guardian/nsw-charts-and-map-scripts
File Churn
File change frequency (churn) shows the distribution of file updates (days with at least one commit).
Overview
File Change Frequency Overall
  • There are 12 files with 765 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)
    • 1 file changed 6-20 times (212 lines of code)
    • 11 files changed 1-5 times (553 lines of code)
0% | 0% | 0% | 27% | 72%
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 12 files with 765 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)
    • 0 files changed by 6-10 contributors (0 lines of code)
    • 5 files changed by 2-5 contributors (259 lines of code)
    • 7 files changed by 1 contributor (506 lines of code)
0% | 0% | 0% | 33% | 66%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
py, txt, gitignore
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 27% | 72%
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
ROOT0% | 0% | 0% | 27% | 72%
Most Frequently Changed Files (Top 13)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
212 4 2020-08-02 2021-12-18 11 1 +193 / -68 nick.evershed nick.evershed
update.py
in root
 41 3 2020-08-04 2021-07-21 5 2 +101 / -4 work nick.evershed
46 2 2021-09-10 2022-04-25 3 2 +22 / -6 nick.evershed hi
54 1 2021-09-10 2021-12-21 3 2 +134 / -2 nick.evershed hi
100 1 2021-12-18 2022-04-21 3 2 +215 / -9 nick.evershed hi
10 - 2021-09-10 2021-12-18 2 1 +17 / -0 nick.evershed nick.evershed
18 1 2020-08-04 2020-12-18 2 2 +46 / -0 work nick.evershed
62 1 2021-09-10 2021-09-11 2 1 +105 / -1 nick.evershed nick.evershed
63 1 2021-12-18 2021-12-19 2 1 +109 / -2 nick.evershed nick.evershed
15 - 2021-06-24 2021-06-24 1 1 +25 / -0 nick.evershed nick.evershed
57 1 2021-09-10 2021-09-10 1 1 +112 / -0 nick.evershed nick.evershed
87 2 2021-08-03 2021-08-03 1 1 +146 / -0 nick.evershed nick.evershed
19 1
Files With Most Churn (Top 13)
Based on the number of lines added and deleted across all commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
212 4 2020-08-02 2021-12-18 11 1 +193 / -68 nick.evershed nick.evershed
100 1 2021-12-18 2022-04-21 3 2 +215 / -9 nick.evershed hi
87 2 2021-08-03 2021-08-03 1 1 +146 / -0 nick.evershed nick.evershed
54 1 2021-09-10 2021-12-21 3 2 +134 / -2 nick.evershed hi
57 1 2021-09-10 2021-09-10 1 1 +112 / -0 nick.evershed nick.evershed
63 1 2021-12-18 2021-12-19 2 1 +109 / -2 nick.evershed nick.evershed
62 1 2021-09-10 2021-09-11 2 1 +105 / -1 nick.evershed nick.evershed
update.py
in root
 41 3 2020-08-04 2021-07-21 5 2 +101 / -4 work nick.evershed
18 1 2020-08-04 2020-12-18 2 2 +46 / -0 work nick.evershed
46 2 2021-09-10 2022-04-25 3 2 +22 / -6 nick.evershed hi
15 - 2021-06-24 2021-06-24 1 1 +25 / -0 nick.evershed nick.evershed
10 - 2021-09-10 2021-12-18 2 1 +17 / -0 nick.evershed nick.evershed
19 1
Files With Most Contributors (Top 13)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
update.py
in root
 41 3 2020-08-04 2021-07-21 5 2 +101 / -4 work nick.evershed
46 2 2021-09-10 2022-04-25 3 2 +22 / -6 nick.evershed hi
54 1 2021-09-10 2021-12-21 3 2 +134 / -2 nick.evershed hi
100 1 2021-12-18 2022-04-21 3 2 +215 / -9 nick.evershed hi
18 1 2020-08-04 2020-12-18 2 2 +46 / -0 work nick.evershed
212 4 2020-08-02 2021-12-18 11 1 +193 / -68 nick.evershed nick.evershed
63 1 2021-12-18 2021-12-19 2 1 +109 / -2 nick.evershed nick.evershed
10 - 2021-09-10 2021-12-18 2 1 +17 / -0 nick.evershed nick.evershed
62 1 2021-09-10 2021-09-11 2 1 +105 / -1 nick.evershed nick.evershed
87 2 2021-08-03 2021-08-03 1 1 +146 / -0 nick.evershed nick.evershed
15 - 2021-06-24 2021-06-24 1 1 +25 / -0 nick.evershed nick.evershed
57 1 2021-09-10 2021-09-10 1 1 +112 / -0 nick.evershed nick.evershed
19 1
Files With Least Contributors (Top 13)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
19 1
212 4 2020-08-02 2021-12-18 11 1 +193 / -68 nick.evershed nick.evershed
87 2 2021-08-03 2021-08-03 1 1 +146 / -0 nick.evershed nick.evershed
63 1 2021-12-18 2021-12-19 2 1 +109 / -2 nick.evershed nick.evershed
62 1 2021-09-10 2021-09-11 2 1 +105 / -1 nick.evershed nick.evershed
57 1 2021-09-10 2021-09-10 1 1 +112 / -0 nick.evershed nick.evershed
15 - 2021-06-24 2021-06-24 1 1 +25 / -0 nick.evershed nick.evershed
10 - 2021-09-10 2021-12-18 2 1 +17 / -0 nick.evershed nick.evershed
100 1 2021-12-18 2022-04-21 3 2 +215 / -9 nick.evershed hi
54 1 2021-09-10 2021-12-21 3 2 +134 / -2 nick.evershed hi
46 2 2021-09-10 2022-04-25 3 2 +22 / -6 nick.evershed hi
update.py
in root
 41 3 2020-08-04 2021-07-21 5 2 +101 / -4 work nick.evershed
18 1 2020-08-04 2020-12-18 2 2 +46 / -0 work nick.evershed
Correlations

