Interactive Dashboard Tutorial Plotly and Jupyter Notebook for Data Visualization in Python

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http://youtube.com/watch?v=yql0o1QO5Xc

In this tutorial, learn how to create interactive charts and dashboards using Python and Plotly Express in Jupyter Notebook. We'll guide you through building a powerful data visualization dashboard with step-by-step instructions, perfect for anyone interested in Python interactive charts. Whether you're a beginner or looking to enhance your skills, this video covers all you need to know to make engaging charts and dashboards in Jupyter Notebook. Don't forget to subscribe for more tutorials on data visualization in Python! • Dataset from Kaggle: • https://www.kaggle.com/datasets/waqi7... • Ways To Support My Channel: • Buy Me A Coffee: https://buymeacoffee.com/datageekismy... • 💎Support my channel and hit the Like Subscribe buttons💎 • Continue your learning with Python: • https://learnpython.com/?ref=mgzmzjn • Get free resources to continue learning: • https://www.excelcampus.com/ • Great Books For Mastering Data Science and Data Cleaning Python For Data Analysis: https://amzn.to/4dQUOaF • Python Data Science Handbook: https://amzn.to/3BV6hsk • Hands On Machine Learning with Scikit-Learn TensorFlow: https://amzn.to/4h8IxRS • Python Machine Learning by Sebastian Raschka: https://amzn.to/401eIMU • Modern Python Cookbook: updated: https://amzn.to/3BV6sE0 • How to download Jupyter Notebook to use Python • • How to Download Anaconda for Jupyter ... • Timestamps: • 00:00 - Welcome • 00:35 What is plotly why use it. • 01:17 List of steps 1 through 10. • 2:17 Where to get the dataset • 03:04 Review the dataset • 04:04 Open Anaconda Jupyter Notebook • 06:22 Step 1: Installing the ploty package into Jupyter Notebook • 08:10 Step 2: Import necessary packages. • 08:38 Step 3: Load and Inspect the Dataset • 12:21 Step 4: Create an Interactive Bar Chart • 18:30 Step 5: Add a Filterable Scatter Plot • 21:29 Step 6: Create a Heatmap • 24:17 Step 7: Add a Line Chart • 26:31 Step 8: Add a Pie Chart • 27:58 Step 9: Combine Visualizations in a Dashboard Layout - Finally, we bring all the charts together into a single dashboard layout using a grid format. • 31:43 Step 10: Save to Share the Dashboard. • Disclaimer: This content is for educational purposes only. Affiliate links may be included, and I may earn a small commission at no extra cost to you. Thank you for supporting the channel!

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