DASHBOARDS

Thinger.io dashboard system is a feature that allows creating nice data representation interfaces within minutes in a very simple way. No coding is required, just selecting different widgets from a list and using drag&drop technology to configure the layout of the dashboard, then using the configuration forms it is possible to set the data sources, sampling interval, and other behaviors of each widget. The main types of these widgets are: 
Real-time data representation
Historical data representation from buckets 
Control device functions or change values with On/Off buttons or sliders
Here is an example dashboard with some widgets defined, like time series charts, donut charts, maps, or single values, but you can use many other ones
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Once created, dashboards can be shared with third parties through a link or configured as templates to analyze data from different devices of the same type. In the following sections, we will explain how to create awesome dashboards in a few and very easy steps. Are you ready to create your own dashboard?
Create a Dashboard
To manage all your dashboards, it is necessary to access to the Dashboards section, by clicking in the following menu item:
Then click on the Add Dashboard button that will open a new interface for entering the dashboard details, like in the following screenshot:
It is necessary to configure different parameters:
Dashboard Id: Unique identifier for your dashboard. 
Dashboard name: A representative name of your dashboard, in a more friendly way than its identifier.
Dashboard description: Fill here any description or detailed information you need to keep about the dashboard.
Clicking again on the "Add Dashboard" button, the new dashboard will be added to the account, and the browser will be automatically redirected to the empty board in order to start adding widgets as explained in the sections below.
Edit Dashboard
By default, the dashboard appears empty and in view mode, so it is not possible to make modifications, so, to start working, the first step will be switching on the button on the upper-right corner of the dashboard that will change to the edition mode.
The dashboard edition mode allows moving, or resizing existing widgets, but also enables different options using the left-side buttons such as:
Add Widgets:  To create new elements from the list. There are two different widget types depending on their objective: Display widgets allow to show real-time data from devices or historical data from buckets, and Control Widgets allows to connect the dashboard with devices functionalities in order to control them in real-time. 
Add Tab: This button allows to create an additional dashboard tab that will appear associated to the original one in order to provide simple navigation over related boards. 
Settings: There are multiple parameters that can be configured in order to set the dashboard behavior, such as the number of columns, the background image or the sharing options.  
These three options have been explained in more detail in the sections below.
Display Widgets
When the edit mode is enabled in the dashboard, a new button called Add Widget will appear. Clicking on it will show a popup where it is possible to select the widget type to add in the dashboard. There are different widgets both for displaying information, or control connected devices, just like in the following picture:
The following subsections describe the different parameters for each widget type.
Time Series Chart
A time-series chart is a graph that can display values over time. In this sense, this is quite useful when it is required to display time-series data, like temperature variable that changes over time. It is possible to plot a single variable or multiple values in the same chart. The initial configuration of this widget is like shown in the following figure:
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Chart Input: Configure how to feed the values to the time series chart. It is possible to feed the information from a connected device or from a data bucket
From Device: With this option it is necessary to select a device (that must be connected to provide information) and specify the resources to plot. The following figure is an example that is selecting the device deviceA, and the resource millis from the device. Notice that when a time series widget is feed from a device, it will not keep the information if the dashboard is closed or refreshed, as it is just real-time data from your device to your dashboard. You can also select between different refresh modes, like sampling at different intervals (that can be updated online), or the chart is updated by the device.
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From Data Bucket: With this option, the widget will take the information from a given bucket to plot the historic information on it. So, it is necessary to just select the bucket identifier created in your account. If the bucket is composed by multiple variables, it will allow selecting the variables to plot, like in the following picture. When the information is selected from the data bucket, you will require to establish a data timeframe to be displayed, that can be relative to the current time, or an absolute period between two dates.
Options: It is possible to configure some graph features like splines, legends, axis, etc.
Chart Color: Both on data selected from a device or from a data bucket, it is possible to configure series colors, depending on the information available in the resource, it will show only one configurable color, or a color for each series, like in the previous screenshot.
Data Aggregation: 
Show raw data directly from a Bucket could be tricky when there is a lot of data-points, specially if the measures are very noisy or irregular. This feature allows aggregating data using different statistics such as medians, means, minimum and maximum values, a counter of data points per period and a data sumatory. The aggregation can be applied over different intervals that goes from five minutes to one week, by using the next configuration inputs in the widget form, and also using the upside right parameters on each time series chart widgets.