File Size vs. Number of Changes: 12 points

yachtCharter.py x: 46 lines of code y: 3 # changes nswMapAndLGAs.py x: 100 lines of code y: 3 # changes hospitalPercent.py x: 54 lines of code y: 3 # changes casesAndHospital.py x: 63 lines of code y: 2 # changes medicalCharts.py x: 10 lines of code y: 2 # changes nswChart.py x: 212 lines of code y: 11 # changes hospitalDeaths.py x: 62 lines of code y: 2 # changes icuCapacity.py x: 57 lines of code y: 1 # changes unknowns.py x: 87 lines of code y: 1 # changes update.py x: 41 lines of code y: 5 # changes singleLine.py x: 15 lines of code y: 1 # changes sendEmail.py x: 18 lines of code y: 2 # changes
11.0
# changes
  min: 1.0
  average: 3.0
  25th percentile: 1.25
  median: 2.0
  75th percentile: 3.0
  max: 11.0
0 212.0
lines of code
min: 10.0 | average: 63.75 | 25th percentile: 23.75 | median: 55.5 | 75th percentile: 81.0 | max: 212.0

Number of Contributors vs. Number of Changes: 12 points

yachtCharter.py x: 2 # contributors y: 3 # changes casesAndHospital.py x: 1 # contributors y: 2 # changes nswChart.py x: 1 # contributors y: 11 # changes icuCapacity.py x: 1 # contributors y: 1 # changes update.py x: 2 # contributors y: 5 # changes sendEmail.py x: 2 # contributors y: 2 # changes
11.0
# changes
  min: 1.0
  average: 3.0
  25th percentile: 1.25
  median: 2.0
  75th percentile: 3.0
  max: 11.0
0 2.0
# contributors
min: 1.0 | average: 1.42 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0

