Learn Python Plotly Data Visualization with 10 Practical Examples
In this video, you will learn Python Plotly data visualization step by step using 10 practical examples, starting from the very basics and gradually moving toward advanced and interactive visualizations.
We begin with simple line and bar charts to understand how Plotly works, then move on to scatter plots, histograms, box plots, and bubble charts. Finally, we finish with an interactive visualization using a real dataset, similar to what you would see in analytical dashboards and web applications.
0:00 - Intro & Installation (pip install plotly pandas)
0:53 - Example 1: Basic Line Chart
1:31 - Example 2: Bar Chart
2:02 - Example 3: Scatter Plot
2:32 - Example 4: Line Chart with Markers
3:01 - Example 5: Multiple Line Chart
3:32 - Example 6: Pie Chart
3:55 - Example 7: Histogram
4:20 - Example 8: Box Plot
4:44 - Example 9: Bubble Chart
5:06 - Example 10: Interactive Data Visualization (Iris Dataset)
5:42 - Free Python Courses (Game, Web & GUI Development)
This tutorial is designed for beginners and intermediate Python developers who want to visualize data in a modern, interactive, and professional way. No prior experience with Plotly is required — we build everything together from scratch.
By the end of this video, you will be able to:
🔸 Create interactive charts using Plotly
🔸 Visualize categorical and numerical data
🔸 Work with Pandas and real datasets
🔸 Build dashboard-style visualizations
🔸 Apply data visualization concepts to real projects
If you want to continue learning Python, make sure to check out the Courses section on this channel. You can find many free courses about game development, web development, and GUI development.
✔️ Free Courses:
/ @turtlecode
✔️ Join Channel:
/ @turtlecode
If you found this video helpful, please consider subscribing to the channel, liking the video, and joining the YouTube membership to support us.
Keep learning, keep coding, and enjoy your Python journey 🚀
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