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Model Perspective
Model Perspective
Jul 30, 2022 · Artificial Intelligence

How Decision Trees Predict House Locations: From Intuition to Overfitting

This article explains machine learning fundamentals using a house‑location classification example, illustrating how decision trees create split points from features like elevation and price, grow recursively, achieve high training accuracy, and reveal overfitting when evaluated on unseen test data.

Data visualizationartificial intelligenceclassification
0 likes · 11 min read
How Decision Trees Predict House Locations: From Intuition to Overfitting
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jul 26, 2022 · Artificial Intelligence

How Sugar BI Merges AI, Big Data, and Zero‑Code Design for Smarter Visual Analytics

This article details Sugar BI’s end‑to‑end technical architecture, covering its AI‑enhanced visual analytics, zero‑code report building, multi‑source data integration, smart chart recommendation, and voice interaction, while illustrating the underlying big‑data and cloud components that power the platform.

AIBIData visualization
0 likes · 18 min read
How Sugar BI Merges AI, Big Data, and Zero‑Code Design for Smarter Visual Analytics
政采云技术
政采云技术
Jul 21, 2022 · Fundamentals

Insights and Principles for Designing Data Visualization Dashboards

This article shares practical experiences and foundational concepts for creating data‑visualization dashboards, covering screen types, design principles, characteristics, audience analysis, and the broader role of visualization in turning massive data into actionable insights while enhancing human cognition.

Big DataData visualizationdashboard design
0 likes · 3 min read
Insights and Principles for Designing Data Visualization Dashboards
Alibaba Terminal Technology
Alibaba Terminal Technology
Jul 7, 2022 · Frontend Development

Why Rust Is Revolutionizing Front‑End Infrastructure and Beyond

This article explores Rust's rapid rise in front‑end infrastructure, data visualization, Node, Web3, and automotive software, highlighting its performance, safety, and growing industry adoption while acknowledging its steep learning curve and future importance for developers.

Data visualizationFrontend InfrastructureSafety
0 likes · 11 min read
Why Rust Is Revolutionizing Front‑End Infrastructure and Beyond
Java Architect Essentials
Java Architect Essentials
Jul 2, 2022 · Fundamentals

JSON Hero: A Simple and Powerful JSON Viewer and Editor

JSON Hero is a lightweight web‑based tool that provides multiple visualizations such as column, tree, and raw JSON views, along with editing, searching, and sharing features, and the article explains its purpose, installation steps, usage, and key capabilities.

Data visualizationJSONweb tool
0 likes · 4 min read
JSON Hero: A Simple and Powerful JSON Viewer and Editor
FunTester
FunTester
Jun 29, 2022 · Fundamentals

12 Essential Python Visualization Libraries You Should Know

This article surveys twelve widely used Python visualization libraries, dividing them into exploratory and interactive categories, and explains each library's strengths, typical use cases, and key features to help developers choose the right tool for their data analysis needs.

BokehData visualizationMatplotlib
0 likes · 10 min read
12 Essential Python Visualization Libraries You Should Know
政采云技术
政采云技术
Jun 28, 2022 · Frontend Development

Frontend Data Collection and Monitoring: Implementation and Evolution

This article explores frontend data collection and monitoring systems, covering why they are needed, what they can achieve, existing implementation schemes, and future evolution directions including performance data reporting and interface data monitoring.

Data visualizationException MonitoringPerformance Tracking
0 likes · 9 min read
Frontend Data Collection and Monitoring: Implementation and Evolution
Python Programming Learning Circle
Python Programming Learning Circle
Jun 24, 2022 · Fundamentals

Python Data Visualization: Step-by-Step Guide Using Matplotlib, Seaborn, and Pandas

This article outlines a three-step approach to Python data visualization—defining the problem and selecting a chart type, transforming data and applying appropriate functions, and fine-tuning parameters—while introducing key libraries such as Matplotlib, Seaborn, Bokeh, and Pandas with code examples.

