Analyzing my Emacs time over the last 11 years or so
3 December 2023 | 4:26 pm

My EmacsConf presentation will stream in a few hours, and someone's probably going to ask where I find the time for all of this. =) So I dug through my time logs (a custom system I wrote in 2012 with Ruby on Rails; has an Emacs interface, of course) and came up with this table of hours I logged in my Discretionary - Productive - Emacs category over the past 11 years.

Data for Emacs hours by month by year
Year Jan Feb March April May June July Aug Sept Oct Nov Dec Total
2012         0.7 19.4 2.7 1.9 1.2 0 0 8.6 34
2013 0.7 12.5 38.5 18.5 10.0 6.0 1.2 5.2 0 0.1 3.2 0.4 96
2014 2.0 3.4 18.8 39.7 45.4 15.3 2.6 0.6 2.0 7.4 5.9 15.4 158
2015 16.6 37.4 7.4 9.0 2.3 3.3 3.2 20.0 9.6 6.3 26.5 18.2 160
2016 8.6 4.6 3.7 3.7 4.2 2.9 1.4 2.9 2.7 2.2 4.3 2.4 44
2017 3.7 2.7 3.2 3.2 3.0 2.0 5.2 2.8 0 0.9 3.4 3.8 34
2018 2.9 3.3 1.9 2.2 3.9 3.3 0.9 1.4 1.5 1.8 2.3 3.0 28
2019 2.2 10.7 2.6 2.3 13.7 6.8 7.1 3.6 13.3 16.1 16.7 2.0 97
2020 3.3 0.5 3.0 .2 10.0 6.3 5.2 5.0 5.0 32.9 61.7 49.0 182
2021 53.7 47.1 44.7 25.5 18.1 11.5 8.3 11.9 9.5 66.0 138.1 66.6 501
2022 13.5 13.4 3.1 3.9 7.0 4.5 4.2 5.1 45.4 157.5 146.6 95.3 500
2023 23.4 15.9 16.2 11.2 4.4 11.5 6.5 13.3 36.6 86.6 93.2   319

Notes:

  • Data collection in this system started in 2012.
  • Some months look like they have under-collected data, that's fine.
  • Big spike in 2022 was when we decided to go with two tracks for EmacsConf, so I needed to figure out all the infrastructure.
  • I started doing Emacs News in 2016, which is maybe 0.5 - 1.5 hours a week.
  • EmacsConf restarted in 2019 with an online conference. I've been handling speaker/volunteer coordination, captioning, publishing, and automation/infrastructure.

I can visualize this as a heatmap with: 

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame(time_data[1:], columns=time_data[0]).drop('Total', axis=1).set_index('Year')
df = df.apply(pd.to_numeric)
plt.title("sachac's Emacs hours by month and year")
plot = sns.heatmap(df, annot=True, cmap='crest', fmt='.0f')
fig = plot.get_figure()
fig.savefig('emacs-time.png')
emacs-time.png

Yes, I do actually sleep

Overall balance of activities
Activity Jan 2023 Feb 2023 Mar 2023 Apr 2023 May 2023 Jun 2023 Jul 2023 Aug 2023 Sep 2023 Oct 2023 Nov 2023 Total
A- 39.0% 47.5% 44.4% 44.2% 44.1% 44.4% 41.8% 40.5% 33.2% 33.3% 34.3% 40.6%
Business 1.3% 0.5% 3.5% 1.9% 3.8% 2.8% 3.5% 7.0% 8.8% 1.9% 1.7% 3.3%
Discretionary > 10.8% 3.9% 4.5% 6.0% 6.6% 8.3% 6.9% 6.2% 8.8% 14.5% 16.1% 8.4%
Personal > 10.1% 10.2% 11.7% 10.4% 9.3% 8.8% 9.9% 8.4% 9.4% 10.6% 11.9% 10.0%
Sleep 34.6% 35.4% 32.9% 34.9% 33.4% 32.1% 34.1% 34.7% 33.9% 35.7% 33.4% 34.1%
Unpaid work > 4.3% 2.5% 3.0% 2.8% 2.9% 3.6% 3.9% 3.3% 5.9% 4.0% 2.6% 3.5%

Notes:

  • `A-` is my top-level category for child-care

Sleep over the years:

Sleep percentage
Year Jan Feb March April May June July Aug Sept Oct Nov Dec
2013 36.0% 34.9% 37.0% 36.5% 32.5% 35.8% 37.4% 43.1% 37.9% 36.9% 37.8% 34.5%
2014 36.4% 38.2% 37.0% 36.7% 35.0% 37.6% 37.8% 34.7% 36.1% 34.3% 41.3% 37.4%
2015 35.5% 35.3% 38.5% 35.0% 35.1% 39.7% 36.9% 40.1% 40.3% 37.4% 37.8% 41.4%
2016 35.5% 35.3% 38.5% 35.0% 35.1% 39.7% 36.9% 40.1% 40.3% 37.4% 37.8% 41.4%
2017 38.2% 35.9% 34.3% 35.1% 33.0% 30.8% 32.6% 27.2% 26.5% 32.8% 34.0% 29.6%
2018 29.7% 33.4% 32.8% 32.5% 31.0% 29.3% 35.1% 33.0% 37.7% 36.9% 29.3% 34.0%
2019 33.2% 34.7% 35.3% 35.6% 33.9% 30.4% 32.0% 32.9% 35.7% 34.6% 33.1% 34.4%
2020 32.8% 34.7% 37.9% 32.2% 32.8% 30.3% 31.5% 30.1% 32.4% 31.8% 28.9% 33.1%
2021 28.6% 30.1% 34.6% 33.3% 31.6% 31.8% 36.1% 33.6% 35.1% 34.7% 32.5% 32.4%
2022 35.5% 35.6% 38.5% 37.2% 38.1% 38.4% 36.5% 38.1% 35.3% 32.0% 30.1% 27.8%
2023 34.6% 35.4% 32.9% 34.9% 33.4% 32.1% 34.1% 34.7% 33.9% 35.7% 33.4% 35.2% 
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame(data[1:], columns=data[0]).set_index('Year')
df = df.applymap(lambda x: float(x.strip('%'))*24/100.0)
plt.title("sachac's sleep hours per day by month and year")
plot = sns.heatmap(df, annot=True, cmap='crest', fmt='.1f')
fig = plot.get_figure()
fig.savefig('sleep-time.png')
sleep-time.png

The kiddo was born in 2016. You can see how much less sleep I've been getting since then. =)


2023-11-27 Emacs news
27 November 2023 | 3:03 pm

Links from reddit.com/r/emacs, r/orgmode, r/spacemacs, r/planetemacs, Hacker News, lobste.rs, kbin, programming.dev, lemmy, communick.news, planet.emacslife.com, YouTube, the Emacs NEWS file, Emacs Calendar, and emacs-devel. Thanks to Andrés Ramírez for emacs-devel links. Do you have an Emacs-related link or announcement? Please e-mail me at sacha@sachachua.com. Thank you!


2023-11-20 Emacs news
20 November 2023 | 4:24 pm

Links from reddit.com/r/emacs, r/orgmode, r/spacemacs, r/planetemacs, Hacker News, lobste.rs, kbin, programming.dev, lemmy, communick.news, planet.emacslife.com, YouTube, the Emacs NEWS file, Emacs Calendar, and emacs-devel. Thanks to Andrés Ramírez for emacs-devel links. Do you have an Emacs-related link or announcement? Please e-mail me at sacha@sachachua.com. Thank you!



More News from this Feed See Full Web Site