment.py
in 07_sparkml
 130 4 2017-01-22 2022-02-28 11 4 vlakshmanan@google.com lak@vlakshman.com
main.py
in 02_ingest/monthlyupdate
 25 1 2016-11-23 2022-02-28 9 5 lakshmanok@gmail.com lak@vlakshman.com
logistic.py
in 07_sparkml
 75 2 2017-01-18 2022-02-28 6 3 vlakshmanan@google.com lak@vlakshman.com
df05.py
in 04_streaming/transform
 94 6 2021-09-28 2022-02-28 6 3 lakshmanok@gmail.com lak@vlakshman.com
df07.py
in 04_streaming/transform
 148 8 2021-09-28 2022-02-28 6 4 lakshmanok@gmail.com lak@vlakshman.com
df06.py
in 04_streaming/transform
 163 7 2021-09-28 2022-02-28 6 3 lakshmanok@gmail.com lak@vlakshman.com
create_traindata.py
in 11_realtime
 84 2 2022-01-03 2022-02-28 5 4 lakshmanok@gmail.com lak@vlakshman.com
df01.py
in 04_streaming/transform
 13 - 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df02.py
in 04_streaming/transform
 22 1 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
change_ch10_files.py
in 11_realtime
 23 - 2022-01-06 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
create_views.sql
in 03_sqlstudio
 29 - 2016-12-07 2022-02-28 4 2 lakshmanok@gmail.com lak@vlakshman.com
setup.py
in 04_streaming/transform
 41 4 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df03.py
in 04_streaming/transform
 52 3 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df04.py
in 04_streaming/transform
 70 4 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
create_table.sql
in 03_sqlstudio
 113 - 2016-06-07 2022-02-28 4 2 lakshmanok@gmail.com lak@vlakshman.com
make_predictions.py
in 11_realtime
 144 4 2022-01-03 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
model.py
in 10_mlops
 249 6 2022-01-03 2022-03-05 4 2 lakshmanok@gmail.com lak@vlakshman.com
252 5 2022-01-03 2022-03-29 4 4 lakshmanok@gmail.com joe.mansfield@sureskills.com
contingency1.sql
in 03_sqlstudio
 4 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency2.sql
in 03_sqlstudio
 10 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency3.sql
in 03_sqlstudio
 10 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency4.sql
in 03_sqlstudio
 18 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
setup.py
in 11_realtime
 42 4 2022-01-03 2022-02-28 3 3 lakshmanok@gmail.com lak@vlakshman.com
632 - 2021-10-24 2022-02-28 3 1 lak@vlakshman.com lak@vlakshman.com
817 - 2021-10-30 2022-02-28 3 1 lak@vlakshman.com lak@vlakshman.com
1515 - 2021-10-19 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
__init__.py
in 11_realtime/flightstxf
 1 - 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
autoscale.yaml
in 07_sparkml
 11 - 2021-10-19 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
call_predict.py
in 10_mlops
 23 - 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
avg01.py
in 04_streaming/realtime
 52 1 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
bayes_on_spark.py
in 06_dataproc
 53 1 2021-10-05 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
avg03.py
in 04_streaming/realtime
 74 3 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
avg02.py
in 04_streaming/realtime
 74 3 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
flights_transforms.py
in 11_realtime/flightstxf
 122 10 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
Files With Most Contributors (Top 35)
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
simulate.py
in 04_streaming/simulate
 78 2 2016-12-15 2022-02-28 21 8 vlakshmanan@google.com lak@vlakshman.com
main.py
in 02_ingest/monthlyupdate
 25 1 2016-11-23 2022-02-28 9 5 lakshmanok@gmail.com lak@vlakshman.com
experiment.py
in 07_sparkml
 130 4 2017-01-22 2022-02-28 11 4 vlakshmanan@google.com lak@vlakshman.com
df07.py
in 04_streaming/transform
 148 8 2021-09-28 2022-02-28 6 4 lakshmanok@gmail.com lak@vlakshman.com
create_traindata.py
in 11_realtime
 84 2 2022-01-03 2022-02-28 5 4 lakshmanok@gmail.com lak@vlakshman.com
252 5 2022-01-03 2022-03-29 4 4 lakshmanok@gmail.com joe.mansfield@sureskills.com
df06.py
in 04_streaming/transform
