guardian/oz-230920-dblogs-heatwaves-deaths-risk
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 13 files with 864 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)
    • 13 files changed 1-5 times (864 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 13 files with 864 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)
    • 13 files changed by 1 contributor (864 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, ipynb
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%
ipynb0% | 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
charts0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 13)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
36 - 2023-10-25 2023-10-26 2 1 +67 / -1 hi hi
37 - 2023-10-25 2023-12-01 2 1 +69 / -1 hi hi
39 - 2023-10-25 2023-10-26 2 1 +69 / -1 hi hi
52 - 2023-10-25 2023-10-26 2 1 +112 / -6 hi hi
394 - 2023-09-27 2023-10-25 2 1 +404 / -10 hi hi
11 - 2023-10-25 2023-10-25 1 1 +42 / -0 hi hi
24 - 2023-10-25 2023-10-25 1 1 +117 / -0 hi hi
35 - 2023-10-25 2023-10-25 1 1 +57 / -0 hi hi
44 - 2023-10-25 2023-10-25 1 1 +84 / -0 hi hi
48 - 2023-09-27 2023-09-27 1 1 +101 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +99 / -0 hi hi
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
394 - 2023-09-27 2023-10-25 2 1 +404 / -10 hi hi
52 - 2023-10-25 2023-10-26 2 1 +112 / -6 hi hi
24 - 2023-10-25 2023-10-25 1 1 +117 / -0 hi hi
48 - 2023-09-27 2023-09-27 1 1 +101 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +99 / -0 hi hi
44 - 2023-10-25 2023-10-25 1 1 +84 / -0 hi hi
37 - 2023-10-25 2023-12-01 2 1 +69 / -1 hi hi
39 - 2023-10-25 2023-10-26 2 1 +69 / -1 hi hi
36 - 2023-10-25 2023-10-26 2 1 +67 / -1 hi hi
35 - 2023-10-25 2023-10-25 1 1 +57 / -0 hi hi
11 - 2023-10-25 2023-10-25 1 1 +42 / -0 hi hi
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
394 - 2023-09-27 2023-10-25 2 1 +404 / -10 hi hi
36 - 2023-10-25 2023-10-26 2 1 +67 / -1 hi hi
37 - 2023-10-25 2023-12-01 2 1 +69 / -1 hi hi
39 - 2023-10-25 2023-10-26 2 1 +69 / -1 hi hi
52 - 2023-10-25 2023-10-26 2 1 +112 / -6 hi hi
48 - 2023-10-25 2023-10-25 1 1 +99 / -0 hi hi
11 - 2023-10-25 2023-10-25 1 1 +42 / -0 hi hi
35 - 2023-10-25 2023-10-25 1 1 +57 / -0 hi hi
44 - 2023-10-25 2023-10-25 1 1 +84 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
24 - 2023-10-25 2023-10-25 1 1 +117 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
48 - 2023-09-27 2023-09-27 1 1 +101 / -0 hi hi
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
394 - 2023-09-27 2023-10-25 2 1 +404 / -10 hi hi
52 - 2023-10-25 2023-10-26 2 1 +112 / -6 hi hi
48 - 2023-10-25 2023-10-25 1 1 +99 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
48 - 2023-10-25 2023-10-25 1 1 +101 / -0 hi hi
48 - 2023-09-27 2023-09-27 1 1 +101 / -0 hi hi
44 - 2023-10-25 2023-10-25 1 1 +84 / -0 hi hi
39 - 2023-10-25 2023-10-26 2 1 +69 / -1 hi hi
37 - 2023-10-25 2023-12-01 2 1 +69 / -1 hi hi
36 - 2023-10-25 2023-10-26 2 1 +67 / -1 hi hi
35 - 2023-10-25 2023-10-25 1 1 +57 / -0 hi hi
24 - 2023-10-25 2023-10-25 1 1 +117 / -0 hi hi
11 - 2023-10-25 2023-10-25 1 1 +42 / -0 hi hi
Correlations

File Size vs. Number of Changes: 13 points

charts/fatalities_age_frontiers_bars.py x: 37 lines of code y: 2 # changes charts/acoss_survey_bars.py x: 39 lines of code y: 2 # changes charts/heatwave_deaths_irsad_bars.py x: 36 lines of code y: 2 # changes charts/new_abs_underlying_deaths_bars.py x: 52 lines of code y: 2 # changes abs_underlying_extraction.ipynb x: 394 lines of code y: 2 # changes charts/new_peril_deaths_ages_bar.py x: 48 lines of code y: 1 # changes charts/old/abs_underlying_deaths_bars.py x: 35 lines of code y: 1 # changes charts/old/aihw_deaths_age_bars.py x: 24 lines of code y: 1 # changes charts/old/peril_deaths_all_bar.py x: 11 lines of code y: 1 # changes charts/old/peril_deaths_timeline_stacked_bar.py x: 44 lines of code y: 1 # changes
2.0
# changes
  min: 1.0
  average: 1.38
  25th percentile: 1.0
  median: 1.0
  75th percentile: 2.0
  max: 2.0
0 394.0
lines of code
min: 11.0 | average: 66.46 | 25th percentile: 35.5 | median: 44.0 | 75th percentile: 48.0 | max: 394.0

