Overview of the Visualization Dashboard
The data from the real estate transactions has been reloaded without the changes, so that we have more data available. After loading the data and accepting the table, the Visualization Dashboard will look as follows:
On the left side we can see all the column names from the dataset table. They are split into numerical and categorical data. Numerical data represents the fields, where the columns are filled with numbers and categorical the rest (date, location, string). The vast empty area in the middle will host the visualizations. On the right is the VisPicker. The VisPicker is a tool which helps with the creation of visualizations. Selecting fields on the left, will automatically toggle charts in the VisPicker which are compatible with those fields. For example if "city" and "price" get selected the VisPicker will look like this:
Clicking now for example on the bar chart icon in the VisPicker will open a dialog in which it is possible to select the aggregation for the numerical type. Lets leave it at average and click on accept. This will create the bar chart.
The charts can be sorted and filtered with the buttons in the upper left corner of the created visualization window. The buttons in the upper right of the visualization window are typical window buttons, which allow the visualization window to be minimized, maximized and closed. The windows can be moved around the dashboard and resized at one's convenience. The visualizations are additionally linked together, which means, when creating two or more visualizations, selecting elements in one visualization will highlight the matching ones in the other. The matching is based on the category and not on the exact value, so it is possible to make better comparisons.
Additionally to recommending compatible charts for the selected fields, it is also possible to get recommendations the other way around. Hovering over a visualization icon will display more information about the chart (what kind of fields go unto what visual channel) and it will give recommendations for mappings of fields compatible with this chart. Clicking on one of those combinations will open the aggregation dialog and after that the chart gets created.
Having created the desired visualizations, it is possible to share the insights with other users by generating a bookmark link by clicking on the "Get Bookmark Link" button. Similar to saving a configuration, the bookmark link gets automatically added to the clipboard. If the dataset has been loaded remotely, pasting the link into the address bar of the browser will automatically load the dataset and display the visualizations. On the other hand, if the dataset has been loaded locally, the user will be prompted to select a dataset after pasting the link. After the dataset has been selected and accepted, the visualizations saved in the link will be displayed.
Taking the URL generated by the "Get Bookmark Link" button and appending to it "&presentationMode=true", will directly go to the preview mode in visualizer, where the navigational elements are disabled. Having a dataset loaded from a URL it is possible to set the src attribute of an iframe to the bookmark link with a set presentationMode parameter, to seamlessly integrate visualizations in other web pages.