Using the Dashboard

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This is a short visual tutorial for using the Kibana dashboard. It covers activating an index, creating a dashboard and creating basic visualizations. This tutorial follows after logging on to and closely follows the video referred to in 1st Time Setup - Video: Dashboard

Create an Index Pattern

1. Navigate to the Management tab in on the menu on the left and select "Index Patterns"

Dashboard-Management 1B.png

2. Select "+ Add New"

Dashboard-Management 2B.png

3. Complete the new field with the index name chosen during configuration of CW01 (1st Time Setup) and select "Create" at the bottom of the page

Dashboard-Management 3.PNG

Create a Dashboard

1. Navigate to the Dashboard tab in on the menu on the left and select the "+" icon to create a dashboard


2. From the new page visualizations can be added and the dashboard then saved


3. Visualizations created by a user can be selected added to the dashboard and then saved and edited later
  • Visualizations can also be created from this page and added to the dashboard - remember to save changes you wish to keep


4. Customizing the dashboard and shaping added visualizations can be done from the dashboard screen


Creating Visualizations

1. Navigate to the Visualize tab in on the menu on the left and select the "+" icon to create a new visualization


2. Select from a wide variety of chart types can be created
  • This tutorial will demonstrate creating a line chart as an example



3. After selecting the type of chart, select the source of the data you want to visualize
  • E.g. the the index created earlier in this tutorial


4. In the "New Visualization" screen click on the time frame in the top right to narrow the data to a specific timeframe
  • There are various ways to customize the timeframe of the data you wish to visualize






5. Adding and changing metrics (as shown below) will produce a simple graph over time (for the period set in step 4)
  • The aggregation on the Y-axis is set to average thus the data values of all the devices sending data to the same index will be averaged
  • The Y-axis field refers to the Ground Station/Sensor(☒CHIPS)/Data
  • The Count metric refers to the number of discreet data points that have been logged and can be removed after adding another metric to the Y-axis
  • It is possible and valuable to add additional Y-axis metrics, but keep in mind the scale of the data you are adding, for instance pairing pressure and temperature on the same axes would not create a practical visualization
  • Use the green Play icon to apply changes to the visualization

Dashboard-VisualizeY1.PNGDashboard-VisualizeX1.PNG Dashboard-Visualize6.PNG

6. Selecting the "Options" tab in the sidebar shows several customization options and settings such as legend placement and scaling of the Y-axis
  • Selecting the legend allows one to selected different colors for different metrics
  • Use the green Play icon to apply changes to the visualization

Dashboard-Visualize7B.pngDashboard-Visualize8B.png Dashboard-Visualize9B.png

7. Save visualizations by selecting "Save" in the centre of the top banner
  • Saved visualizations can be added to dashboards


Creating a Scatterplot

1. Creating a scatter plot follows the same process as Creating Visualizations from steps 1-4.
2. The settings and metrics for a scatter plot is shown below:
  • Keep in mind appropriate scaling and the amount of data being handled to scale as aggregation will use average for intervals over extended periods
  • In this example, pressure is graphed over temperature over the course of several days with a reading uploaded every 30 seconds - a very large amount of data to render - and thus visualization is not completely accurate