Dashboard Components

All Dashboards are comprised of a series of Dashboard Tiles. Tiles are underlaid by Natural Language Queries. Simply put, a natural language query is a data-related question that you ask in your own words. This means you don’t need to have any prior database querying skills to set up a Dashboard, you can just ask questions and get results! 

Tiles 

Dashboards contain a series of Tiles, each housing a query and a corresponding visualization. The size and position/location of each Tile can be easily modified through simple drag and drop commands.

Most importantly, the data that is displayed in each Dashboard is highly customizable and extremely easy to edit through natural language.

Query Input

To display a data response in a Dashboard, simply type your data-related question into the query input bar in a Dashboard tile and hit Enter or the "Play" button. 

The data you have requested will be returned in just seconds. You can ask a wide range of simple-to-complex queries in Dashboards. When you enter a query in your own words in a Dashboard tile and hit Enter (or the Play button), your query is received by the system which is trained to understand what you are asking for, automatically retrieve the data (the answer to your query) and display that result back to you, all within seconds. 

Once you've received your response, you can easily change the visualization, click to drill down into a particular data point, or split your field of view to observe your data in two different visual formats at the same time. 

At the bottom of each tile, there is the text string: "Visualizing X / XX rows". If not all rows are showing, you can click on the first number and a menu with two options, the original number (X) and "All" will appear.  By clicking on "All", all rows will be displayed.  
Note that the maximum number of rows that can be visualized is 5000.

Descriptive Title 

Add a descriptive title to your Dashboard Tile to highlight the data that is being displayed in a clear, concise way. Adding a descriptive title allows you to tell your data story effectively and consume information at-a-glance. 

Visualizations

Dynamically visualize data using a variety of graphing and charting options. Data visualization types are the graphical representations of data (returned as responses to queries) that communicate relationships among the represented data points to viewers or consumers of that data. 

Visualization options show up on-hover in the top left corner of a data response. Dynamically visualize data using a variety of graphing and charting options: 

Tables 

Displays array data in a regular table. See example below: 

Filter Tables 

Displays a multi-dimensional table, with the first column frozen. See example below: Displays a multi-dimensional table, with the first column frozen. See example below:

Line Charts 

Ordinal data is displayed on the x-axis, numerical data is displayed on the y-axis. Will show a line series for each column of data where applicable. See example below:

Pie Charts 

Summarizes a set of nominal data or displays the different values of a given variable (e.g. by percentage distribution). This type of chart is a circle divided into a series of segments. Each segment represents a particular category. See example below:

Bar Charts 

Ordinal data is displayed on the y-axis, numerical data is displayed on the x-axis, bars are horizontal. Will show a series for each column of data where applicable. See example below: 

Column Charts

Ordinal data is displayed on the x-axis, numerical data is displayed on the y-axis, bars are vertical. Will show a series for each column of data where applicable. See example below:

Stacked Bar and Stacked Column Charts

Stacked Bar: Ordinal data is on the y-axis, numerical data is on the x-axis, bars are horizontal. Bars are split into categories using the third dimension. Will show a legend for the categories on the right-hand side. 

Stacked Column: Ordinal data is on the x-axis, numerical data is on the y-axis, bars are vertical. Columns are split into categories using the third dimension. Will show a legend for the categories on the right-hand side.

Note: Only available for queries containing more than one groupable. For example: “Total sales by customer by month this year” 

Stacked Area Charts

Ordinal data is on the x-axis, numerical data is on the y-axis. Each area is stacked on top of the previous area. Will show a legend for the categories on the right-hand side. See example below: 

Note: Only available for queries containing more than one groupable. For example: “Total sales by customer by month this year” 

Heat Maps

The position of the squares are based on the categories, and the opacity of the squares are based on the values. See example below: 

Note: Only available for queries containing more than one groupable. 

Bubble Charts

The position of the bubbles are based on the categories, and the radius of the bubbles are based on the values. See example below: 

Note: Only available for queries containing more than one groupable.

Multi-Axis View (Column Line Combo Chart)Note: Only available for non-aggregated queries containing more than one groupable.