Enter the search key word in search bar and click ‘Visualize!’ button.
The real button is right above this guide.

The space below the search bar will construct the results in a visual graph (or network) arrangement.

Datasets that are related to other datasets will be clustered closer to each other. Column names that are common between datasets will be connected to each other. Datasets without any relations will float freely.

- Date or time columns are represented with calendar/clock icon.
- Number is represented with number "12" within circle. It includes both integer and non integers.
- Text is represented with alphabet letter "a".
- Columns that are not related are only in grey. Columns that are related to more than one datasets have a sky blue ring in the icon.

Yes. The user can arrange the datasets and columns as per their need and convenience. In fact, we recommend you arrange the datasets into easily readable clusters. Single click and drag on any dataset to make the entire result visualization flexible and interactive.

Once the user has arranged the dataset or column names, single mouse click on any dataset or column node to freeze the visualization.

- Move the mouse pointer over the dataset node. Small pop-up window will display the dataset size and total number of records in it.
- Double click the dataset to open the open data source web page in separate tab.
- Right click the dataset to read the dataset description.

Move the mouse pointer over the column node. Small pop-up window will display additional information depending on the column data type. Possible value ranges will be shown based on data attributes:
- Nominal attributes - Mode. E.g. frequently occuring Route id.
- Binary attributes - Binary values. E.g. wheel boarding or not.
- Ordinal attributes - Range of values within dataset. E.g. ranking.
- Numeric attributes - Average and range.