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Site updated at 2016-11-13 11:57:21 UTC

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Travis CI 2016-11-13 11:57:21 +00:00
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blog/categories/iot-data/atom.xml
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@ -4,7 +4,7 @@
<title><![CDATA[Category: IoT-Data | Home Assistant]]></title>
<link href="https://home-assistant.io/blog/categories/iot-data/atom.xml" rel="self"/>
<link href="https://home-assistant.io/"/>
<updated>2016-11-13T11:27:15+00:00</updated>
<updated>2016-11-13T11:55:22+00:00</updated>
<id>https://home-assistant.io/</id>
<author>
<name><![CDATA[Home Assistant]]></name>
@ -63,7 +63,7 @@ _TL; DR: Use [this Jupyter Notebook][nb-prev] to visualize of your data_
<!--more-->
### {% linkable_title Dependencies %}
### <a class='title-link' name='dependencies' href='#dependencies'></a> Dependencies
In order to run the provided Jupyter notebook, please make sure you have the following applications/libraries installed on your computer:
@ -77,11 +77,11 @@ As a Windows user myself, I find the easiest, quickest and most hassle-free way
[WinPython]: https://winpython.github.io/
#### {% linkable_title Why Jupyter? %}
#### <a class='title-link' name='why-jupyter' href='#why-jupyter'></a> Why Jupyter?
While all Home Assistant implementations can have varying setup, components and scripts, the underlying data structure is standardized and well-defined. This allows us to write Python code that is environmentally agnostic. Wrapping it in a Jupyter notebook ensures the code, visualizations and directions/explanations are kept digestible and neatly-packaged. One of the amazing features of Jupyter is the ability to change code as you go along, customizing all outputs and visualizations on the fly!
#### {% linkable_title Where do I start? %}
#### <a class='title-link' name='where-do-i-start' href='#where-do-i-start'></a> Where do I start?
This tutorial is based around a heavily commented Jupyter Notebook that we created. So to get started, you will have to open that:
@ -100,7 +100,7 @@ After just those few steps, you will be greeted with beautiful formatted data li
One of the graphs created with this tutorial.
</p>
#### {% linkable_title What’s next? %}
#### <a class='title-link' name='whats-next' href='#whats-next'></a> What’s next?
Thanks to the magic of Jupyter, all of the code is customizable: want to selectively display your data, only covering a specific entity? Sure thing! Want to change the properties of the plots? No problem!