Python Day 201: Creating Bar Charts with Plotly
7 October 2026·8 min
Watch on YouTubeAbout this video
Welcome to Day 201 of The Complete Python Bootcamp.
In this session, you will explore how to create bar charts using Plotly. Bar charts are one of the most widely used forms of data visualisation and provide a simple, effective way to compare values across different categories.
Whether you're comparing sales across products, customers across locations or transactions across different groups, bar charts make differences between categories easy to identify. With Plotly, you can take these visualisations further by adding interactive features and customising how your data is presented.
Today, you will learn how to build bar charts from your data, configure the information displayed and customise your visualisations to communicate patterns and insights more effectively.
By the end of this lesson, you will be able to create clear, interactive and professional bar charts using Plotly and apply them to real-world data analysis and dashboard projects.
✅ What You Will Learn
• How to create bar charts using Plotly
• How to map categorical and numerical data to a chart
• How to customise the appearance of your bar charts
• How to add useful labels and information to visualisations
• How to use interactivity to explore chart data
• How bar charts can communicate comparisons and patterns effectively
🌍 Why This Topic Matters
Learning how to create effective bar charts helps you:
• Compare categories quickly and clearly
• Identify differences and patterns within datasets
• Communicate analytical findings more effectively
• Build professional visualisations for reports and dashboards
• Turn database information into meaningful visual insights
Bar charts are used extensively across business intelligence, finance, analytics and reporting because they make categorical comparisons easy to understand. Knowing how to create them effectively is an essential part of developing strong data visualisation skills.
🎯 Who This Lesson Is For
• Beginners learning Plotly and data visualisation
• Python learners wanting to create interactive charts
• Data analysts working with categorical data
• Anyone building reports and interactive dashboards
• Viewers progressing through the Plotly and Dash section of the Python Bootcamp
🔥 Turn Categories into Clear Visual Insights
A good bar chart does more than display numbers. It allows users to quickly compare categories, identify differences and understand which areas of a dataset deserve further attention.
By mastering bar charts in Plotly, you'll add one of the most versatile visualisation techniques to your Python toolkit and be ready to incorporate clear, interactive comparisons into your future dashboards.
👉 Subscribe so you do not miss the next session
👉 Comment what type of data you'd like to compare using a Plotly bar chart
👉 Share this video with someone learning Python
🔎 Keywords
plotly bar chart python, python bar chart tutorial, plotly express bar chart, python data visualisation, interactive bar chart python, plotly charts tutorial, python data analysis, plotly express tutorial, python dashboard charts, bar graph python
plotly bar chartpython bar chartpython plotlyplotly expressplotly tutorialpython data visualisationinteractive chartspython data analysispython dashboardpython bootcamp
Get the next one in your inbox
A weekly note across Finance & Treasury, Innovation & Automation and Career Development. No spam, unsubscribe any time.