Data visualizationMatplotlibPython
0 likes · 11 min read
Python Data Visualization: Step-by-Step Guide Using Matplotlib, Seaborn, and Pandas
Dada Group Technology
Dada Group Technology
Jun 20, 2022 · Information Security

Design and Implementation of JD Daojia Security Operations Center (SOC) Platform

This article details the challenges, design choices, deployment steps, detection model creation, data processing, visualization, and future plans of JD Daojia's security operations platform, highlighting the use of Graylog, Elasticsearch, and MongoDB to achieve scalable, real‑time threat detection and response.

Data visualizationGraylogSOC
0 likes · 16 min read
Design and Implementation of JD Daojia Security Operations Center (SOC) Platform
Model Perspective
Model Perspective
Jun 16, 2022 · Fundamentals

Solve the Village Water Pipe Layout with NetworkX Minimum Spanning Tree

This guide demonstrates how to model a ten‑village water‑pipe network as a weighted graph, import the distance matrix into pandas, construct the graph with NetworkX, compute its minimum spanning tree to obtain the shortest connecting pipeline, and visualize the result.

Data visualizationGraph AlgorithmPython
0 likes · 9 min read
Solve the Village Water Pipe Layout with NetworkX Minimum Spanning Tree
Python Programming Learning Circle
Python Programming Learning Circle
Jun 16, 2022 · Fundamentals

Generating PDF Reports with Python ReportLab: Installation, Imports, and Example Code

This tutorial demonstrates how to use Python's ReportLab library to create PDF reports, covering installation, module imports, font registration, and a Graphs class with static methods for titles, paragraphs, tables, bar charts, and images, culminating in a complete script that assembles and builds the PDF.

Data visualizationPythonReportLab
0 likes · 9 min read
Generating PDF Reports with Python ReportLab: Installation, Imports, and Example Code
Laravel Tech Community
Laravel Tech Community
Jun 15, 2022 · Frontend Development

Apache ECharts 5.3.3 Release: New Features and Bug Fixes

Apache ECharts 5.3.3 has been released, introducing new stacking strategies for bar charts, tree focus support, boolean selectedMode for visualMap, and a series of bug fixes across line, tree, graph, radar, geo, tooltip, dataZoom, markLine, markArea, axis, graphic, decal, radialGradient, and type definitions.

Data visualizationEChartsJavaScript
0 likes · 4 min read
Apache ECharts 5.3.3 Release: New Features and Bug Fixes
Model Perspective
Model Perspective
Jun 10, 2022 · Fundamentals

Exploring 1D Interpolation with SciPy: Linear, Nearest, Cubic & More

This article introduces the concept of interpolation for discrete data, demonstrates how to use SciPy's interp1d function with various methods (linear, nearest, nearest‑up, zero, quadratic, cubic), visualizes the resulting curves alongside the original points, and provides complete Python code for reproducing the plots.

Data visualizationinterpolationscipy
0 likes · 5 min read
Exploring 1D Interpolation with SciPy: Linear, Nearest, Cubic & More
Python Programming Learning Circle
Python Programming Learning Circle
Jun 7, 2022 · Big Data

Getting Started with Kibana: Installation, Configuration, and Usage Guide

This article provides a comprehensive guide to Kibana, an open‑source data analysis and visualization platform for Elasticsearch, covering its installation, configuration, index pattern setup, data discovery, query syntax, visualization creation, dashboard building, and monitoring, with step‑by‑step instructions and screenshots.

Data visualizationElasticsearchKibana
0 likes · 11 min read
Getting Started with Kibana: Installation, Configuration, and Usage Guide
FunTester
FunTester
May 29, 2022 · Fundamentals

How to Download and Visualize Kweichow Moutai Stock Data with Python

This guide shows how to download historical Kweichow Moutai stock data from NetEase Finance as a CSV file, handle encoding issues, and use Python's pandas and matplotlib libraries to filter the data and create both volume and OHLC line charts for a selected month.

CSVData visualizationMatplotlib
0 likes · 6 min read
How to Download and Visualize Kweichow Moutai Stock Data with Python
转转QA
转转QA
May 26, 2022 · Frontend Development

Frontend Refactoring of a Metrics System: Reducing Development Cost with Unified Chart and Table Components

This article describes how a metrics dashboard was refactored by standardizing chart and table data formats, leveraging Ant Design Charts, and building reusable React components such as ChartCardList and RankTable, thereby minimizing front‑end development effort and enabling rapid addition of new visualizations.

