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Puneet Vijwani
เข้าร่วมเมื่อ 3 มี.ค. 2023
Welcome to this the analytics channel! We bring you the most recent information and developments in the fields of business intelligence, statistics, and data analysis. With enlightening and entertaining content, our channel is created to assist you in staying current. Join our data-loving community today to learn more about the power of analytics!
Interactive Data Visualizations with ipywidgets in Fabric Notebooks
Topmate Link: topmate.io/puneet_vijwani
LinkedIn Link: www.linkedin.com/in/puneetvijwani/
In this video, you'll learn how to supercharge your Fabric Notebooks and data narratives by adding intuitive controls like sliders, dropdowns, and toggle buttons directly linked to your Matplotlib and Seaborn plots. Instantly filter, toggle between visualizations, and update parameters to see the impacts in real-time. Level up your notebook sharing game and bring your data to life!
Explore illustrative examples, including an interactive scatter plot for visualizing can be ( with dummy data) train punctuality across different days of the week and a dynamic scatter chart for modeling train punctuality trends throughout the day. Also included the magic of linking widgets together for continuous updates
Whether you're a data analyst, researcher, or anyone who wants to create engaging and insightful data stories, this video is a must-watch. Enhance your data exploration and communication skills with ipywidgets and take your analysis workflows to new heights.
Chapters:
0:00 Intro
0:45 Ipywidgets?
1:54 Basic Widget Types
3:26 Interactive Scatter Plot for Train Punctuality
7:11 Dynamic Scatter Chart for Punctuality Trends
09:35 Linking Widgets (Delayed vs Continuous Updates)
11:43 Why not widgets.interact?
12:24 Conclusion
Tags:
#ipywidgets #MicrosoftFabricNotebooks #DataVisualization #InteractiveVisualizations #DataAnalysis #DataStoryTelling #Matplotlib #Seaborn #PythonLibraries #InteractiveControls #DataExploration #AnalyticsTools
LinkedIn Link: www.linkedin.com/in/puneetvijwani/
In this video, you'll learn how to supercharge your Fabric Notebooks and data narratives by adding intuitive controls like sliders, dropdowns, and toggle buttons directly linked to your Matplotlib and Seaborn plots. Instantly filter, toggle between visualizations, and update parameters to see the impacts in real-time. Level up your notebook sharing game and bring your data to life!
Explore illustrative examples, including an interactive scatter plot for visualizing can be ( with dummy data) train punctuality across different days of the week and a dynamic scatter chart for modeling train punctuality trends throughout the day. Also included the magic of linking widgets together for continuous updates
Whether you're a data analyst, researcher, or anyone who wants to create engaging and insightful data stories, this video is a must-watch. Enhance your data exploration and communication skills with ipywidgets and take your analysis workflows to new heights.
Chapters:
0:00 Intro
0:45 Ipywidgets?
1:54 Basic Widget Types
3:26 Interactive Scatter Plot for Train Punctuality
7:11 Dynamic Scatter Chart for Punctuality Trends
09:35 Linking Widgets (Delayed vs Continuous Updates)
11:43 Why not widgets.interact?
12:24 Conclusion
Tags:
#ipywidgets #MicrosoftFabricNotebooks #DataVisualization #InteractiveVisualizations #DataAnalysis #DataStoryTelling #Matplotlib #Seaborn #PythonLibraries #InteractiveControls #DataExploration #AnalyticsTools
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