Visualization using Databricks AI/BI

Case Study: Data Analysis in Databricks

Elliot Zhu

Data Scientist

Define the objective

What questions need answering?

Identify key business goals or problems

What insights are critical?

Focus on trends, anomalies, and actionable data

Illustation for objective.

Case Study: Data Analysis in Databricks

Gather and prepare data

  • Identify relevant datasets
  • Clean, transform, and structure data for analysis
  • Ensure accuracy and completeness

Illustration for data gathering.

Case Study: Data Analysis in Databricks

Design and build visualizations

  • Choose visuals that match the data and objective
  • Prioritize clarity and simplicity
  • Incorporate interactivity for deeper exploration

Example: bar charts for comparisons, heatmaps for density, maps for geographic insights

Illustration for visualization design.

Case Study: Data Analysis in Databricks

Validate, interpret, and present insights

  • Test visualizations for accuracy and usability
  • Interpret insights with business context
  • Present findings clearly to stakeholders

Illustration for using visualization for actionable insights

Case Study: Data Analysis in Databricks

Let's practice!

Case Study: Data Analysis in Databricks

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