Best Practices

Best practices to help you get the most out of Visuals

Accepted File Types

Visuals currently accepts datasets in CSV and XLSX formats. More file support is under active development.

Uniform Datasets

Visuals performs best when a dataset is uniform - meaning that the first row of the dataset consists of headers, and every row thereafter is an object that has fields matching the headers. Visuals will sometimes auto-reject datasets that are not uniform, but will try to be flexible when interpreting data.

In order to get the best performance out of Visuals, ensure that there are no extra headers, rows, descriptors, etc outside of your core dataset.

Examples of Good Datasets

222KB

motorVehicleThefts.csv

Open

A uniform dataset displaying motor vehicle thefts in New Zealand

4MB

Consumer_Complaints.xlsx

Open

A uniform dataset displaying customer complaints submitted to Bank of America