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Create Stunning Interactive Dashboards with Python and Dash | Gapminder Dataset Tutorial
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Learn how to create stunning interactive visualizations in Python using the Dash framework and the Gapminder dataset! In this beginner-friendly tutorial, I’ll guide you step-by-step to build a dynamic dashboard featuring dropdowns, sliders, and interactive charts.
This is a great project for beginner Python learners.
Explore how to filter data by continent, adjust population thresholds, and visualize life expectancy vs. GDP with an engaging scatter plot. Perfect for Python enthusiasts and data visualization learners!
*Don't forget to like, comment, and subscribe for more Python tutorials on data visualization and interactive dashboards.*
*Ways To Support My Channel: Buy Me A Coffee:*
*Continue your learning with Python:*
Great Books for Mastering Data Science and Data Cleaning:
*How to download Jupyter Notebook to use Python:*
*How to upload a CSV file to Jupyter Notebook:*
⏳ Timestamps ⏳
00:00 Intro
00:47 What is the Dash Library? Explained
01:15 A list of 5 things you will learn.
02:10 Jumping into Jupyter Notebook to create a new workbook & rename the new workbook.
03:08 Create a title for each step in larger text (1 to 7).
05:18 Step 1: Install required libraries (packages for Python).
06:00 Step 2: Import libraries
07:35 Step 3: Load the dataset from a URL for the Gapminder dataset.
11:20 Viewing the dataset in Python
11:55 Step 4: Create a Dash App.
13:25 Step 5: Build the Dashboard layout
19:45 Step 6: Add interactivity.
24:29 Step 7: Run the app.
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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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#datacleaning #pythontutorials #jupyternotebook #datapreprocessing #datavisualization #datascience #stepbystepguide
This is a great project for beginner Python learners.
Explore how to filter data by continent, adjust population thresholds, and visualize life expectancy vs. GDP with an engaging scatter plot. Perfect for Python enthusiasts and data visualization learners!
*Don't forget to like, comment, and subscribe for more Python tutorials on data visualization and interactive dashboards.*
*Ways To Support My Channel: Buy Me A Coffee:*
*Continue your learning with Python:*
Great Books for Mastering Data Science and Data Cleaning:
*How to download Jupyter Notebook to use Python:*
*How to upload a CSV file to Jupyter Notebook:*
⏳ Timestamps ⏳
00:00 Intro
00:47 What is the Dash Library? Explained
01:15 A list of 5 things you will learn.
02:10 Jumping into Jupyter Notebook to create a new workbook & rename the new workbook.
03:08 Create a title for each step in larger text (1 to 7).
05:18 Step 1: Install required libraries (packages for Python).
06:00 Step 2: Import libraries
07:35 Step 3: Load the dataset from a URL for the Gapminder dataset.
11:20 Viewing the dataset in Python
11:55 Step 4: Create a Dash App.
13:25 Step 5: Build the Dashboard layout
19:45 Step 6: Add interactivity.
24:29 Step 7: Run the app.
--------------------------------------------------------------------------------------------------------------------------------------------------------
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!
--------------------------------------------------------------------------------------------------------------------------------------------------------
#datacleaning #pythontutorials #jupyternotebook #datapreprocessing #datavisualization #datascience #stepbystepguide
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