Plotly Data Visualization Guide: Bar, Scatter, Correlation, and Subplots Explained скачать в хорошем качестве

Plotly Data Visualization Guide: Bar, Scatter, Correlation, and Subplots Explained

Learn Plotly from scratch in this fast-paced, hands-on tutorial! In under 25 minutes, you’ll master everything from basic bar charts and histograms to interactive subplots, customized axes, and annotations. Perfect for data scientists, analysts, and Python enthusiasts looking to bring their visualizations to life with stunning interactivity. Support me: BuyMeACoffee: https://buymeacoffee.com/dsfe Patreon:   / dsfeorg   Ko-fi: https://ko-fi.com/dsfe Follow me: Twitter: https://x.com/dsfeorg Github: https://github.com/dsfeorg Timestamps: 00:00 – Introduction to Plotly 00:25 – Bar plots 01:40 – Structure of a Plotly figure 02:48 – Univariate visualizations 03:07 – Histograms 04:27 – Boxplots 06:43 – Colors in Plotly 08:51 – Bivariate visualizations 09:08 – Scatter plots 10:04 – Adding trendlines to scatter plots 10:24 – Line plots 10:48 – Correlation plots 13:01 – Customize hover details 13:58 – Customize legends 15:02 – Annotations with and without arrows 17:41 – Axes customization 18:49 – Axes transformation 19:01 – Creating subplots 21:18 – Stacked subplots 22:11 – Shared axes in subplots 22:33 – Layering 24:06 – Buttons Datasets Iris: https://github.com/dsfeorg/datasets/b... Stocks: https://github.com/dsfeorg/datasets/b... Weather: https://github.com/dsfeorg/datasets/b... By the end, you’ll be ready to build publication-quality, interactive visualizations right inside Jupyter, Dash apps, or web dashboards. What You’ll Learn: Core Plotly concepts and figure structure How to create various 1D & 2D visualizations Customization tricks for color, layout, axes, and legends Building subplots and interactive dashboards 💡 Don’t forget to like 👍, subscribe 🔔, and comment below with your favorite Plotly feature! #plotly #datavisualization #python #datascience #dataviz #dataanalysis #machinelearning #pythontutorial