 163 7 2021-09-28 2022-02-28 6 3 lakshmanok@gmail.com lak@vlakshman.com
df05.py
in 04_streaming/transform
 94 6 2021-09-28 2022-02-28 6 3 lakshmanok@gmail.com lak@vlakshman.com
logistic.py
in 07_sparkml
 75 2 2017-01-18 2022-02-28 6 3 vlakshmanan@google.com lak@vlakshman.com
df04.py
in 04_streaming/transform
 70 4 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df01.py
in 04_streaming/transform
 13 - 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df03.py
in 04_streaming/transform
 52 3 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
setup.py
in 04_streaming/transform
 41 4 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df02.py
in 04_streaming/transform
 22 1 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
make_predictions.py
in 11_realtime
 144 4 2022-01-03 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
change_ch10_files.py
in 11_realtime
 23 - 2022-01-06 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
setup.py
in 11_realtime
 42 4 2022-01-03 2022-02-28 3 3 lakshmanok@gmail.com lak@vlakshman.com
create_table.sql
in 03_sqlstudio
 113 - 2016-06-07 2022-02-28 4 2 lakshmanok@gmail.com lak@vlakshman.com
create_views.sql
in 03_sqlstudio
 29 - 2016-12-07 2022-02-28 4 2 lakshmanok@gmail.com lak@vlakshman.com
model.py
in 10_mlops
 249 6 2022-01-03 2022-03-05 4 2 lakshmanok@gmail.com lak@vlakshman.com
contingency3.sql
in 03_sqlstudio
 10 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency1.sql
in 03_sqlstudio
 4 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency2.sql
in 03_sqlstudio
 10 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency4.sql
in 03_sqlstudio
 18 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
1515 - 2021-10-19 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
avg02.py
in 04_streaming/realtime
 74 3 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
avg03.py
in 04_streaming/realtime
 74 3 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
avg01.py
in 04_streaming/realtime
 52 1 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
autoscale.yaml
in 07_sparkml
 11 - 2021-10-19 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
__init__.py
in 11_realtime/flightstxf
 1 - 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
flights_transforms.py
in 11_realtime/flightstxf
 122 10 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
bayes_on_spark.py
in 06_dataproc
 53 1 2021-10-05 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
call_predict.py
in 10_mlops
 23 - 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
817 - 2021-10-30 2022-02-28 3 1 lak@vlakshman.com lak@vlakshman.com
632 - 2021-10-24 2022-02-28 3 1 lak@vlakshman.com lak@vlakshman.com
Files With Least Contributors (Top 35)
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
817 - 2021-10-30 2022-02-28 3 1 lak@vlakshman.com lak@vlakshman.com
632 - 2021-10-24 2022-02-28 3 1 lak@vlakshman.com lak@vlakshman.com
1515 - 2021-10-19 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
model.py
in 10_mlops
 249 6 2022-01-03 2022-03-05 4 2 lakshmanok@gmail.com lak@vlakshman.com
flights_transforms.py
in 11_realtime/flightstxf
 122 10 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
create_table.sql
in 03_sqlstudio
 113 - 2016-06-07 2022-02-28 4 2 lakshmanok@gmail.com lak@vlakshman.com
avg02.py
in 04_streaming/realtime
 74 3 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
avg03.py
in 04_streaming/realtime
 74 3 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
bayes_on_spark.py
in 06_dataproc
 53 1 2021-10-05 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
avg01.py
in 04_streaming/realtime
 52 1 2021-09-29 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
create_views.sql
in 03_sqlstudio
 29 - 2016-12-07 2022-02-28 4 2 lakshmanok@gmail.com lak@vlakshman.com
call_predict.py
in 10_mlops
 23 - 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
contingency4.sql
in 03_sqlstudio
 18 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
