Analyzing datasets in tabular form quickly becomes difficult with a growing number of rows and columns in a dataset. In order to detect certain patterns in such datasets, going through the table line by line proves to be inefficient, which is why visual methods are often used for this purpose. One such method is the aggregation of a subset of interest of the dataset and its visualization in a chart. Off-the-shelf tools already offer the possibility to open datasets and display the contents for visual exploration, but they are either intimidating to new users, limited to a small number of visualizations and not extensible, or simply too expensive. Visualizer was developed as a web application for client side data visualization which can be used as a stand-alone service or integrated into existing web-pages. It was created with non-expert and expert users in mind, and offers the options to extend the platform with new configurable charts and to fully customize and control it via the URL. For example, an expert user can create a layout consisting of different charts representing aspects of a dataset. This layout opens in other users‘ profiles to visualize their data.