Number of Contributors vs. File Size: 12 points

yachtCharter.py x: 2 # contributors y: 46 lines of code nswMapAndLGAs.py x: 2 # contributors y: 100 lines of code hospitalPercent.py x: 2 # contributors y: 54 lines of code casesAndHospital.py x: 1 # contributors y: 63 lines of code medicalCharts.py x: 1 # contributors y: 10 lines of code nswChart.py x: 1 # contributors y: 212 lines of code hospitalDeaths.py x: 1 # contributors y: 62 lines of code icuCapacity.py x: 1 # contributors y: 57 lines of code unknowns.py x: 1 # contributors y: 87 lines of code update.py x: 2 # contributors y: 41 lines of code singleLine.py x: 1 # contributors y: 15 lines of code sendEmail.py x: 2 # contributors y: 18 lines of code
212.0
lines of code
  min: 10.0
  average: 63.75
  25th percentile: 23.75
  median: 55.5
  75th percentile: 81.0
  max: 212.0
0 2.0
# contributors
min: 1.0 | average: 1.42 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0

Number of Changes vs. Line Churn: 20 points

yachtCharter.py x: 3 # changes y: 28 line churn nswMapAndLGAs.py x: 3 # changes y: 224 line churn hospitalPercent.py x: 3 # changes y: 136 line churn casesAndHospital.py x: 2 # changes y: 111 line churn medicalCharts.py x: 2 # changes y: 17 line churn nswChart.py x: 11 # changes y: 261 line churn covid-live.json x: 1 # changes y: 2 line churn lga-cases.csv x: 7 # changes y: 474 line churn nsw-cases.csv x: 2 # changes y: 168 line churn nsw-local.csv x: 8 # changes y: 5374 line churn icuCapacity.py x: 1 # changes y: 112 line churn unknowns.py x: 1 # changes y: 146 line churn update.py x: 5 # changes y: 105 line churn singleLine.py x: 1 # changes y: 25 line churn sendEmail.py x: 2 # changes y: 46 line churn
5374.0
line churn
  min: 2.0
  average: 378.45
  25th percentile: 19.0
  median: 108.5
  75th percentile: 208.5
  max: 5374.0
0 11.0
# changes
min: 1.0 | average: 3.1 | 25th percentile: 1.25 | median: 2.0 | 75th percentile: 3.0 | max: 11.0

Number of Contributors vs. Line Churn: 12 points

yachtCharter.py x: 2 # contributors y: 28 line churn nswMapAndLGAs.py x: 2 # contributors y: 224 line churn hospitalPercent.py x: 2 # contributors y: 136 line churn casesAndHospital.py x: 1 # contributors y: 111 line churn medicalCharts.py x: 1 # contributors y: 17 line churn nswChart.py x: 1 # contributors y: 261 line churn hospitalDeaths.py x: 1 # contributors y: 106 line churn unknowns.py x: 1 # contributors y: 146 line churn update.py x: 2 # contributors y: 105 line churn singleLine.py x: 1 # contributors y: 25 line churn sendEmail.py x: 2 # contributors y: 46 line churn
261.0
line churn
  min: 17.0
  average: 109.75
  25th percentile: 32.5
  median: 108.5
  75th percentile: 143.5
  max: 261.0
0 2.0
# contributors
min: 1.0 | average: 1.42 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0

File Size vs. Line Churn: 12 points

yachtCharter.py x: 46 lines of code y: 28 line churn nswMapAndLGAs.py x: 100 lines of code y: 224 line churn hospitalPercent.py x: 54 lines of code y: 136 line churn casesAndHospital.py x: 63 lines of code y: 111 line churn medicalCharts.py x: 10 lines of code y: 17 line churn nswChart.py x: 212 lines of code y: 261 line churn hospitalDeaths.py x: 62 lines of code y: 106 line churn icuCapacity.py x: 57 lines of code y: 112 line churn unknowns.py x: 87 lines of code y: 146 line churn update.py x: 41 lines of code y: 105 line churn singleLine.py x: 15 lines of code y: 25 line churn sendEmail.py x: 18 lines of code y: 46 line churn
261.0
line churn
  min: 17.0
  average: 109.75
  25th percentile: 32.5
  median: 108.5
  75th percentile: 143.5
  max: 261.0
0 212.0
lines of code
min: 10.0 | average: 63.75 | 25th percentile: 23.75 | median: 55.5 | 75th percentile: 81.0 | max: 212.0