autoscale.yaml
in 07_sparkml
 11 - 2021-10-19 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
contingency3.sql
in 03_sqlstudio
 10 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency2.sql
in 03_sqlstudio
 10 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
contingency1.sql
in 03_sqlstudio
 4 - 2021-09-22 2022-02-28 3 2 lakshmanok@gmail.com lak@vlakshman.com
__init__.py
in 11_realtime/flightstxf
 1 - 2022-01-03 2022-02-28 2 2 lakshmanok@gmail.com lak@vlakshman.com
df06.py
in 04_streaming/transform
 163 7 2021-09-28 2022-02-28 6 3 lakshmanok@gmail.com lak@vlakshman.com
make_predictions.py
in 11_realtime
 144 4 2022-01-03 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df05.py
in 04_streaming/transform
 94 6 2021-09-28 2022-02-28 6 3 lakshmanok@gmail.com lak@vlakshman.com
logistic.py
in 07_sparkml
 75 2 2017-01-18 2022-02-28 6 3 vlakshmanan@google.com lak@vlakshman.com
df04.py
in 04_streaming/transform
 70 4 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df03.py
in 04_streaming/transform
 52 3 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
setup.py
in 11_realtime
 42 4 2022-01-03 2022-02-28 3 3 lakshmanok@gmail.com lak@vlakshman.com
setup.py
in 04_streaming/transform
 41 4 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
change_ch10_files.py
in 11_realtime
 23 - 2022-01-06 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df02.py
in 04_streaming/transform
 22 1 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
df01.py
in 04_streaming/transform
 13 - 2021-09-28 2022-02-28 4 3 lakshmanok@gmail.com lak@vlakshman.com
252 5 2022-01-03 2022-03-29 4 4 lakshmanok@gmail.com joe.mansfield@sureskills.com
df07.py
in 04_streaming/transform
 148 8 2021-09-28 2022-02-28 6 4 lakshmanok@gmail.com lak@vlakshman.com
experiment.py
in 07_sparkml
 130 4 2017-01-22 2022-02-28 11 4 vlakshmanan@google.com lak@vlakshman.com
create_traindata.py
in 11_realtime
 84 2 2022-01-03 2022-02-28 5 4 lakshmanok@gmail.com lak@vlakshman.com
main.py
in 02_ingest/monthlyupdate
 25 1 2016-11-23 2022-02-28 9 5 lakshmanok@gmail.com lak@vlakshman.com
simulate.py
in 04_streaming/simulate
 78 2 2016-12-15 2022-02-28 21 8 vlakshmanan@google.com lak@vlakshman.com
Correlations

File Size vs. Number of Changes: 35 points

10_mlops/train_on_vertexai.py x: 252 lines of code y: 4 # changes 10_mlops/model.py x: 249 lines of code y: 4 # changes 02_ingest/monthlyupdate/main.py x: 25 lines of code y: 9 # changes 03_sqlstudio/contingency1.sql x: 4 lines of code y: 3 # changes 03_sqlstudio/contingency2.sql x: 10 lines of code y: 3 # changes 03_sqlstudio/contingency4.sql x: 18 lines of code y: 3 # changes 03_sqlstudio/create_table.sql x: 113 lines of code y: 4 # changes 03_sqlstudio/create_views.sql x: 29 lines of code y: 4 # changes 04_streaming/realtime/avg01.py x: 52 lines of code y: 2 # changes 04_streaming/realtime/avg02.py x: 74 lines of code y: 2 # changes 04_streaming/simulate/simulate.py x: 78 lines of code y: 21 # changes 04_streaming/transform/df01.py x: 13 lines of code y: 4 # changes 04_streaming/transform/df02.py x: 22 lines of code y: 4 # changes 04_streaming/transform/df03.py x: 52 lines of code y: 4 # changes 04_streaming/transform/df04.py x: 70 lines of code y: 4 # changes 04_streaming/transform/df05.py x: 94 lines of code y: 6 # changes 04_streaming/transform/df06.py x: 163 lines of code y: 6 # changes 04_streaming/transform/df07.py x: 148 lines of code y: 6 # changes 04_streaming/transform/setup.py x: 41 lines of code y: 4 # changes 07_sparkml/autoscale.yaml x: 11 lines of code y: 2 # changes 07_sparkml/experiment.py x: 130 lines of code y: 11 # changes 07_sparkml/logistic.py x: 75 lines of code y: 6 # changes 08_bqml/bqml_logistic.ipynb x: 1515 lines of code y: 3 # changes 08_bqml/bqml_nonlinear.ipynb x: 632 lines of code y: 3 # changes 08_bqml/bqml_timetxf.ipynb x: 817 lines of code y: 3 # changes 10_mlops/call_predict.py x: 23 lines of code y: 2 # changes 11_realtime/create_traindata.py x: 84 lines of code y: 5 # changes 11_realtime/flightstxf/__init__.py x: 1 lines of code y: 2 # changes 11_realtime/flightstxf/flights_transforms.py x: 122 lines of code y: 2 # changes 11_realtime/make_predictions.py x: 144 lines of code y: 4 # changes 11_realtime/setup.py x: 42 lines of code y: 3 # changes
