What is graph visualization in data science?
An example of an AI chatbot conversation about graph visualization in data science.
What is graph visualization in data science?
Graph visualization is a way to represent data in a graphical format, making it easier to understand relationships and patterns.
Why is it important for data analysis?
It's important because it helps to reveal insights that might be hidden in raw data, allowing for better decision-making.
What are some common tools used for graph visualization?
Common tools include Gephi, Cytoscape, and libraries like D3.js and NetworkX in Python.
Can you give an example of a real-world application?
Sure! Social network analysis is a common application, where graph visualization helps to understand connections between users.
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