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...
Analyze data using Python in this beginner-friendly Pandas tutorial. In this video, you’ll learn how to take a cleaned dataset and turn it into real insights using Python — just like a data analyst.
We’ll walk step-by-step through a real data analysis project where you’ll learn how to:
• Calculate total revenue
• Find top-performing products
• Analyze revenue by region
• Calculate average order value
• Identify high-value orders
• Explore trends over time
• Create simple visualizations
This is part of a full data analytics workflow series:
1. Create dataset using Python.
2. Clean messy data with Python.
3. Analyze data using Python (this video)
4. Build a dashboard in Python in 10 mins.
*Watch the full playlist here*: • From Raw Data to Dashboard
How to download Python, VS Code & Jupyter Notebook : • How to Install Python, VS Code & Jupyter N...
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How to download Jupyter Notebook to use Python
• How to Download Anaconda for Jupyter Noteb...
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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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