Computer Scienceや読書のメモ

From Beautiful Maps to Actionable Insights

Article(1700 words)


Data Visualization at Uber

  • At Uber, / we leverage data visualization / to better understand / how our cities move.
  • most importantly, / derive insights / from rich location data.
  • To make it easier / for users / with a variety of experience and skill levels / to create meaningful data visualizations, / we are proud to announce the launch of, / our open source analytics tool.


Figure 1: The common process of creating a data visualization includes data collection, data processing, visual exploration, and then layering.


What is


Figure 2: is a data agnostic, high-performance web-based application for large-scale geospatial visualizations.


  • is a data-agnostic, / high-performance web-based application / for visual exploration / of large-scale geolocation datasets.
  • helps users quickly validate ideas / and glean insights / from these visualizations.



Figure 4: The UX flow is composed of five layers, including the hexagon, arc, and point.


  • All layer geometry calculations are GPU-accelerated, / enabling us to smoothly render millions of points / and making a much more powerful web tool / than traditional cartography software.
  • Not only does let users quickly explore data, / but it also empowers them / to create beautiful maps.



Figure 7: enables you playback time series’ to visualize spatio-temporal data.


Moving forward

  • By open sourcing, / users of different experience and technical skill levels now have access to free software / that helps them build and customize impactful, data-driven maps.
  • More importantly, giving back the software enables us to foster a developer community / that can support’s future development.
  • Data scientists, architects, visualization specialists, and engineers from companies have found tremendous value / in’s simplicity, capabilities, and speed.



  • derive insights 洞察を得る
  • data-agnostic データに依存しない
  • glean insights 洞察を得る


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