Michael Burch studied computer science and mathematics at the Saarland University in Saarbrücken, Germany. He received his PhD from the University of Trier in 2010 in the fields of information visualization and visual analytics. After 8 years of having been a PostDoc in the Visualization Research Center (VISUS) in Stuttgart, he moved to the Eindhoven University of Technology (TU/e) as an assistant professor for visual analytics. From October 2020 he has been working as a lecturer in visualization at the University of Applied Sciences in Chur, Switzerland. Michael Burch is on many international program committees and has published more than 190 conference papers and journal articles in the field of visualization. His main interests are in information visualization, visual analytics, eye tracking, and data science.Marco Schmid studied Natural Resource Science (with specialization in Renewable Resources and Sustainable Energy) at the School of Life Sciences and Facility Management (ZHAW) in Zurich, Switzerland. During his study he worked as a scientific research assistant at the Institute of Applied Simulation at ZHAW. Then he worked for 3 years in a start-up company focused on machine learning and predictive models before he moved to the University of Applied Sciences in Chur, Switzerland in 2019 where he works as a scientific researcher. His main fields of interest are data science and software development.

• 1. Introduction 2. Creating Powerful Dashboards 3. Python, Dash, Plotly, and More 4. Coding in Python 5. Dashboard Examples 6. Challenges and Limitation 7. Conclusion

Michael Burch studied computer science and mathematics at the Saarland University in Saarbrücken, Germany. He received his PhD from the University of Trier in 2010 in the fields of information visualization and visual analytics. After 8 years of having been a PostDoc in the Visualization Research Center (VISUS) in Stuttgart, he moved to the Eindhoven University of Technology (TU/e) as an assistant professor for visual analytics. From October 2020 he has been working as a lecturer in visualization at the University of Applied Sciences in Chur, Switzerland. Michael Burch is on many international program committees and has published more than 190 conference papers and journal articles in the field of visualization. His main interests are in information visualization, visual analytics, eye tracking, and data science.Marco Schmid studied Natural Resource Science (with specialization in Renewable Resources and Sustainable Energy) at the School of Life Sciences and Facility Management (ZHAW) in Zurich, Switzerland. During his study he worked as a scientific research assistant at the Institute of Applied Simulation at ZHAW. Then he worked for 3 years in a start-up company focused on machine learning and predictive models before he moved to the University of Applied Sciences in Chur, Switzerland in 2019 where he works as a scientific researcher. His main fields of interest are data science and software development.

• 1. Introduction 2. Creating Powerful Dashboards 3. Python, Dash, Plotly, and More 4. Coding in Python 5. Dashboard Examples 6. Challenges and Limitation 7. Conclusion

Michael Burch studied computer science and mathematics at the Saarland University in Saarbrücken, Germany. He received his PhD from the University of Trier in 2010 in the fields of information visualization and visual analytics. After 8 years of having been a PostDoc in the Visualization Research Center (VISUS) in Stuttgart, he moved to the Eindhoven University of Technology (TU/e) as an assistant professor for visual analytics. From October 2020 he has been working as a lecturer in visualization at the University of Applied Sciences in Chur, Switzerland. Michael Burch is on many international program committees and has published more than 190 conference papers and journal articles in the field of visualization. His main interests are in information visualization, visual analytics, eye tracking, and data science.Marco Schmid studied Natural Resource Science (with specialization in Renewable Resources and Sustainable Energy) at the School of Life Sciences and Facility Management (ZHAW) in Zurich, Switzerland. During his study he worked as a scientific research assistant at the Institute of Applied Simulation at ZHAW. Then he worked for 3 years in a start-up company focused on machine learning and predictive models before he moved to the University of Applied Sciences in Chur, Switzerland in 2019 where he works as a scientific researcher. His main fields of interest are data science and software development.

• 1. Introduction 2. Creating Powerful Dashboards 3. Python, Dash, Plotly, and More 4. Coding in Python 5. Dashboard Examples 6. Challenges and Limitation 7. Conclusion