Turning data into meaningful visualizations is difficult task. It requires a good understanding of your data and a good command of a data visualizations software. Vysda’s AI interface eliminates both. It is trained on thousands of public data sets and hundreds of thousands visualizations to turn your data into a set of suggested visualizations you can choose from.

Let’s take an example. First login to your Vysda account and go to click on the data icon on the upper right menu:

Press Add Data with AI button:

Drag and drop your data if you have it as a file. Also available is URL and manual copy/paste options.

As soon as the data is uploaded, Vysda AI engine will process it and produce a series of suggested visualizations:

The section on the left side lists all possible visualizations that Vysda AI was able to create from this data. Numbers in small red circles indicate how many such visualizations are available. Let’s click on the map icon at the very end with number 3 in red circle.

It will display all three options. For example the last one means that it is a Europe map showing Value field in the data file against GEO field. Clearly, GEO field is a list of country names or abbreviations. Vysda AI determined that it can create a Europe map by using fields GEO and Value, which has numeric data. Selecting that visualization will produce the following map:

The menu on the right side lists other fields in this data set that can affect GEO-Value map. There are two fields TIME and INDIC_DE that the map depends on. If you want to see number of divorces per 100 marriages in 2013, simply make the following selections

The map will update accordingly:

Each country is represented with a color proportional to the number of divorces per 100 marriages. You can also adjust the expression used to calculate divorce per 100 marriages indicator. Average was used in this case. Other options like Sum, Count, Min, Max are also available.

You can go back to the visualization list on the left side and select from the available charts and diagrams for this data set.