guardian/dev-nginx
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 0 files with 0 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)
    • 0 files changed 6-20 times (0 lines of code)
    • 0 files changed 1-5 times (0 lines of code)
0% | 0% | 0% | 0% | 0%
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 0 files with 0 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)
    • 0 files changed by 2-5 contributors (0 lines of code)
    • 0 files changed by 1 contributor (0 lines of code)
0% | 0% | 0% | 0% | 0%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
txt, md, sh, gitignore, editorconfig, yaml
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
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
Most Frequently Changed Files (Top 0)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
Files With Most Contributors (Top 0)
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
Files With Least Contributors (Top 0)
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
Correlations

File Size vs. Number of Changes: 0 points

No data for "lines of code" vs. "# changes".

Number of Contributors vs. Number of Changes: 0 points

No data for "# contributors" vs. "# changes".

Number of Contributors vs. File Size: 0 points

No data for "# contributors" vs. "lines of code".

Number of Changes vs. Line Churn: 27 points

.github/CODEOWNERS x: 1 # changes y: 2 line churn .github/workflows/check-labels.yaml x: 2 # changes y: 18 line churn TROUBLESHOOTING.md x: 4 # changes y: 164 line churn script/setup-app x: 10 # changes y: 254 line churn README.md x: 27 # changes y: 921 line churn script/start x: 2 # changes y: 104 line churn script/locate x: 1 # changes y: 10 line churn script/locate-nginx x: 4 # changes y: 24 line churn script/restart x: 1 # changes y: 28 line churn script/restart-nginx x: 4 # changes y: 60 line churn EXPLAINER.md x: 1 # changes y: 36 line churn script/link-config x: 5 # changes y: 74 line churn .gitignore x: 3 # changes y: 9 line churn script/add-to-hosts-file x: 3 # changes y: 48 line churn bin/dev-nginx x: 3 # changes y: 96 line churn .editorconfig x: 2 # changes y: 20 line churn locate-nginx.sh x: 2 # changes y: 6 line churn restart-nginx.sh x: 6 # changes y: 52 line churn script/setup-cert x: 2 # changes y: 140 line churn setup-app.rb x: 33 # changes y: 544 line churn setup-certs.sh x: 6 # changes y: 243 line churn dev-nginx x: 1 # changes y: 58 line churn migrate-certs.sh x: 4 # changes y: 228 line churn green-padlock.md x: 2 # changes y: 136 line churn setup-app.sh x: 1 # changes y: 46 line churn
921.0
line churn
  min: 2.0
  average: 124.48
  25th percentile: 20.0
  median: 52.0
  75th percentile: 140.0
  max: 921.0
0 33.0
# changes
min: 1.0 | average: 4.93 | 25th percentile: 1.0 | median: 2.0 | 75th percentile: 4.0 | max: 33.0

Number of Contributors vs. Line Churn: 0 points

No data for "# contributors" vs. "line churn".

File Size vs. Line Churn: 0 points

No data for "lines of code" vs. "line churn".