guardian/oz-230920-dblogs-heatwaves-deaths-risk
File Size
The distribution of size of files (measured in lines of code).
File Size Overall
  • There are 13 files with 864 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 1 medium size files (394 lines of code)
    • 0 small files (0 lines of code)
    • 12 very small files (470 lines of code)
0% | 0% | 45% | 0% | 54%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
ipynb0% | 0% | 100% | 0% | 0%
py0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
ROOT0% | 0% | 100% | 0% | 0%
charts0% | 0% | 0% | 0% | 100%
Longest Files (Top 13)
File# lines# units
394 -
52 -
48 -
48 -
48 -
48 -
44 -
39 -
37 -
36 -
35 -
24 -
11 -
Files With Most Units (Top 0)
File# lines# units
Files With Long Lines (Top 8)

There are 8 files with lines longer than 120 characters. In total, there are 17 long lines.

File# lines# units# long lines
394 - 9
52 - 2
48 - 1
44 - 1
48 - 1
39 - 1
48 - 1
48 - 1
Correlations

File Size vs. Commits (all time): 13 points

charts/fatalities_age_frontiers_bars.py x: 2 commits (all time) y: 37 lines of code charts/acoss_survey_bars.py x: 2 commits (all time) y: 39 lines of code charts/new_abs_underlying_deaths_bars.py x: 3 commits (all time) y: 52 lines of code abs_underlying_extraction.ipynb x: 2 commits (all time) y: 394 lines of code charts/new_peril_deaths_ages_bar.py x: 1 commits (all time) y: 48 lines of code charts/old/abs_underlying_deaths_bars.py x: 1 commits (all time) y: 35 lines of code charts/old/aihw_deaths_age_bars.py x: 1 commits (all time) y: 24 lines of code charts/old/peril_deaths_all_bar.py x: 1 commits (all time) y: 11 lines of code charts/old/peril_deaths_timeline_stacked_bar.py x: 1 commits (all time) 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 3.0
commits (all time)
min: 1.0 | average: 1.46 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 3.0

File Size vs. Contributors (all time): 13 points

charts/fatalities_age_frontiers_bars.py x: 1 contributors (all time) y: 37 lines of code charts/acoss_survey_bars.py x: 1 contributors (all time) y: 39 lines of code charts/new_abs_underlying_deaths_bars.py x: 1 contributors (all time) y: 52 lines of code abs_underlying_extraction.ipynb x: 1 contributors (all time) y: 394 lines of code charts/new_peril_deaths_ages_bar.py x: 1 contributors (all time) y: 48 lines of code charts/old/abs_underlying_deaths_bars.py x: 1 contributors (all time) y: 35 lines of code charts/old/aihw_deaths_age_bars.py x: 1 contributors (all time) y: 24 lines of code charts/old/peril_deaths_all_bar.py x: 1 contributors (all time) y: 11 lines of code charts/old/peril_deaths_timeline_stacked_bar.py x: 1 contributors (all time) 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 (all time)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Commits (30 days): 0 points

No data for "commits (30d)" vs. "lines of code".

File Size vs. Contributors (30 days): 0 points

No data for "contributors (30d)" vs. "lines of code".

File Size vs. Commits (90 days): 0 points

No data for "commits (90d)" vs. "lines of code".

File Size vs. Contributors (90 days): 0 points

No data for "contributors (90d)" vs. "lines of code".

About This Analysis
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...