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-rw-r--r-- | 2022/talks/health.md | 12 |
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diff --git a/2022/talks/health.md b/2022/talks/health.md index 7d75712b..b40c89a9 100644 --- a/2022/talks/health.md +++ b/2022/talks/health.md @@ -1,5 +1,5 @@ [[!sidebar content=""]] -[[!meta title="Health data journaling and visualization with Org Mode and GNUplot"]] +[[!meta title="Health data journaling and visualization with Org Mode and gnuplot"]] [[!meta copyright="Copyright © 2022 David O'Toole"]] [[!inline pages="internal(2022/info/health-nav)" raw="yes"]] @@ -7,20 +7,20 @@ <!-- You can manually edit this file to update the abstract, add links, etc. ---> -# Health data journaling and visualization with Org Mode and GNUplot +# Health data journaling and visualization with Org Mode and gnuplot David O'Toole (he/him, <https://emacs.ch/@dto>) [[!inline pages="internal(2022/info/health-before)" raw="yes"]] -I intend for this to be a 20-minute talk. +**Note: The correct name of gnuplot is gnuplot, not GNUplot. It is not GNU software, nor is it licensed under a GNU license. [Details](http://gnuplot.info/faq/index.html#x1-70001.2)** -"GNU Emacs with Org Mode and GNUplot offer a complete Free Software +"GNU Emacs with Org Mode and gnuplot offer a complete Free Software solution for tracking health information based on a daily data -journal. With org capture templates and data tables, you can easily +journal. With Org capture templates and data tables, you can easily enter facts for each day such as hours of sleep, minutes of exercise, doses of medication, weight, or even add freeform notes. Through the use of subjective numeric scores you can track symptoms like stress, -anxiety, or pain. Org Mode's GNUplot support enables you to visualize +anxiety, or pain. Org Mode's gnuplot support enables you to visualize the data in order to spot correlations and evaluate trends. The use of detailed record-keeping and graphing can help you communicate with health care providers." |