The next image shows four different representations of the same dataset and time interval, aggregated using different algorithms:  
Note that Data Aggregation system is only available in private server instances with InfluxDB 
Tachometer Chart
It is a quite visual widget that allows showing device data in a traditional "dial gauge" representation, that can be customized with different value ranges and color marcs, making it more accurate or simplifying the simpection with just a glance.
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white). This widget has a particularity behavior in relation to this parameter. Pressing into the green "+" button, It is possible to select different background colors depending on the real time value that is being shown: 
This image is representing an example in which the measured variable is reaching dangerous pressure values. According to this situation, the background color is changing to red, so it will be easier to identify and manage the event if there is not any automatic system in the product.  
Chart Input: Configure how to feed the values to the tachometer chart. It is possible to feed the information from a connected device or from a data bucket
From Device Resource: With this option it is necessary to select a device (that must be connected to provide information) and specify the resources to plot. The following figure is an example that is selecting the device deviceA, and the resource millis from the device. Notice that when a time series widget is feed from a device, it will not keep the information if the dashboard is closed or refreshed, as it is just real-time data from your device to your dashboard. You can also select between different refresh modes, like sampling at different intervals (that can be updated online), or the chart is updated by the device.
From Device Property: This option allows retrieving data from device properties, which is really useful to show device configuration data, but also is the better way to show real time (or last received) data from HTTP devices. 
From Data Bucket: With this option, the widget will take the information from a given bucket to plot the historic information on it. So, it is necessary to just select the bucket identifier created in your account. If the bucket is composed by multiple variables, it will allow selecting the variables to plot, like in the following picture. When the information is selected from the data bucket, you will require to establish a data timeframe to be displayed, that can be relative to the current time, or an absolute period between two dates.
Manual Data: It is always possible to manually introduce values in order to create simulate the behavior of the widget.
The last tab shows all the display options. This is probably the most customizable widget of Thinger.io Platform. It allows selecting a lot of different parameters as shown in the image below: 
Display options:
Units: Optional information that will display the variable unit, like ºC.
Value Ranges: This parameter configures the total data range that will be shown at the chart, and also allows adding sub-ranges that can be configured with different colors in order to simplify the visual checking.
Plate Color: Configure the background plate color.
Text Color: Configure the text color.
Tick Color: Configure the division ticks color. 
Major Ticks: Allows to configure the range of each tick
Show Value: To display or hide the numeric representation of the value in a digital textbox.
Virtual LED
Using LED spots is a common way  to create simple graphical interfaces in electronic projects in order to represent system status, alerts, etc. This widget has been included in Thinger.io Platform with the same purpose, so it can be used to show binary status by changing its color, create alerts by setting blink behavior or show multiple data by including more than one color range in a kind of RGB simulation. 
This widget can be configured in many different ways though the three steps form. first of all selecting "Led indicator" in the Widget menu tab, and then indicating:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white). This widget has a particularity behavior in relation to this parameter. Pressing into the green "+" button, It is possible to select different background colors depending on the real time value that is being shown: 
Then, the Led indicator menu tab allows selecting the data source, that can be a connected device or a data bucket:
Chart Input: Configure how to feed the values to the tachometer chart. It is possible to feed the information from a connected device or from a data bucket
From Device Resource: With this option it is necessary to select a device (that must be connected to provide information) and specify the resources to plot. The following figure is an example that is selecting the device deviceA, and the resource millis from the device. Notice that when a time series widget is feed from a device, it will not keep the information if the dashboard is closed or refreshed, as it is just real-time data from your device to your dashboard. You can also select between different refresh modes, like sampling at different intervals (that can be updated online), or the chart is updated by the device.
From Device Property: This option allows retrieving data from device properties, which is really useful to show device configuration data, but also is the better way to show real time (or last received) data from HTTP devices. 
From Data Bucket: With this option, the widget will take the information from a given bucket to plot the historic information on it. So, it is necessary to just select the bucket identifier created in your account. If the bucket is composed by multiple variables, it will allow selecting the variables to plot, like in the following picture. When the information is selected from the data bucket, you will require to establish a data timeframe to be displayed, that can be relative to the current time, or an absolute period between two dates.
