Public transportation is an essential component of the urban transportation system. It connects the economy and life of urban areas. Data visualization is a powerful tool for analyzing complex public transport data and presenting it in a way that is easy to understand. It starts by explaining the different types of data visualizations suitable for public transport data graphs and charts. Google Data Studio is a web-based data visualization tool that allows users to create easy-to-understand interactive reports and dashboards, enabling real-time access and automatic updates as source data changes. Data visualization is applied to analyze existing public transport data. The results of data visualization analysis can be used to identify problems in the public transport system and formulate appropriate solutions. Overall, it shows that data visualization is a valuable tool to analyze public transport data and support proper decision-making in the development of sustainable urban transport.

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Data Visualization for Analyzing Karawang Public Transport Data

  • Sutan Faisal,
  • Ahmad Fauzi,
  • Agustia Hananto,
  • Bayu Priyatna,
  • April Lia Hananto

摘要

Public transportation is an essential component of the urban transportation system. It connects the economy and life of urban areas. Data visualization is a powerful tool for analyzing complex public transport data and presenting it in a way that is easy to understand. It starts by explaining the different types of data visualizations suitable for public transport data graphs and charts. Google Data Studio is a web-based data visualization tool that allows users to create easy-to-understand interactive reports and dashboards, enabling real-time access and automatic updates as source data changes. Data visualization is applied to analyze existing public transport data. The results of data visualization analysis can be used to identify problems in the public transport system and formulate appropriate solutions. Overall, it shows that data visualization is a valuable tool to analyze public transport data and support proper decision-making in the development of sustainable urban transport.