Emails in 2024 entry

blog/content/posts/2024-emails.md

@@ -0,0 +1,108 @@
+---
+title: "2024 Emails"
+date: 2025-01-01T17:10:13-08:00
+draft: true
+extraHeadContent:
+- <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.4.1/chart.umd.js" integrity="sha512-ZwR1/gSZM3ai6vCdI+LVF1zSq/5HznD3ZSTk7kajkaj4D292NLuduDCO1c/NT8Id+jE58KYLKT7hXnbtryGmMg==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
+- <script src="https://cdn.jsdelivr.net/npm/moment@2.27.0"></script>
+- <script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-moment@0.1.1"></script>
+- <script src="/js/email-graph.js"></script>
+tags:
+  - dataviz
+  - gtd
+  - productivity
+
+---
+On a whim, I started tracking my email volume during my morning startup routine during 2024.
+<!--more-->
+Specifically, for each of my email accounts (gmail and proton), I recorded the number of unread emails I had at the start of the morning, and how many remained unread at the end of the routine. The _ideal_ would be for the latter number to [always be 0](https://clean.email/blog/productivity/what-is-zero-inbox). Practically speaking, I tended to aim for ensuring that I had one fewer unread email in each account than I'd ended the previous day with - acknowledging that, since I wouldn't be checking my email every day (life gets in the way!), there would be regular spikes.
+
+Anyway, here's ~~wonderwall~~ the graph[^chart-js]:
+
+{{< rawhtml >}}
+<canvas id="graph_canvas"></canvas>
+{{< /rawhtml >}}
+
+And filtered views of just each account
+
+{{< rawhtml >}}
+<canvas id="gmail_graph_canvas"></canvas>
+{{< /rawhtml >}}
+
+{{< rawhtml >}}
+<canvas id="proton_graph_canvas"></canvas>
+{{< /rawhtml >}}
+
+I'm not sure what conclusions to draw from this, other than:
+* I didn't check my email very much (or, at least, didn't track my checking) during May and June (unsurprising, as this was the time I was dealing with my Mum's passing-away)
+* I received a _lot_ of emails in early July (again - unsurprising. This was mostly syncing up with interaction with the solicitors, funeral home, etc.)
+* I'm receiving more email on my Gmail Account than my Proton. Unsurprising once again, as I've had that account for decades (as opposed to a year or so for Protonmail) and am probably on way more mailing lists that I should probably unsubscribe from, as well as being the account associated with various accounts and ecommerce sites.
+
+I can't think why anyone _would_ - but if you want to see the code that generated this, it's here:
+
+```python
+#!/usr/bin/env python3
+
+import os
+import pathlib
+
+import yaml
+
+counts = {}
+
+def main():
+  should_hide_gmail = os.environ.get('SHOULD_HIDE_GMAIL') == 'TRUE'
+  if not should_hide_gmail:
+    counts['gmail-start'] = []
+    counts['gmail-end'] = []
+
+  should_hide_proton = os.environ.get('SHOULD_HIDE_PROTON') == 'TRUE'
+  if not should_hide_proton:
+    counts['proton-start'] = []
+    counts['proton-end'] = []
+
+  d = pathlib.Path('/Users/scubbo/Dropbox/Obsidian/scubbo-vault/GTD/Daily TODOs')
+  for f_path in d.iterdir():
+    if f_path.is_dir():
+      continue
+    if not f_path.name.startswith('Todo - 2024'):
+      continue
+    with f_path.open('r') as f:
+      date = f_path.name[7:-3]
+
+      content = f.read()
+      data_index = content.index('# Data')
+      start_of_data_block = data_index+content[data_index:].index('```') + 3
+      length_of_data_block = content[start_of_data_block:].index('```')
+      data = yaml.safe_load(content[start_of_data_block:start_of_data_block+length_of_data_block])
+      if not should_hide_gmail:
+        if gs_count := data['gmail']['start-count']:
+          counts['gmail-start'].append({'date': date, 'count': gs_count})
+        if ge_count := data['gmail']['end-count']:
+          counts['gmail-end'].append({'date': date, 'count': ge_count})
+      if not should_hide_proton:
+        if ps_count := data['protonmail']['start-count']:
+          counts['proton-start'].append({'date': date, 'count': ps_count})
+        if pe_count := data['protonmail']['end-count']:
+          counts['proton-end'].append({'date': date, 'count': pe_count})
+
+  print([{'label': key, 'data': sorted(value, key=lambda x: x['date'])} for key, value in counts.items()])
+
+if __name__ == '__main__':
+  main()
+```
+
+Output was piped to `pbcopy`, and then hard-coded into the JS that serves this page.
+
+[^chart-js]: made with [Chart.js](https://www.chartjs.org/), which I'd already used in my [EDH ELO tracker](https://gitea.scubbo.org/scubbo/edh-elo).
+
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