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How do I use the T-Cube Web Interface?

Client Requirements (Java, JavaScript)

You need both Java and JavaScript enabled to view the T-Cube Web Interface.

If you do not have Java installed you can obtain it from java.com.
If you do have Java you may need to check your security settings to make sure that applets are enabled.

If your JavaScript is disabled, then you will see a warning below. If there is no warning, it means that your JavaScript is enabled.

Uploading data:

Select the file you want to upload (type: .csv, .fds) specifying the date attribute and, optionally, the count attribute. Click on the "Load Data" button to upload the file.

Upload file panel

Characteristics of the dataset:

In case you do not have any data files in the right format you may upload a sample data file. Click on the "Choose Sample Data File" menu and select one of the data files you would like to view.

Upload sample file panel
Upload sample file panel


Viewing Messages From The Server - Status, Errors:

The console window at the top of the page displays short messages.

Status messages are marked in black:

Status message

Error messages are marked in red:

Error message

All longer messages from the server are displayed in the larger console window at the bottom of the page.

Error message

Drill down on query:

Once your dataset is loaded into the T-Cube Web Interface, all attributes are displayed in the in the 'Drill down on query' panel. The set of possible values taken by a particular attribute is displayed on selecting the attribute. Attribute-values can be selected/unselected to change the "Current Query" accordingly. The changes happen immediately and are shown on the time series applet and map display (if applicable).

Attributes panel

The query applied to your dataset is displayed on clicking 'Show query'.

Positives query box

Click on "Reset query" to change "Current Query" to the default empty query. All attribute value selections, timeseries and map displays are also reset.

The chart displays the time-series of counts in your data spanning the entire time duration as in your dataset. You may scroll the chart using the dividers located above the chart.


Analysis Panel:

The Analysis Panel presents all the loaded timeserieses and a menu of methods/operations which can be undertaken with specified parameters. You can also take csv dumps of the current timeserieses in view.

Analysis Panel

The list of available methods in the Analysis Panel are as follows -

By default, the pvalues are displayed on a logarithmic scale on the right-hand vertical axis on the chart. To change the scale to a linear one, select the "Linear Scale" radio button.

Choose scale bar

Massive Screening:

You may run massive screening by selecting attributes (and specific values, optionally).

Massive Screening box

Selecting any attribute checkbox will display its respective list of possible values.

Enter the window sizes, pvalue threshold values and choose at most three attributes in your dataset that you want to use to run the screening. Click on "Run screening" button to retrieve the massive screening results.

Once the screening is finished, queries are listed in the decreasing order of significance. To view any of the listed queries, select the query in the list. All these columns in the table are sortable in ascending/descending order by clicking on the column name.

Result of massive screening box

A spatial distribution of your dataset will be shown which you can use for browsing your data submitting specific queries and filters. The spatial counts are drawn as circles of sizes corresponding to the counts and a legend is shown on the bottom left of the map. You can zoom in/out on the map and click to view toolips about nearby locations and their counts.

Map Image
Pivot Table:

Select row and column attributes by clicking on them to generate pivot table of timeseries counts. Filter table by start-end dates and drill down any attribute-value. You can click on the table cells to view timeseries for the count cells and pie chart for the label cells.

Pivot table