What tools are commonly used for data analytics in the transportation sector?
In transportation, tools like Tableau, R, Python, and GIS software are commonly used for data analytics.
Can you explain how Tableau is used in transportation analytics?
Tableau helps visualize transportation data, making it easier to identify trends and patterns in traffic and logistics.
What role does Python play in data analytics for transportation?
Python is used for data manipulation, statistical analysis, and building machine learning models to optimize transportation systems.
Are there any specific GIS tools that are popular in this field?
Yes, tools like ArcGIS and QGIS are popular for mapping and analyzing spatial data in transportation.
How do these tools improve decision-making in transportation?
They provide insights through data visualization and analysis, helping stakeholders make informed decisions to enhance efficiency.
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