Manual Data: It is always possible to manually introduce values in order to create simulate the behavior of the widget.
Finally, the "Display Options" tab allows to custom the led behavior in the next parameters:
Led Size: Configure the diameter of the led spot pixels
Color: configures the led default color, and also allows creating color ranges by pressing the green "+" button on the right side.
Color ranges: Each time that the "+" button is pressed, a new color range is included, allowing to define a new range and the color that will be shown when the selected input value belongs to this range.  
Blinking led option: The right side switches allows adding a blinking behavior to the led when this range profile begins active. It is also possible to disable the blinking by pressing over the led widget. 
Donut Chart
A donut chart is a graph that can display a value, normally in form of a rounded percentage. In this sense, this is quite useful when you have a know variable that oscillates between a maximum and minimum value. In this case, it is only possible to only represent a single variable, that can be both updated in real-time from a device, or from a data bucket.
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Donut Value: Configure how to feed the donut char value. It is possible to feed the information from a connected device or from a data bucket, in a similar way as the time series chart.
Units: Optional information that will display the variable unit, like ºC.
Min Value: The expected minimum value of the variable.
Max Value: The expected maximum value of the variable.
Donut Color: The color to display inside the donut.
Progressbar
A progressbar is a graph that can easily represent a progress on some action or process. In this sense, this is quite useful when you have any process that is being completed over time and needs to be monitored. In this case, it is only possible to only represent a single variable, that can be both updated in real-time from a device, or from a data bucket.
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Progressbar Value: Configure how to feed the progressbar value. It is possible to feed the information from a connected device or from a data bucket, in a similar way as the time series chart.
Units: Optional information that will display the variable unit, like %.
Min Value: The expected minimum value of the variable.
Max Value: The expected maximum value of the variable.
Google Maps
A map can be used to represent, at this moment, a single location in a map. It is quite convenient to track devices in real-time as the chart can be feed in real-time from a connected device, like over a GPRS connection. It is also possible to plot locations from a data bucket, so devices like Sigfox can be also be tracked.
Here is an example of this widget working in real-time with a connected device:
 [![Real-Time GPS location over GPRS using IoT Solution](https://img.youtube.com/vi/3QDDOPMg22g/0.jpg)](https://www.youtube.com/watch?v=3QDDOPMg22g)
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Location: Configure how to feed the location in the map. It is possible to feed the information from a connected device or from a data bucket. When feeding the plot from a data bucket or a device, it is required to match the required latitude and longitude (in degrees) with the variables present in the bucket, or in the device resource.
Center: Force the map to automatically keep the location in the center.
Image/MJPEG
The image/MJPEG widget can be used to represent both a still image, like your business logo, or a live stream from a MJPEG source, like a surveillance camera. To feed this widget it is necessary the image/MJPEG url.
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Image Source: Configure if the image source is a still image, or a MJPEG stream. In both cases it is required to provide the source URL, like in the following screenshot:
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Text/Value
The text/value widget is an useful widget to display any arbitrary data, specially text values that cannot be represented with other widgets. As any other widget, can display data both from connected devices or data buckets.
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Text Value: As any other widget, it is possible to select a resource from a connected device, or a value from a data bucket.
Units: Optional information to display the units of the displayed information.
Text Color: Configure the text color.
Clock
This widget is just a clock widget that can display the current time both in the local time zone or in UTC, which can be useful when monitoring processes in real-time. Note that this widget takes the current time just from your computer.
The configurable parameters are the following:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Color: Color for the text.
UTC: Display the clock in UTC or in the local timezone.
HTML Widget 
This widget allows creating custom data representation interfaces by programming it with standard web source code languages such as HTML, CSS, JS. Being also able to represent data from Thinger.io devices or data buckets or show data from third party sources into the same dashboard. 
To start using the HTML widget, first step is configure the common Thinger.io widget parameters, such as:
Title: Optional title for the widget. 
Subtitle: Optional subtitle for the widget.
Background: Optional color for the widget background (defaults to white).
Then, selecting HTML widget type, it is possible to introduce the data source, that can be a manual value, a Device Resource, a Device Property, or a Data Bucket. And finally, it is possible to define custom HTML code to be displayed.
