Visualization using Databricks AI/BI

Case Study: Data Analysis in Databricks

Elliot Zhu

Data Scientist

Define the objective

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What questions need answering?

  • Identify key business goals or problems

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What insights are critical?

  • Focus on trends, anomalies, and actionable data

Illustation for objective.

Case Study: Data Analysis in Databricks

Gather and prepare data

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  • 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

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  • 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

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

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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