guardian/aus-byelections-2018-feed-parser
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 3 files with 262 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)
    • 3 files changed 1-5 times (262 lines of code)
0% | 0% | 0% | 0% | 100%
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 3 files with 262 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)
    • 3 files changed by 1 contributor (262 lines of code)
0% | 0% | 0% | 0% | 100%
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% | 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
ROOT0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 4)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
parser.py
in root
 91 1 2018-07-24 2018-07-28 2 1 +57 / -48 nick.evershed nick.evershed
68 1 2018-07-24 2018-07-24 1 1 +33 / -13 nick.evershed nick.evershed
103 3 2018-07-24 2018-07-24 1 1 +10 / -28 nick.evershed nick.evershed
23 1
Files With Most Churn (Top 4)
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
parser.py
in root
 91 1 2018-07-24 2018-07-28 2 1 +57 / -48 nick.evershed nick.evershed
68 1 2018-07-24 2018-07-24 1 1 +33 / -13 nick.evershed nick.evershed
103 3 2018-07-24 2018-07-24 1 1 +10 / -28 nick.evershed nick.evershed
23 1
Files With Most Contributors (Top 4)
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
parser.py
in root
 91 1 2018-07-24 2018-07-28 2 1 +57 / -48 nick.evershed nick.evershed
103 3 2018-07-24 2018-07-24 1 1 +10 / -28 nick.evershed nick.evershed
68 1 2018-07-24 2018-07-24 1 1 +33 / -13 nick.evershed nick.evershed
23 1
Files With Least Contributors (Top 4)
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
23 1
103 3 2018-07-24 2018-07-24 1 1 +10 / -28 nick.evershed nick.evershed
parser.py
in root
 91 1 2018-07-24 2018-07-28 2 1 +57 / -48 nick.evershed nick.evershed
68 1 2018-07-24 2018-07-24 1 1 +33 / -13 nick.evershed nick.evershed
Correlations

File Size vs. Number of Changes: 3 points

parser.py x: 91 lines of code y: 2 # changes emlparse.py x: 103 lines of code y: 1 # changes logresults.py x: 68 lines of code y: 1 # changes
2.0
# changes
  min: 1.0
  average: 1.33
  25th percentile: 1.0
  median: 1.0
  75th percentile: 2.0
  max: 2.0
0 103.0
lines of code
min: 68.0 | average: 87.33 | 25th percentile: 68.0 | median: 91.0 | 75th percentile: 103.0 | max: 103.0

Number of Contributors vs. Number of Changes: 3 points

parser.py x: 1 # contributors y: 2 # changes emlparse.py x: 1 # contributors y: 1 # changes
2.0
# changes
  min: 1.0
  average: 1.33
  25th percentile: 1.0
  median: 1.0
  75th percentile: 2.0
  max: 2.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Contributors vs. File Size: 3 points

parser.py x: 1 # contributors y: 91 lines of code emlparse.py x: 1 # contributors y: 103 lines of code logresults.py x: 1 # contributors y: 68 lines of code
103.0
lines of code
  min: 68.0
  average: 87.33
  25th percentile: 68.0
  median: 91.0
  75th percentile: 103.0
  max: 103.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Changes vs. Line Churn: 3 points

parser.py x: 2 # changes y: 105 line churn emlparse.py x: 1 # changes y: 38 line churn logresults.py x: 1 # changes y: 46 line churn
105.0
line churn
  min: 38.0
  average: 63.0
  25th percentile: 38.0
  median: 46.0
  75th percentile: 105.0
  max: 105.0
0 2.0
# changes
min: 1.0 | average: 1.33 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0

Number of Contributors vs. Line Churn: 3 points

parser.py x: 1 # contributors y: 105 line churn emlparse.py x: 1 # contributors y: 38 line churn logresults.py x: 1 # contributors y: 46 line churn
105.0
line churn
  min: 38.0
  average: 63.0
  25th percentile: 38.0
  median: 46.0
  75th percentile: 105.0
  max: 105.0
0 1.0
# contributors
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Line Churn: 3 points

parser.py x: 91 lines of code y: 105 line churn emlparse.py x: 103 lines of code y: 38 line churn logresults.py x: 68 lines of code y: 46 line churn
105.0
line churn
  min: 38.0
  average: 63.0
  25th percentile: 38.0
  median: 46.0
  75th percentile: 105.0
  max: 105.0
0 103.0
lines of code
min: 68.0 | average: 87.33 | 25th percentile: 68.0 | median: 91.0 | 75th percentile: 103.0 | max: 103.0