Code OptimizationData visualizationReact
0 likes · 7 min read
Frontend Refactoring of a Metrics System: Reducing Development Cost with Unified Chart and Table Components
Liangxu Linux
Liangxu Linux
May 23, 2022 · Big Data

Master Kibana: From Installation to Advanced Data Visualization

This guide walks you through installing Kibana, configuring its connection to Elasticsearch, exploring data with Discover, crafting queries using Lucene and DSL, creating visualizations and dashboards, and monitoring cluster health, providing step‑by‑step instructions, screenshots, and practical tips for effective data analysis.

DashboardData visualizationElasticsearch
0 likes · 13 min read
Master Kibana: From Installation to Advanced Data Visualization
Programmer DD
Programmer DD
May 9, 2022 · Frontend Development

Run Python Directly in Your Browser with PyScript: Quick Hands‑On Guide

This article introduces PyScript, a framework that lets you embed and run Python code inside standard HTML, walks through a simple Hello World example and a data‑visualization demo, and shares practical insights on its current capabilities and limitations.

Data visualizationHTMLPyScript
0 likes · 8 min read
Run Python Directly in Your Browser with PyScript: Quick Hands‑On Guide
Model Perspective
Model Perspective
May 8, 2022 · Fundamentals

Why Interpreting Modeling Results Is Crucial for Impactful Research

The article explains why properly interpreting modeling results is essential, covering reader comprehension, the role of visualizations, guiding key insights, and how explanation fosters reflection and improves the overall significance of the research.

Data visualizationModelingcritical thinking
0 likes · 4 min read
Why Interpreting Modeling Results Is Crucial for Impactful Research
IT Services Circle
IT Services Circle
Apr 29, 2022 · Fundamentals

A Curated List of Useful JSON Tools for Developers

This article introduces several open‑source JSON utilities—including visualization, command‑line manipulation, data querying, online storage, and dynamic form generation—explaining their features, typical use cases, and providing direct GitHub links for developers seeking practical JSON solutions.

Data QueryData visualizationcommand-line tools
0 likes · 5 min read
A Curated List of Useful JSON Tools for Developers
DevOps
DevOps
Apr 24, 2022 · R&D Management

Creative Ways to Use Metrics in Agile Development

This article explores various innovative metric visualizations and practices for agile teams, distinguishing process and value metrics, emphasizing accurate data collection, and offering numerous chart examples to deepen insight and drive continuous improvement.

Data visualizationagile
0 likes · 6 min read
Creative Ways to Use Metrics in Agile Development
Python Programming Learning Circle
Python Programming Learning Circle
Apr 23, 2022 · Fundamentals

Comprehensive Guide to Data Visualization Chart Types and Tools

This article provides an extensive overview of over 60 data visualization chart types—including bar, line, pie, heatmap, and specialized maps—explaining their purposes, advantages, drawbacks, and recommending popular tools such as D3, Tableau, Excel, and many open‑source libraries for creating each chart.

Data visualizationchart typesgraph tools
0 likes · 24 min read
Comprehensive Guide to Data Visualization Chart Types and Tools
Code DAO
Code DAO
Apr 23, 2022 · Fundamentals

Visualizing Invisible SO₂ After the Tonga Eruption with NASA Data and Python

This tutorial shows how to download NASA GES DISC SO₂ data for the 2022 Hunga Tonga–Hunga Ha'apai eruption, extract relevant fields with H5py, build a Pandas DataFrame, and create both scatter‑plot and time‑varying heat‑map visualizations using Matplotlib, Seaborn and Folium.

Data visualizationFoliumH5py
0 likes · 14 min read
Visualizing Invisible SO₂ After the Tonga Eruption with NASA Data and Python
IT Services Circle
IT Services Circle
Mar 13, 2022 · Fundamentals

Using Folium for Interactive Map Visualization in Python

This article introduces the Python library Folium, explains its installation, demonstrates basic map creation, marker and shape addition, and presents a practical case of visualizing parking lot geolocation data with interactive features and clustering, providing code snippets and usage guidance.

