How did d3 js get so famous

The first VISUALIZE event was a complete success

The premiere of the VISUALIZE event at the Faculty of Communication and Environment on June 4, 2019 was more than successful. Over 100 guests took the opportunity to find out more about current trends in the field of interactive data visualization in exciting lectures and to learn new methods in workshops.

The varied lecture program was opened with an exciting contribution on the "visualization of the past" by Dr. Frank Dießenbacher (Dießenbacher Informationsmedien). This was followed by interesting 3D applications from the practice of an engineering office for the documentation and visualization of industrial plants and real estate, presented by Jörg van Kesteren (PV ANSPERGER mbH). Nicolas Fischöder (Rhein-Waal University of Applied Sciences) demonstrated the possibilities of the Houdini 3D animation software for VFX (visual effects), which is used in both game development and film production.

At the beginning of the second series of lectures, Dr. Sebastian Boblest (Automotive Data Intelligence, ETAS GmbH) interactive visualizations within the machine learning workflow. Rafael Regh (CODUCT GmbH) then gave an insight into his startup in the field of visualization of work processes in industrial plants. The lecture program was rounded off by Daniel O’Donnell (Federal Statistical Office), who discussed the opportunities and risks involved in the interactive visualization of statistical data.

Between the lecture parts, the participants were able to exchange ideas and find out more about student and research projects in the VISUALIZE exhibition.

In the interactive workshops in the afternoon, the participants were able to try out and learn different visualization methods as well as the practical application of modern and useful tools in the areas of business intelligence (Qlik Sense), machine learning, Houdini and D3.js under professional guidance.

“The event was very well attended and the feedback was consistently positive. The idea of ​​not restricting the lectures and workshops to one field of application, but deliberately showing the full spectrum of interactive data visualizations in science as well as corporate and administrative practice, was very well received. " Timo Kahl. Prof. Dr. Frank Zimmer added that in addition to the variety of topics, the exciting mix of scientists, practitioners and students was a particular unique selling point of this event.

The two organizers agreed that they would be happy to meet the many requests for a continuation of the event.

6 lectures & discussions

New contacts & cooperations

Exhibition with around 10 projects

Downloads

They have VISUALIZE missed or want to see the content again? Here you can find some lectures for download. You can also access the material for the individual workshops. Please note that the content available here has been partially adapted for publication.

3D applications from the practice of an engineering office for the documentation and visualization of industrial plants and real estate

The renovation and conversion planning of real estate and industrial plants is becoming increasingly complex and demanding. Terrestrial 3D laser scanners and surveying drones have been used to document existing systems and buildings for more than 10 years in order to be able to provide customers from these business areas with the most comprehensive possible basis for their construction and planning tasks. Complex 3D system and building models are then created from the measurement data obtained. In addition, when communicating with customers, there are always new and innovative evaluation options that would not be possible without 3D measurement technology. The process from data acquisition to 3D visualization is demonstrated on the basis of specific projects.

Interactive visualization within the machine learning workflow

Visualization is an important part of data mining and machine learning. It enables effective data analysis and the detection of potential problems with trained models. Since each data set can present its own challenges, no single visualization technology is suitable for all possible applications. Therefore, it is of great advantage if data scientists can quickly switch between different visual representations of their data, especially when they can work together seamlessly. This article introduces our contributions to a framework that enables such exploration of data. With a strong focus on interactivity and high rendering performance, we address one of the major drawbacks of other tools that are widely used, e.g. B. matplotlib, where the manipulation of plots in real time is only possible for very small data sets.

Interactive visualization of statistical data: opportunities and risks

Daniel O'Donnell is Head of Division at the Federal Statistical Office, where he is responsible for the communication of international statistics. One of the topics he deals with there is an intuitively understandable and appealing visualization of international data. In 2015, Mr. O'Donnell was involved in an interdisciplinary HSRW project in which students developed interactive data visualizations on the subject of "Population in Europe". Together with a HSRW student, his presentation also designed an interactive online publication with statistics for the G20 summit in Germany .

Data visualization and analysis with the web-based BI tool Qlik Sense

Marwin Wiegard - E-Government Laboratory, Rhein-Waal University of Applied Sciences

You can download the material for the workshop here and use it for private purposes. Passing on, duplication and publication is not permitted.

Download steps:
  1. Download Qlik Sense Desktop
    https://www.qlik.com/de-de/try-or-buy/download-qlik-sense
  2. Download workshop material
  3. Install Qlik Sense Desktop
  4. Open Qlik Sense Desktop, log in and use the mouse to drag the app (.qvf) from the Workshop Material into the work area (Qlik Sense Hub)
  5. The data is already loaded in the app. If necessary, set up a new data connection if you want to reload the data. The original data is available at: https://datasets.imdbws.com/

    In the data editor section "Internal: Create QVDs" is the commented out script code to create reduced QVD files from the CSV files.

Machine learning and visualization: practical examples and implementation in Python

Marco Pleines - Technical University of Dortmund

You can download the material for the workshop here and use it for private purposes. Passing on, duplication and publication is not permitted.

Download steps

  1. Download and unzip the workshop material
  2. Download workshop slides

Interactive data visualization on the web with D3.js

Sven Nehls - Master's degree in Digital Media, Rhein-Waal University

You can download the material for the workshop here and use it for private purposes. Passing on, duplication and publication is not permitted.

Download steps:

  1. Download XAMPP (https://www.apachefriends.org/de/index.html)
  2. Download and unzip the workshop material
  3. Install XAMPP
  4. Copy the “Material” folder from the unzipped ZIP archive into the “C: / xampp / htdocs” folder.
  5. Open XAMPP and start the "Apache" module
  6. You can then open the data visualization developed in the workshop via the URL http: // localhost / Material in your web browser.

Houdini Clouds

Dennis Dornia - Freelance Digital Artist,
Nicolas Fischöder - Laboratory for Computational Intelligence and Visualization, Rhein-Waal University

You can download the material for the workshop here and use it for private purposes. Passing on, duplication and publication is not permitted.