From Code Snippet
To create a basic widget with a simple code such as a data table, a ready-to-paste script from any website, or any other easy integration. The source code can be wrote using the small text editor in the widget form. Note that this code will be executed in the browser as a part of an AngularJS directive, where some scope has been already defined and initialized. In particular:
ts: Timestamp of the data.
value: Value with the selected value in the configuration, i.e., a device property, bucket data, or real-time data from a device.
Those values can be used in the HTML content with the AngularJS two-way data binding using double brackets, i.e., using {{ts}} or {{value}}. The property's data is displayed on the view, and at the same time, the property will be updated when there is any change.
Basic Code Snippet
Table Code Snippet
Third Party Scripts
Example hello world displaying timestamp, timestamp formatted as a date, and the selected value.
Simple HTML widget displaying data timestamp and its value.
The widget code is the following:
<h1>Hello World!</h1>
<p>Ts: {{ts}}</p>
<p>Date: {{ts | date:'medium'}}</p>
<p>Value: {{value}}</p>
Using the HTML Time Series widget, it is possible to plot information in a given timespan, i.e., latest values from a data bucket. The following example represents an HTML widget holding a list of values from bucket:
HTML Widget with a table
The code to represent this table is like the following: 
<div style="width=100%; height:100%; overflow-y:scroll">
    <table class="table table-striped">
      <thead>
        <tr>
          <th>Time</th>
          <th>Inst Water Flow</th>
          <th>Inst Water Flow (l)</th>
        </tr>
      </thead>
      <tbody>
        <tr ng-repeat="entry in value">
            <td>{{entry.ts | date:'medium'}}</td>
           <td>{{entry.inst_waterFlow}}</td>
           <td>{{entry.inst_waterFlow_liter}}</td>
        </tr>
      </tbody>
    </table>
</div>
Note that this code is using ng-repeat from AngularJS to iterate over all entries available in the `value` variable.
It is possible to insert any other code snippet, i.e., those offered by third party services, i.e., weather predictions, banners, etc.
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Widget example with weather conditions
Next script can be used as example to create an HTML widget with another weather forecast provider:
<div id="c_c1374694634f9f99525990d7fe6508ae" class="ancho"></div><script type="text/javascript" src="https://www.eltiempo.es/widget/widget_loader/c1374694634f9f99525990d7fe6508ae"></script>
​
Will result on a widget with the following forecast information.
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Widget example with weather forecast
From File Storage
For more complex developments over the HTML Widget where several source code files are required, it is possible to use the File Storage feature. This allows the development of more complex interfaces that exploit all the representation capabilities of the browser such as 3D object representation, animated widgets, etc. Moreover, widgets from File Storages can be shared between multiple dashboards is required, so, it is much more maintainable in the long term. 
It is possible to point the widget to a HTML file inside a file storage by selecting the File Storage from HTML Source option and then typing the file name. 
The most interesting option is to create a custom AngularJS directive for custom widgets, as it allows to isolate the widget scope, define custom functions, react to changes, and in general, it is possible to interact more easily with the Thinger.io API via dependency injection. 
AngularJS Directive Example: Hello World
Similar to the Basic Code Snippet example, in this example it is created a simple directive that will display basic information captured in the widget, i.e., the timestamp, the value, and the source configuration. For working with this example it is required to:
Create a new File Storage to store your widgets.
Set public read access to the storage so the widgets can be retrieved when sharing your dashboard via Projects or shared links.
Create two files named htmlWidget.js, and htmlWidget.html inside the storage. The Javascript file is the place where you will set your widget code and logic. In the other side, the HTML widget will hold your widget view.