Data visualizationFoliumMapping
0 likes · 12 min read
Using Folium for Interactive Map Visualization in Python
IT Services Circle
IT Services Circle
Mar 11, 2022 · Fundamentals

Comprehensive Guide to Plotnine: Installation, Data, Aesthetics, Geoms, Stats, Scales, Positions, Coordinates, Facets, and Themes

This article provides a detailed tutorial on plotnine, the Python implementation of the Grammar of Graphics, covering installation methods, data handling, aesthetic mappings, geometric objects, statistical transformations, scales, position adjustments, coordinate systems, faceting, themes, and multi‑panel plotting with code examples.

Data visualizationGrammar of GraphicsPython
0 likes · 8 min read
Comprehensive Guide to Plotnine: Installation, Data, Aesthetics, Geoms, Stats, Scales, Positions, Coordinates, Facets, and Themes
ByteDance Data Platform
ByteDance Data Platform
Feb 18, 2022 · Frontend Development

How ByteDance’s Front‑End Team Built High‑Performance Shape Word Clouds

ByteDance’s data platform front‑end team surveyed academic, commercial, and open‑source word‑cloud solutions, identified gaps in geo‑ and shape‑based clouds, and engineered a performant front‑end layout algorithm that generates customizable shape word clouds for diverse business scenarios.

Data visualizationalgorithmshape cloud
0 likes · 11 min read
How ByteDance’s Front‑End Team Built High‑Performance Shape Word Clouds
DataFunSummit
DataFunSummit
Feb 7, 2022 · Artificial Intelligence

Financial Risk Control: Full Process, Data & Technology Requirements, and Visual Analytics Cases

This presentation explains the fundamentals of financial risk control, outlines the data and AI technologies needed across the pre‑loan, in‑loan, and post‑loan stages, and showcases visual‑analytics and federated‑learning case studies that improve model interpretability, monitoring, and enterprise risk management.

AIData visualizationfinancial risk control
0 likes · 22 min read
Financial Risk Control: Full Process, Data & Technology Requirements, and Visual Analytics Cases
IT Services Circle
IT Services Circle
Feb 5, 2022 · Big Data

DataEase: Open‑Source Data Visualization Tool Based on SpringBoot, Apache Doris, and Kettle – Installation and Usage Guide

This article introduces DataEase, an open‑source BI platform built with SpringBoot, Apache Doris, and Kettle, explains its system and functional architecture, provides step‑by‑step installation commands and configuration details, and demonstrates how to create datasets, views, and dashboards for data analysis.

Apache DorisBIData visualization
0 likes · 11 min read
DataEase: Open‑Source Data Visualization Tool Based on SpringBoot, Apache Doris, and Kettle – Installation and Usage Guide
MaGe Linux Operations
MaGe Linux Operations
Feb 3, 2022 · Fundamentals

Create Stunning Images with Just 10 Lines of NumPy Code

Learn how to generate grayscale, random color, gradient, and custom visualizations using only NumPy (and optional Matplotlib ColorMaps) with concise Python code, covering array creation, image conversion, pixel manipulation, and advanced colormap techniques for powerful data art.

ColorMapData visualizationNumPy
0 likes · 12 min read
Create Stunning Images with Just 10 Lines of NumPy Code
MaGe Linux Operations
MaGe Linux Operations
Jan 17, 2022 · Frontend Development

Create Interactive Maps with pyecharts: A Step‑by‑Step Python Guide

This tutorial introduces pyecharts, the Python wrapper for Baidu's Echarts library, explains how it generates a render.html file, and provides complete code examples for drawing various map visualizations—including basic maps, maps without labels, visual‑mapped maps, world maps, and regional maps—while also showing how to replace the dummy data with your own dataset.

Data visualizationEChartsPyecharts
0 likes · 4 min read
Create Interactive Maps with pyecharts: A Step‑by‑Step Python Guide
Xueersi Online School Tech Team
Xueersi Online School Tech Team
Jan 14, 2022 · Frontend Development

Understanding ZRender: Canvas Rendering, API Usage, and Custom Element Development

This article introduces the ZRender canvas rendering engine, explains its underlying Canvas2D API, demonstrates how to integrate ZRender into projects, and provides detailed code examples for creating shapes, handling events, adding animations, and extending the library with custom elements such as video support.

