guardian/oz-vic-covid-hospitalisations
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 4 files with 152 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)
    • 4 files changed 1-5 times (152 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 4 files with 152 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)
    • 4 files changed by 1 contributor (152 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
txt, py
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
50 - 2021-09-29 2021-10-07 2 1 +97 / -2 hi hi
3 - 2021-10-14 2021-10-14 1 1 +3 / -0 hi hi
45 - 2021-09-29 2021-09-29 1 1 +101 / -2 hi hi
54 1 2021-09-29 2021-09-29 1 1 +105 / -1 hi hi
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
54 1 2021-09-29 2021-09-29 1 1 +105 / -1 hi hi
45 - 2021-09-29 2021-09-29 1 1 +101 / -2 hi hi
50 - 2021-09-29 2021-10-07 2 1 +97 / -2 hi hi
3 - 2021-10-14 2021-10-14 1 1 +3 / -0 hi hi
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
50 - 2021-09-29 2021-10-07 2 1 +97 / -2 hi hi
45 - 2021-09-29 2021-09-29 1 1 +101 / -2 hi hi
3 - 2021-10-14 2021-10-14 1 1 +3 / -0 hi hi
54 1 2021-09-29 2021-09-29 1 1 +105 / -1 hi hi
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
54 1 2021-09-29 2021-09-29 1 1 +105 / -1 hi hi
50 - 2021-09-29 2021-10-07 2 1 +97 / -2 hi hi
45 - 2021-09-29 2021-09-29 1 1 +101 / -2 hi hi
3 - 2021-10-14 2021-10-14 1 1 +3 / -0 hi hi
Correlations

File Size vs. Number of Changes: 4 points

hosp_run.py x: 3 lines of code y: 1 # changes vic_icu_line.py x: 50 lines of code y: 2 # changes hosp_multiples.py x: 54 lines of code y: 1 # changes vic_hospitalised_line.py x: 45 lines of code y: 1 # changes
2.0
# changes
  min: 1.0
  average: 1.25
  25th percentile: 1.0
  median: 1.0
  75th percentile: 1.75
  max: 2.0
0 54.0
lines of code
min: 3.0 | average: 38.0 | 25th percentile: 13.5 | median: 47.5 | 75th percentile: 53.0 | max: 54.0

Number of Contributors vs. Number of Changes: 4 points

hosp_run.py x: 1 # contributors y: 1 # changes vic_icu_line.py x: 1 # contributors y: 2 # changes
2.0
# changes
  min: 1.0
  average: 1.25
  25th percentile: 1.0
  median: 1.0
  75th percentile: 1.75
  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: 4 points

hosp_run.py x: 1 # contributors y: 3 lines of code vic_icu_line.py x: 1 # contributors y: 50 lines of code hosp_multiples.py x: 1 # contributors y: 54 lines of code vic_hospitalised_line.py x: 1 # contributors y: 45 lines of code
54.0
lines of code
  min: 3.0
  average: 38.0
  25th percentile: 13.5
  median: 47.5
  75th percentile: 53.0
  max: 54.0
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: 4 points

hosp_run.py x: 1 # changes y: 3 line churn vic_icu_line.py x: 2 # changes y: 99 line churn hosp_multiples.py x: 1 # changes y: 106 line churn vic_hospitalised_line.py x: 1 # changes y: 103 line churn
106.0
line churn
  min: 3.0
  average: 77.75
  25th percentile: 27.0
  median: 101.0
  75th percentile: 105.25
  max: 106.0
0 2.0
# changes
min: 1.0 | average: 1.25 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.75 | max: 2.0

Number of Contributors vs. Line Churn: 4 points

hosp_run.py x: 1 # contributors y: 3 line churn vic_icu_line.py x: 1 # contributors y: 99 line churn hosp_multiples.py x: 1 # contributors y: 106 line churn vic_hospitalised_line.py x: 1 # contributors y: 103 line churn
106.0
line churn
  min: 3.0
  average: 77.75
  25th percentile: 27.0
  median: 101.0
  75th percentile: 105.25
  max: 106.0
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: 4 points

hosp_run.py x: 3 lines of code y: 3 line churn vic_icu_line.py x: 50 lines of code y: 99 line churn hosp_multiples.py x: 54 lines of code y: 106 line churn vic_hospitalised_line.py x: 45 lines of code y: 103 line churn
106.0
line churn
  min: 3.0
  average: 77.75
  25th percentile: 27.0
  median: 101.0
  75th percentile: 105.25
  max: 106.0
0 54.0
lines of code
min: 3.0 | average: 38.0 | 25th percentile: 13.5 | median: 47.5 | 75th percentile: 53.0 | max: 54.0