DATATHON

Data visualization helps in presenting billions of data points into meaningful insights. It is a very important tool for all the data scientists to learn and understand the data in more details. Visualization also helps business leaders to take important decisions for company growth and to move in the right direction.

Data-Art (Datart) is a data visualization datathon for all those who are interested in visualizing data. The event provides opportunities to enhance one’s skills in data analysis, data visualization, and possibly more!

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Platform for Data Visualization: Excel and R

Submission Guidelines: File presenting the visualization with notes and codes used for visualization need to be submitted on submission link.

 

Rules

  • Data sheets for Visualization will be provided in excel file format after registration on Data-Art (Datart) dashboard.
  • For Data-Art (Datart) Datathon teams will be a maximum of 3 people.
  • Teams should be made up exclusively of students/professionals.
  • Submit only one visualization per team.
  • Teams can of course gain advice and support from organizers, volunteers, sponsors, and others.
  • All work on a project should be done during the Datathon.
  • Teams can use libraries, frameworks, or open-source code in their projects.
  • Teams can be disqualified from the competition at the organizers’ discretion. Reasons might include but are not limited to breaking the Competition Rules, behaving in a way that violates the Datathon code of conduct, or other unsporting behavior.

Evaluation: Visualization would be assessed on three different parameters: Data, Creativity and impact. Brief outline is given below:

 

Data

  • The data was properly processed and cleaned
  • Visualizations accurately represent the data and are easy to understand

Creativity

  • Participants use an innovative approach (showcase creative design techniques)
  • The presentation and visuals are well-organized and appealing

Impact

  • Visualization helps the audience better understand the issue of misinformation and raise awareness about the topic.
  • Types of misinformation are clearly identified and address an important issue related to misinformation.
  • The analyses introduce possible future works and promote critical thinking.

 

Coordinator: Dr. Ashish Adholiya – 8619602362