Number of Contributors vs. Number of Changes: 13 points

charts/fatalities_age_frontiers_bars.py x: 1 # contributors y: 2 # changes charts/new_peril_deaths_ages_bar.py x: 1 # contributors y: 1 # changes
2.0
# changes
  min: 1.0
  average: 1.38
  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: 13 points

charts/fatalities_age_frontiers_bars.py x: 1 # contributors y: 37 lines of code charts/acoss_survey_bars.py x: 1 # contributors y: 39 lines of code charts/new_abs_underlying_deaths_bars.py x: 1 # contributors y: 52 lines of code abs_underlying_extraction.ipynb x: 1 # contributors y: 394 lines of code charts/new_peril_deaths_ages_bar.py x: 1 # contributors y: 48 lines of code charts/old/abs_underlying_deaths_bars.py x: 1 # contributors y: 35 lines of code charts/old/aihw_deaths_age_bars.py x: 1 # contributors y: 24 lines of code charts/old/peril_deaths_all_bar.py x: 1 # contributors y: 11 lines of code charts/old/peril_deaths_timeline_stacked_bar.py x: 1 # contributors y: 44 lines of code
394.0
lines of code
  min: 11.0
  average: 66.46
  25th percentile: 35.5
  median: 44.0
  75th percentile: 48.0
  max: 394.0
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: 31 points

charts/fatalities_age_frontiers_bars.py x: 2 # changes y: 70 line churn charts/heatwave_deaths_irsad_bars.py x: 2 # changes y: 68 line churn charts/new_abs_underlying_deaths_bars.py x: 2 # changes y: 118 line churn charts/new_all_peril_aus_bars.py x: 2 # changes y: 73 line churn abs_underlying_extraction.ipynb x: 2 # changes y: 414 line churn charts/abs_underlying_deaths_bars.py x: 2 # changes y: 114 line churn charts/aihw_deaths_age_bars.py x: 2 # changes y: 234 line churn charts/new_peril_deaths_ages_bar.py x: 1 # changes y: 101 line churn charts/old/abs_underlying_deaths_bars.py x: 1 # changes y: 57 line churn charts/old/aihw_deaths_age_bars.py x: 1 # changes y: 117 line churn charts/old/peril_deaths_all_bar.py x: 1 # changes y: 42 line churn charts/old/peril_deaths_right_before_bars.py x: 1 # changes y: 99 line churn charts/old/peril_deaths_timeline_stacked_bar.py x: 1 # changes y: 84 line churn charts/peril_deaths_right_before_bars.py x: 2 # changes y: 198 line churn charts/peril_deaths_timeline_stacked_bar.py x: 2 # changes y: 168 line churn input/fatalities_age_frontiers.csv x: 1 # changes y: 14 line churn input/irsad_percentile_heatwave_fatalities.csv x: 1 # changes y: 12 line churn inter/abs_underlying_causes.csv x: 2 # changes y: 26 line churn notes.txt x: 4 # changes y: 40 line churn explore.ipynb x: 2 # changes y: 242 line churn input/init.txt x: 1 # changes y: 1 line churn input/peril_paper/table2.csv x: 1 # changes y: 19 line churn input/peril_paper/table3.csv x: 1 # changes y: 26 line churn explore.py x: 1 # changes y: 36 line churn
414.0
line churn
  min: 1.0
  average: 86.16
  25th percentile: 19.0
  median: 70.0
  75th percentile: 114.0
  max: 414.0
0 4.0
# changes
min: 1.0 | average: 1.48 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 4.0

Number of Contributors vs. Line Churn: 13 points

charts/fatalities_age_frontiers_bars.py x: 1 # contributors y: 70 line churn charts/heatwave_deaths_irsad_bars.py x: 1 # contributors y: 68 line churn charts/new_abs_underlying_deaths_bars.py x: 1 # contributors y: 118 line churn abs_underlying_extraction.ipynb x: 1 # contributors y: 414 line churn charts/new_peril_deaths_ages_bar.py x: 1 # contributors y: 101 line churn charts/old/abs_underlying_deaths_bars.py x: 1 # contributors y: 57 line churn charts/old/aihw_deaths_age_bars.py x: 1 # contributors y: 117 line churn charts/old/peril_deaths_all_bar.py x: 1 # contributors y: 42 line churn charts/old/peril_deaths_right_before_bars.py x: 1 # contributors y: 99 line churn charts/old/peril_deaths_timeline_stacked_bar.py x: 1 # contributors y: 84 line churn
414.0
line churn
  min: 42.0
  average: 110.92
  25th percentile: 69.0
  median: 99.0
  75th percentile: 109.0
  max: 414.0
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: 13 points

charts/fatalities_age_frontiers_bars.py x: 37 lines of code y: 70 line churn charts/acoss_survey_bars.py x: 39 lines of code y: 70 line churn charts/heatwave_deaths_irsad_bars.py x: 36 lines of code y: 68 line churn charts/new_abs_underlying_deaths_bars.py x: 52 lines of code y: 118 line churn abs_underlying_extraction.ipynb x: 394 lines of code y: 414 line churn charts/new_peril_deaths_ages_bar.py x: 48 lines of code y: 101 line churn charts/old/abs_underlying_deaths_bars.py x: 35 lines of code y: 57 line churn charts/old/aihw_deaths_age_bars.py x: 24 lines of code y: 117 line churn charts/old/peril_deaths_all_bar.py x: 11 lines of code y: 42 line churn charts/old/peril_deaths_right_before_bars.py x: 48 lines of code y: 99 line churn charts/old/peril_deaths_timeline_stacked_bar.py x: 44 lines of code y: 84 line churn
414.0
line churn
  min: 42.0
  average: 110.92
  25th percentile: 69.0
  median: 99.0
  75th percentile: 109.0
  max: 414.0
0 394.0
lines of code
min: 11.0 | average: 66.46 | 25th percentile: 35.5 | median: 44.0 | 75th percentile: 48.0 | max: 394.0