Notes Statistics

Aggregated stats are calculated using a Python script on my Obsidian markdown notes, which updates this html file every day using a cronjob.

{{TOTAL_NOTES}}
notes across {{TOTAL_VAULTS}} vaults

> That's {{TOTAL_WORDS}} total words, averaging {{AVG_WORDS}} words per note.

> {{TOTAL_LINES}} lines of markdown taking up {{DISK_USAGE}} on disk.

> Last edited {{DAYS_SINCE_LAST_EDIT}} days ago.

Task Completion

[{{TASK_PROGRESS_BAR}}] {{TASK_COMPLETION}}% ({{TASKS_COMPLETED}}/{{TOTAL_TASKS}})

{{TASKS_UNCHECKED}} tasks still unchecked

Content

Links & Media

  • Internal Links {{INTERNAL_LINKS}}
  • External URLs {{EXTERNAL_URLS}}
  • Images {{IMAGES}}

Code & Math

  • Code Blocks {{CODE_BLOCKS}}
  • Math Expressions {{MATH_EXPR}}
  • Tables {{TABLES}}
  • Blockquotes {{BLOCKQUOTES}}
Headers: {{H1_COUNT}} H1s, {{H2_COUNT}} H2s, {{H3_COUNT}} H3s, {{H4_COUNT}} H4+ | Lists: {{LISTS}} items | Horizontal Rules: {{HR_COUNT}}

Activity Timeline

Last 6 months of note modifications

{{MONTHLY_ACTIVITY}}

Writing Trends

Most active day: {{MOST_ACTIVE_DAY}} ({{MOST_ACTIVE_DAY_COUNT}} notes modified)

{{DAY_OF_WEEK_BARS}}

Note Sizes

> {{LONGEST_BRACKET}} words: longest note category ({{LONGEST_COUNT}} notes)

> {{SHORTEST_BRACKET}} words: shortest note category ({{SHORTEST_COUNT}} notes)

> Most notes are in the {{MOST_COMMON_BRACKET}} range ({{MOST_COMMON_COUNT}} notes)

    {{LENGTH_DISTRIBUTION}}