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18
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>2017-08-26T12:50:28+00:00</updated>
<updated>2017-08-26T17:19:49+00:00</updated>
<id>https://home-assistant.io/</id>
<author>
<name><![CDATA[Home Assistant]]></name>
@ -21,7 +21,7 @@
<content type="html"><![CDATA[Thanks to [Anton Kireyeu](https://github.com/kireyeu) we are able to present another awesome [Jupyter notebook]. I guess that you all know the graph which Github is using to visualize your commits per day over a time-line. It's a so-called [heatmap]. If there are more commits, it's getting hotter. The latest [notebook][nb-prev] is capable to do the same thing for your devices. To be more precise, for the hours your devices are home.
<p class='img'>
<img src='https://home-assistant.io/images/blog/2016-08-data-exploration/heatmap.png'>
<img src='/images/blog/2016-08-data-exploration/heatmap.png'>
Heatmap
</p>
@ -48,7 +48,7 @@ This post will help you get set up using a few popular data scientist tools to a
- &nbsp;[Jupyter notebook]: application for creation and sharing of documents containing live code, visualizations and explanatory text
<p class='img'>
<img src='https://home-assistant.io/images/blog/2016-07-data-exploration/graph.png'>
<img src='/images/blog/2016-07-data-exploration/graph.png'>
One of the graphs created with this tutorial.
</p>
@ -96,7 +96,7 @@ That’s it! The included code will walk you through importing the required libr
After just those few steps, you will be greeted with beautiful formatted data like this:
<p class='img'>
<img src='https://home-assistant.io/images/blog/2016-07-data-exploration/graph.png'>
<img src='/images/blog/2016-07-data-exploration/graph.png'>
One of the graphs created with this tutorial.
</p>
@ -113,7 +113,7 @@ While you learn and explore your IoT data, we will be working on providing more
<link href="https://home-assistant.io/blog/2016/07/19/visualizing-your-iot-data/"/>
<updated>2016-07-19T16:00:00+00:00</updated>
<id>https://home-assistant.io/blog/2016/07/19/visualizing-your-iot-data</id>
<content type="html"><![CDATA[<img src='https://home-assistant.io/images/blog/2016-07-reporting/mpl-sensor.png' style='clear: right; border:none; box-shadow: none; float: right; margin-bottom: 12px;' width='200' />
<content type="html"><![CDATA[<img src='/images/blog/2016-07-reporting/mpl-sensor.png' style='clear: right; border:none; box-shadow: none; float: right; margin-bottom: 12px;' width='200' />
The [history component](/components/history/) is tracking everything that is going on within Home Assistant. This means that you have access to all stored information about your home. Our history is not a full-fledged graphical processing and visualization component as you may know from systems and network monitoring tools. The current limitation is that you only can select a day for a visual output of your information and not a period. Also, there is no possibility to drill down on a specific entity.
@ -152,7 +152,7 @@ The SQL statement can be formed that it fits exactly what you need. This means t
If the above query is executed in DB Browser for SQLite you would be able to save the sensor's graph as png.
<p class='img'>
<img src='https://home-assistant.io/images/blog/2016-07-reporting/db-browser.png' />
<img src='/images/blog/2016-07-reporting/db-browser.png' />
Visualization with DB Browser for SQLite
</p>
@ -165,14 +165,14 @@ $ sqlite3 -header -csv /home/ha/.homeassistant/home-assistant_v2.db "SELECT last
The ordering for the `SELECT` was changed to get the time stamps first and then the state. Now we can import the CSV file into the application of your choice, here it's LibreOffice Calc.
<p class='img'>
<img src='https://home-assistant.io/images/blog/2016-07-reporting/libreoffice-import.png' />
<img src='/images/blog/2016-07-reporting/libreoffice-import.png' />
Import of the CSV file
</p>
After the import a graph can be created over the existing data.
<p class='img'>
<img src='https://home-assistant.io/images/blog/2016-07-reporting/libreoffice-graph.png' />
<img src='/images/blog/2016-07-reporting/libreoffice-graph.png' />
Graph in LibreOffice
</p>
@ -208,7 +208,7 @@ plt.savefig('sensor.png')
Creating a connection to the database and executing a query is similar to the ways already seen. The return values from the query are splitted into two lists. The time stamps must be converted in an value which is accepted by matplotlib and then the graph is generated and saved as image.
<p class='img'>
<img src='https://home-assistant.io/images/blog/2016-07-reporting/mpl-sensor.png' />
<img src='/images/blog/2016-07-reporting/mpl-sensor.png' />
Sensor graph generated by matplotlib
</p>

22
blog/categories/iot-data/index.html
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@ -10,11 +10,11 @@
<meta name="author" content="Home Assistant">
<meta name="description" content="Category: IoT-Data">
<meta name="viewport" content="width=device-width">
<link rel="canonical" href="https://home-assistant.io/blog/categories/iot-data/">
<link rel="canonical" href="/blog/categories/iot-data/">
<meta property="fb:app_id" content="338291289691179">
<meta property="og:title" content="Category: IoT-Data">
<meta property="og:site_name" content="Home Assistant">
<meta property="og:url" content="https://home-assistant.io/blog/categories/iot-data/">
<meta property="og:url" content="/blog/categories/iot-data/">
<meta property="og:type" content="website">
<meta property="og:description" content="Category: IoT-Data">
<meta property="og:image" content="https://home-assistant.io/images/default-social.png">
@ -90,8 +90,8 @@
<span>
<i class="icon-tags"></i>
<ul class="tags unstyled">
<li><a class='category' href='/blog/categories/how-to/'>How-To</a></li>
<li><a class='category' href='/blog/categories/iot-data/'>IoT-Data</a></li>
<li>How-To</li>
<li>IoT-Data</li>
</ul>
</span>
</footer>
@ -112,8 +112,8 @@
<span>
<i class="icon-tags"></i>
<ul class="tags unstyled">
<li><a class='category' href='/blog/categories/how-to/'>How-To</a></li>
<li><a class='category' href='/blog/categories/iot-data/'>IoT-Data</a></li>
<li>How-To</li>
<li>IoT-Data</li>
</ul>
</span>
</footer>
@ -134,8 +134,8 @@
<span>
<i class="icon-tags"></i>
<ul class="tags unstyled">
<li><a class='category' href='/blog/categories/how-to/'>How-To</a></li>
<li><a class='category' href='/blog/categories/iot-data/'>IoT-Data</a></li>
<li>How-To</li>
<li>IoT-Data</li>
</ul>
</span>
</footer>
@ -169,10 +169,10 @@
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