🔑 GitHub repo for this project: [ Ссылка ]
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Hey data nerds 👋, in this video we made an attempt to extract relationships between The Witcher's characters from the books. We also did some graph analyses (centrality measures and community detection) and visualization using NetworkX and Pyvis. The analyses are still quite preliminary and I might have glossed over some details, but hopefully, this is a bit interesting and you learned something from it 🤓. This is the second project in the Witcher project series where we will analyze the relationships between characters. The next episode of this series will be all about network graph visualization 😁. I hope you enjoyed this video and any questions and thoughts are welcome! Thank you for watching 🙌🏽

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📖 Data Visualization with Tableau Specialization 👉[ Ссылка ]
📖 Deep Learning Specialization 👉 [ Ссылка ]
📖 Mathematics for Machine Learning and Data Science Specialization 👉 [ Ссылка ]
📖 Applied Data Science with Python 👉 [ Ссылка ]

🙋🏻‍♀️ LET'S CONNECT!
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✍ Medium: [ Ссылка ]
🔗 All links: [ Ссылка ]


🔑 TIMESTAMPS
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0:00 - Intro & objectives
0:47 - Installing packages & project setup
2:07 - Plan for the project 🧭
3:34 - Get data & process data
5:13 - Read in character names
7:06 - Get character list per sentence
9:47 - Create relationship df
14:22 - Network graph visualization & analysis
18:40 - Centrality measures
20:26 - Community detection
21:54 - Characters' importance over time
25:25 - Where to learn graph analytics
26:18 - Some announcement 😉

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#networkanalysis #Datanerd #DataAnalysis #datascience #ThuVu #dataanalytics

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