Initialize the code of both files from the following code:
helloWidget.js
helloWidget.html
angular.module('helloWidget', [])
.directive('helloWidget', function () {
    return {
        restrict: 'EA',
        scope: {
            source : "=",
            ts:      "=",
            value:   "="
        },
        templateUrl: function(){
            let url = document.querySelector("script[src*='helloWidget.js']");
            return url.src.replace('.js','.html');
        },
        controller: ["$scope", function($scope){
            console.log("controller initialized! scope is", $scope);
            
            // listeners for process source changes (if required)
            $scope.$watch('source', function(newVal, oldVal) {
                console.log("Source has changed:", newVal, oldVal);
            });
            
            // listeners for process value changes (if required)
            $scope.$watch('value', function(newVal, oldVal) {
                console.log("Value has changed:", newVal, oldVal);
            });
            
        }]
    }
});
<div>
    <h3>Hello World from AngularJS directive!</h3>
    <p><strong>Source</strong> is {{source}}</p>
    <p><strong>Timestamp</strong> is: {{ts}}</p>
    <p><strong>Value</strong> is: {{value}}</p>
</div>
Create a new widget pointing to to the helloWidget.js file. Note that we are loading the file with the .js extension, that will load the counterpart .html file as specified in templateUrl function. 
Configure the HTML widget to load the directive from File Storage
Now it will be displayed a similar widget to the Basic Code Snippet example. However, there are many differences from basic example, as now we have Javascript file where we can add more values to the scope, process incoming value changes, detect source changes, and more interesting, we can inject dependencies to other Thinger.io console components, like UI widgets, or API methods to update configurations, call devices, etc.
HTML Widget with a simple AngularJS directive
Ensure your widgets use a camelCase name for file names. 
Angular JS Directive Example: React to Value Changes
In this example it is created an advanced widget that will display an animation every time the source value is updated, i.e., when it is streamed by the device, it is updated inside a single property, or created a new entry in a bucket.  
HTML Widget example with SVG
The complex part here is to create a SVG and the corresponding CSS animations. The AngularJS directive just listen for value changes to trigger the animation.
supplyChainWidget.js
supplyChainWidget.html
angular.module('supplyChainWidget', [])
.directive('supplyChainWidget', function () {
    return {
        restrict: 'EA',
        scope: {
            source : "=",
            value:   "=",
            ts:      "="
        },
        templateUrl: function(){
            let url = document.querySelector("script[src*='supplyChainWidget.js']");
            return url.src.replace('.js','.html');
        },
        controller: ["$scope", "DeviceProperty", function($scope, DeviceProperty){
            function animate(){
                var animElement = document.getElementById('Sprint_Card');
                var ribbonOne = document.getElementById('Ribbon_1');
                var ribbonTwo = document.getElementById('Ribbon_2');
                
                animElement.setAttribute('class', 'active');
                ribbonOne.setAttribute('class', 'active');
                ribbonTwo.setAttribute('class', 'active');
                
                var ribbonClear = setTimeout(function(){
                  animElement.setAttribute('class', '');
                  ribbonOne.setAttribute('class', '');
                  ribbonTwo.setAttribute('class', '');
                },1500);
            }
            
            $scope.$watch('value', function(newValue, oldValue) {
                animate();
            });
        }]
    };
});
<style>
.box {
    width: 100%;
    height: 100%;
    display: flex;
    align-items: center;
    justify-content: center;
}
​
svg {
  margin: 5rem auto;
  display: block;
  width: 800px;
  height: auto;
  overflow: hidden;
  max-width: 100%;
  
}
​
#Sprint_Card {
  transform: translate(485px, 99px);
  transition: transform 1s ease-in-out;
}
#Sprint_Card.active {
  transform: translate(6px, 383px);
}
​
#Ribbon_1,
#Ribbon_2 {
  transition: transform 300ms ease-in-out;
  transform-origin: right top;
}
​
#Ribbon_1.active,
#Ribbon_2.active {
  transform: rotate(5deg);
}
</style>
<div class="box">
  <svg xmlns="http://www.w3.org/2000/svg" width="997" height="758" viewBox="0 0 997 758">
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    <linearGradient id="linearGradient-1" x1=".094%" x2="99.957%" y1="49.745%" y2="49.745%">
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      <stop stop-color="#E52E62" offset="15.54%"/>
      <stop stop-color="#D62A5B" offset="28.65%"/>
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      <stop stop-color="#A51D46" offset="54.7%"/>
      <stop stop-color="#A91E48" offset="65.69%"/>
      <stop stop-color="#B5214D" offset="77.18%"/>
      <stop stop-color="#CB2656" offset="88.86%"/>
      <stop stop-color="#ED3065" offset="100%"/>
    </linearGradient>
  </defs>
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