CanvasData visualizationJavaScript
0 likes · 54 min read
Understanding ZRender: Canvas Rendering, API Usage, and Custom Element Development
macrozheng
macrozheng
Jan 11, 2022 · Big Data

Deploy Metabase in 5 Minutes and Master Its Data Visualization Features

Metabase is a fast, open‑source BI tool that can be set up in about five minutes using Docker, offering a user‑friendly interface for creating dashboards, custom SQL queries, data pivots, and multi‑table analysis without requiring deep SQL knowledge, making data visualization accessible to all.

BIData visualizationDocker
0 likes · 11 min read
Deploy Metabase in 5 Minutes and Master Its Data Visualization Features
Python Programming Learning Circle
Python Programming Learning Circle
Jan 6, 2022 · Fundamentals

Creating Donut (Ring) Plots with Matplotlib in Python

This tutorial explains how to generate donut (ring) charts using Python's Matplotlib library, covering basic pie‑to‑donut conversion, custom colors, label positioning, background styling, annotation markers, and multi‑level donut visualizations with complete code examples.

Data visualizationDonut PlotMatplotlib
0 likes · 11 min read
Creating Donut (Ring) Plots with Matplotlib in Python
DataFunSummit
DataFunSummit
Dec 30, 2021 · Fundamentals

An Introduction to Data Visualization: History, Importance, and Best Practices

This article explores the origins of data visualization from John Snow's cholera map, explains why visual representation is essential for decision‑making in the big‑data era, outlines its historical development, and provides practical guidelines and checklists for creating effective visual analytics.

Data visualizationbest practiceshistory
0 likes · 17 min read
An Introduction to Data Visualization: History, Importance, and Best Practices
macrozheng
macrozheng
Dec 30, 2021 · Big Data

How to Install and Use DataEase: Open‑Source BI with Apache Doris and Docker

This guide walks you through installing the open‑source BI platform DataEase, explains its architecture built on SpringBoot, Apache Doris, and Kettle, and demonstrates how to create data sources, datasets, and visual dashboards from Excel and MySQL using Docker containers.

Apache DorisBIData visualization
0 likes · 12 min read
How to Install and Use DataEase: Open‑Source BI with Apache Doris and Docker
Python Crawling & Data Mining
Python Crawling & Data Mining
Dec 23, 2021 · Big Data

How to Analyze 10 Years of Chinese Earthquake Data with Python

This tutorial walks you through downloading the past decade of Chinese earthquake records, cleaning and enriching the dataset with coordinate conversion, timestamp parsing, and location extraction, and then visualizing statistics and maps—including province counts, city heatmaps, and dynamic monthly distributions—using Python, pandas, and Folium.

Data visualizationEarthquake DataFolium
0 likes · 11 min read
How to Analyze 10 Years of Chinese Earthquake Data with Python
Python Crawling & Data Mining
Python Crawling & Data Mining
Dec 21, 2021 · Frontend Development

How to Build Interactive Machine‑Learning Web Apps with Streamlit: A Complete Guide

This tutorial explains how to install Streamlit, use its text, data, chart, and input components, manage layout, control flow, and caching, and demonstrates a full garbage‑classification web app that integrates a third‑party image‑recognition API, providing complete Python code examples.

Data visualizationStreamlitinteractive UI
0 likes · 15 min read
How to Build Interactive Machine‑Learning Web Apps with Streamlit: A Complete Guide
Python Crawling & Data Mining
Python Crawling & Data Mining
Dec 20, 2021 · Fundamentals

What Weibo Comments Reveal About Wang Leehom’s Divorce: A Python Data Dive

This article walks through using Python to scrape Wang Leehom’s divorce‑related Weibo comments, clean the noisy dataset, visualize hourly comment trends, compare with his ex‑wife’s posts, generate word‑clouds and emoji frequency charts, and provides full code and data for reproducible analysis.

