Bring Your Data To Life By Graphing It On Streamlit: Create Knowledge Graphs With Streamlit
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Data is visualized for extraction
Data is visualized for extraction knowledge. What if the data visualisation itself can be knowledge graphs. We will see how to build such graphs, and interact with them in realtime, on the web.
Following are 2 apps that show what is possible to begin with
https://jsongrapher.streamlit.app/
https://companymanagement.streamlit.app/
The video discusses on the process of imagining the type of data visualization is required, and from there, various python libraries are researched for accomplishing the task. The python libraries all have one thing in common, Python Classes. All libraries create python objects of various capabilities, with which one can interact using the methods and attributes. We discuss that in detail.
Chapter Navigation:
0:00 Ways of Using Knowledge Graphs
1:42 Introducing Streamlit Demo-1
3:50 Introducing Streamlit Demo-2
6:40 Starting to Discuss Code
7:40 Challenge In Creating & Visualizing Graph
8:33 Introducing Streamlit Agraph
10:00 How Agraph Creates Graph
14:30 Code Implementation
29:00 Creating Nodes From Data Points
34:00 Recap & Outro
The data and the code is located at
https://raw.githubusercontent.com/Kam...
https://github.com/insightbuilder/pyt...
I believe you will like this video, and subscribe to the channel. Further uploads related to Big Data, Large Language models and Artificial Intelligence will be shared to your Youtube Dashboard Directly.
The supporting playlists are
The bard Project
Google Bard LLM : New AI Model in the...
Practical Projects Playlist
The Future is Here: Large Language Mo...
Huggingface Playlist
Mastering NLP with Hugging Face: A Co...
Python Data Engineering Playlist
Learn to Data Engineer and Problem So...
Python Ecosystem of Libraries
Mastering the Python Ecosystem: Must-...
ChatGPT and AI Playlist
Learn about AI Language Models and Re...
AWS and Python AWS Wrangler
Building a Powerful Data Pipeline wit...
PS: Got a question or have a feedback on my content. Get in touch
By leaving a Comment in the video
topmate.io/insightbuilder?utm_source=topmate&utm_medium=popup&utm_campaign=SocialProfile
@mail [email protected]
@twitter Handle is @KQrios
@medium Medium: about
@github https://github.com/Kamalabot
Following are 2 apps that show what is possible to begin with
https://jsongrapher.streamlit.app/
https://companymanagement.streamlit.app/
The video discusses on the process of imagining the type of data visualization is required, and from there, various python libraries are researched for accomplishing the task. The python libraries all have one thing in common, Python Classes. All libraries create python objects of various capabilities, with which one can interact using the methods and attributes. We discuss that in detail.
Chapter Navigation:
0:00 Ways of Using Knowledge Graphs
1:42 Introducing Streamlit Demo-1
3:50 Introducing Streamlit Demo-2
6:40 Starting to Discuss Code
7:40 Challenge In Creating & Visualizing Graph
8:33 Introducing Streamlit Agraph
10:00 How Agraph Creates Graph
14:30 Code Implementation
29:00 Creating Nodes From Data Points
34:00 Recap & Outro
The data and the code is located at
https://raw.githubusercontent.com/Kam...
https://github.com/insightbuilder/pyt...
I believe you will like this video, and subscribe to the channel. Further uploads related to Big Data, Large Language models and Artificial Intelligence will be shared to your Youtube Dashboard Directly.
The supporting playlists are
The bard Project
Google Bard LLM : New AI Model in the...
Practical Projects Playlist
The Future is Here: Large Language Mo...
Huggingface Playlist
Mastering NLP with Hugging Face: A Co...
Python Data Engineering Playlist
Learn to Data Engineer and Problem So...
Python Ecosystem of Libraries
Mastering the Python Ecosystem: Must-...
ChatGPT and AI Playlist
Learn about AI Language Models and Re...
AWS and Python AWS Wrangler
Building a Powerful Data Pipeline wit...
PS: Got a question or have a feedback on my content. Get in touch
By leaving a Comment in the video
topmate.io/insightbuilder?utm_source=topmate&utm_medium=popup&utm_campaign=SocialProfile
@mail [email protected]
@twitter Handle is @KQrios
@medium Medium: about
@github https://github.com/Kamalabot
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در تاریخ 1402/04/08 منتشر شده
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