21.0
# changes
  min: 2.0
  average: 4.4
  25th percentile: 3.0
  median: 4.0
  75th percentile: 4.0
  max: 21.0
0 1515.0
lines of code
min: 1.0 | average: 150.37 | 25th percentile: 23.0 | median: 70.0 | 75th percentile: 130.0 | max: 1515.0

Number of Contributors vs. Number of Changes: 35 points

10_mlops/train_on_vertexai.py x: 4 # contributors y: 4 # changes 10_mlops/model.py x: 2 # contributors y: 4 # changes 02_ingest/monthlyupdate/main.py x: 5 # contributors y: 9 # changes 03_sqlstudio/contingency1.sql x: 2 # contributors y: 3 # changes 04_streaming/realtime/avg01.py x: 2 # contributors y: 2 # changes 04_streaming/simulate/simulate.py x: 8 # contributors y: 21 # changes 04_streaming/transform/df01.py x: 3 # contributors y: 4 # changes 04_streaming/transform/df05.py x: 3 # contributors y: 6 # changes 04_streaming/transform/df07.py x: 4 # contributors y: 6 # changes 07_sparkml/experiment.py x: 4 # contributors y: 11 # changes 08_bqml/bqml_nonlinear.ipynb x: 1 # contributors y: 3 # changes 11_realtime/create_traindata.py x: 4 # contributors y: 5 # changes 11_realtime/setup.py x: 3 # contributors y: 3 # changes
21.0
# changes
  min: 2.0
  average: 4.4
  25th percentile: 3.0
  median: 4.0
  75th percentile: 4.0
  max: 21.0
0 8.0
# contributors
min: 1.0 | average: 2.74 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 3.0 | max: 8.0

Number of Contributors vs. File Size: 35 points

10_mlops/train_on_vertexai.py x: 4 # contributors y: 252 lines of code 10_mlops/model.py x: 2 # contributors y: 249 lines of code 02_ingest/monthlyupdate/main.py x: 5 # contributors y: 25 lines of code 03_sqlstudio/contingency1.sql x: 2 # contributors y: 4 lines of code 03_sqlstudio/contingency2.sql x: 2 # contributors y: 10 lines of code 03_sqlstudio/contingency4.sql x: 2 # contributors y: 18 lines of code 03_sqlstudio/create_table.sql x: 2 # contributors y: 113 lines of code 03_sqlstudio/create_views.sql x: 2 # contributors y: 29 lines of code 04_streaming/realtime/avg01.py x: 2 # contributors y: 52 lines of code 04_streaming/realtime/avg02.py x: 2 # contributors y: 74 lines of code 04_streaming/simulate/simulate.py x: 8 # contributors y: 78 lines of code 04_streaming/transform/df01.py x: 3 # contributors y: 13 lines of code 04_streaming/transform/df02.py x: 3 # contributors y: 22 lines of code 04_streaming/transform/df03.py x: 3 # contributors y: 52 lines of code 04_streaming/transform/df04.py x: 3 # contributors y: 70 lines of code 04_streaming/transform/df05.py x: 3 # contributors y: 94 lines of code 04_streaming/transform/df06.py x: 3 # contributors y: 163 lines of code 04_streaming/transform/df07.py x: 4 # contributors y: 148 lines of code 04_streaming/transform/setup.py x: 3 # contributors y: 41 lines of code 07_sparkml/experiment.py x: 4 # contributors y: 130 lines of code 07_sparkml/logistic.py x: 3 # contributors y: 75 lines of code 08_bqml/bqml_logistic.ipynb x: 2 # contributors y: 1515 lines of code 08_bqml/bqml_nonlinear.ipynb x: 1 # contributors y: 632 lines of code 08_bqml/bqml_timetxf.ipynb x: 1 # contributors y: 817 lines of code 11_realtime/create_traindata.py x: 4 # contributors y: 84 lines of code 11_realtime/flightstxf/flights_transforms.py x: 2 # contributors y: 122 lines of code 11_realtime/make_predictions.py x: 3 # contributors y: 144 lines of code 11_realtime/setup.py x: 3 # contributors y: 42 lines of code
1515.0
lines of code
  min: 1.0
  average: 150.37
  25th percentile: 23.0
  median: 70.0
  75th percentile: 130.0
  max: 1515.0
0 8.0
# contributors
min: 1.0 | average: 2.74 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 3.0 | max: 8.0