diff --git a/content/wifi-temperature-monitor-part1 .md b/content/wifi-temperature-monitor-part1 .md
index aa03eb3..54c908d 100644
--- a/content/wifi-temperature-monitor-part1 .md	
+++ b/content/wifi-temperature-monitor-part1 .md	
@@ -6,4 +6,31 @@ date = 2016-05-22
 tags = ["Particle", "WiFiTemp"]
 +++
 
+[Particle.io](https://www.particle.io/) has some relatively inexpensive and lightweight IoT boards that connect via WiFi ([Photon](https://www.particle.io/products/hardware/photon-wifi-dev-kit)) or Cellular Networks ([Electron](https://store.particle.io/collections/electron)). They are focused on providing a fully functioning cloud based IDE for development and production devices. Programming is accomplished via [Wiring](http://wiring.org.co/), the same framework as [Arduino](https://www.arduino.cc/). Since the framework is open source down to the bare metal, you can also use C/C++ or ARM assembly.
 
+For my first project with the Photon, I created a wireless temperature monitor that displays in a [Google Sheet](https://www.google.com/sheets/about/). I used a [TMP36 Sensor](http://www.analog.com/en/products/analog-to-digital-converters/integrated-special-purpose-converters/digital-temperature-sensors/tmp36.html) and imported the results utilizing Script Editor and this [Import JSON Script](https://github.com/fastfedora/google-docs/blob/master/scripts/ImportJSON/Code.gs). The JSON output from the Photon looks like this (“deviceID” intentionally obscured):
+
+```json
+{
+ "cmd": “VarReturn”,
+ "name": “analogvalue”,
+ "result": 964,
+ "coreInfo": {
+   "last_app": “”,
+   "last_heard": “2016-05-22T22:00:00.209Z”,
+   "connected": true,
+   "last_handshake_at": “2016-05-22T21:20:20.002Z”,
+   "deviceID": “UNIQUE_ID”,
+   "product_id": 6
+ }
+}
+```
+
+Then the temperature can be calculated based on the voltage output from the TMP36 using _Temp °C = 100*(reading in V) - 50_.
+
+{{ image(src="https://raw.githubusercontent.com/kylejcarlton/zola-theme-terminimal/master/img/TMP36_Graph.png", position="left") }}
+
+After importing I also converted to Fahrenheit using _T(°F) = T(°C) × 1.8 + 32_. Here’s the final output in the Google Sheet using _ImportJSON(https://api.particle.io/v1/devices/UNIQUE_ID/analogvalue?access_token=UNIQUE_TOKEN)_:
+
+
+{{ image(src="https://raw.githubusercontent.com/kylejcarlton/zola-theme-terminimal/master/img/TMP36_Gsheet.png", position="left") }}
diff --git a/img/TMP36_Graph.png b/img/TMP36_Graph.png
new file mode 100644
index 0000000..b1eb4a9
Binary files /dev/null and b/img/TMP36_Graph.png differ
diff --git a/img/TMP36_Gsheet.png b/img/TMP36_Gsheet.png
new file mode 100644
index 0000000..8880e29
Binary files /dev/null and b/img/TMP36_Gsheet.png differ