This guide explains ten common chart types—bar, line, area, numeric box, scatter, pie, tree, geographic map, table, and funnel—detailing their definitions, ideal use cases, related alternatives, and concrete best‑practice recommendations to help you choose the right visualization for your data story.
This article demonstrates how to use a PHP interface to retrieve data from a MySQL database and employ the ECharts library to create dynamic visual statistical charts, guiding developers through preparation, data extraction, and chart generation steps, including code examples for a bar chart.
This tutorial demonstrates how to use Python's Matplotlib library to generate single and multi‑bar charts, customize axis labels, adjust font size and rotation, and resolve common display issues by loading styles and Chinese fonts, providing complete code examples for reproducible visualizations.
Learn how to use Plotly in Python to build flexible subplot layouts combining bar, pie, and polar charts, with step-by-step code examples, troubleshooting tips, and best practices for arranging multiple visualizations on a single page.
This tutorial explains how to use the Python Bokeh library to create interactive scatter, bar, and multi‑panel visualizations, covering installation, figure configuration, hover tooltips, data sources, color mapping, looping over categories, and linking plots with shared ranges.
This tutorial demonstrates how to install Plotly, import necessary modules, and create various visualizations—including scatter, bar, histogram, pie, 3D, and density map charts—using both the graph_objects and express APIs with sample CSV data and code snippets.
This article explains how to select the most precise and engaging visual representation for your data—covering bar, line, pie, pictogram, and typographic designs—while highlighting common pitfalls and offering concrete tips to maintain credibility and audience trust.
This article walks through installing pyecharts, explains its version differences, and demonstrates a series of bar‑chart techniques—including basic charts, axis labeling, multiple series, styling, horizontal orientation, mark lines/points, label rotation, and interactive zoom—complete with code snippets and visual examples.
