Скачать или смотреть Interactive Dashboard Tutorial: Plotly and Jupyter Notebook for Data Visualization in Python

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...

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How to download Jupyter Notebook to use Python
   • How to Download Anaconda for Jupyter Noteb...  

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.

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