Difference between revisions of "Data"

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You can document data using standard spreadsheet software, such as the freely available [https://www.libreoffice.org/discover/calc/ LibreOffice Calc]. There are also specific tools for medical symptom data.
 
You can document data using standard spreadsheet software, such as the freely available [https://www.libreoffice.org/discover/calc/ LibreOffice Calc]. There are also specific tools for medical symptom data.
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==Statistics==
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In addition to visual graphs, we can also conduct statistical analyses. These apply somewhat comparable techniques to what the mind does anyways, but numerically. For example, we can look for correlations of sinus symptoms with various other events. Alternatively, we can use more advanced statistical techniques like analysis of variance.

Revision as of 06:08, 18 July 2021

We can make graphs of sinusitis symptoms including time series.

Sinus data can assist people in identifying causes, correlations, or patterns in their sinus symptoms. Some ideas of data to analyze include:

  • Sinus symptoms
  • Weather
  • Allergens
  • Diet
  • Exercise
  • Time of day/month/year
  • Add your ideas!

Graphs

We can make graphs of sinusitis symptoms including time series.

We can make graphs of sinusitis symptoms including time series.

Graphs show data in a format that people can easily see. There are numerous graph types, including these line graphs, as well as bar charts, pie graphs, and others. The goal is to make it easy to see associations. This can assist people in discerning what may cause symptoms.

You can document data using standard spreadsheet software, such as the freely available LibreOffice Calc. There are also specific tools for medical symptom data.

Statistics

In addition to visual graphs, we can also conduct statistical analyses. These apply somewhat comparable techniques to what the mind does anyways, but numerically. For example, we can look for correlations of sinus symptoms with various other events. Alternatively, we can use more advanced statistical techniques like analysis of variance.