Data visualizationEmoji AnalysisWeb Scraping
0 likes · 10 min read
What Weibo Comments Reveal About Wang Leehom’s Divorce: A Python Data Dive
Python Programming Learning Circle
Python Programming Learning Circle
Dec 15, 2021 · Frontend Development

Using pyecharts to Create Various Map Visualizations in Python

This tutorial introduces the Python pyecharts library for creating various map visualizations with Echarts, explains how the code generates HTML files, and provides complete example functions for basic, label‑less, continuous and piecewise visual maps, world and regional maps, plus guidance for using real data.

Data visualizationPyechartsPython
0 likes · 5 min read
Using pyecharts to Create Various Map Visualizations in Python
Python Programming Learning Circle
Python Programming Learning Circle
Nov 25, 2021 · Big Data

Analyzing and Visualizing Maoyan Movie Reviews for “Chinese Doctors” Using Python

This tutorial demonstrates how to crawl approximately 40,000 Maoyan movie reviews for the film “Chinese Doctors,” preprocess the data, and create visualizations such as rating pie charts, city distribution maps, top‑viewer bar charts, and a word cloud using Python libraries like requests, pyecharts, and wordcloud.

Data visualizationMovie ReviewsPython
0 likes · 12 min read
Analyzing and Visualizing Maoyan Movie Reviews for “Chinese Doctors” Using Python
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Nov 22, 2021 · Frontend Development

Mastering Canvas Data Visualization: From Basics to Interactive Charts

This tutorial explains what data visualization is, why it matters, common front‑end visualization libraries, and provides step‑by‑step guidance on drawing lines and curves with Canvas—including segment generation, Bézier and B‑spline curves, animation techniques, and interaction (picking) methods—so developers can build interactive charts efficiently.

Bezier CurveData visualizationInteractive Charts
0 likes · 21 min read
Mastering Canvas Data Visualization: From Basics to Interactive Charts
JD.com Experience Design Center
JD.com Experience Design Center
Nov 5, 2021 · Frontend Development

Reimagining Data Flow Visualization: A Card‑Based Alternative to Sankey Diagrams

This article examines the limitations of traditional Sankey diagrams for visualizing entity state transitions and proposes a card‑based data flow visualization that offers customizable start/end states, improved readability for disparate data scales, and enhanced user experience through interactive layouts and clear styling.

Data visualizationSankey diagramUI design
0 likes · 11 min read
Reimagining Data Flow Visualization: A Card‑Based Alternative to Sankey Diagrams
Python Crawling & Data Mining
Python Crawling & Data Mining
Nov 2, 2021 · Backend Development

How to Scrape Global Electricity Capacity Data with Python and Visualize It

Learn step-by-step how to collect worldwide electricity generation data from the IEA using Python's requests and pandas, extract country names, retrieve historical consumption figures, and turn the results into animated visualizations with online tools, while avoiding manual entry and ensuring reproducible analysis.

Data visualizationElectricityIEA
0 likes · 5 min read
How to Scrape Global Electricity Capacity Data with Python and Visualize It
JD.com Experience Design Center
JD.com Experience Design Center
Oct 26, 2021 · Fundamentals

Mastering Data Visualization Dashboards: Design Principles for Large Screens

This article provides a comprehensive overview of data visualization large screens, covering their purpose, classification, design styles, device considerations, layout strategies, adaptive techniques, chart selection, visual appeal, and interaction guidelines to help designers create effective and engaging dashboard experiences.

Data visualizationUI/UXdashboard design
0 likes · 19 min read
Mastering Data Visualization Dashboards: Design Principles for Large Screens
Python Crawling & Data Mining
Python Crawling & Data Mining
Oct 11, 2021 · Backend Development

How to Scrape and Analyze 46k Rental Listings with Python: From Crawling to Visual Insights

Learn step‑by‑step how to crawl 46,000+ rental listings from Ziroom using Python, extract house details with regex, clean and transform the data with pandas, and visualize distribution, pricing and location insights through pyecharts, matplotlib and seaborn, revealing rental market patterns in Beijing.

Data visualizationPyechartsWeb Scraping
0 likes · 24 min read
How to Scrape and Analyze 46k Rental Listings with Python: From Crawling to Visual Insights
Python Programming Learning Circle
Python Programming Learning Circle
Sep 19, 2021 · Big Data

Visualizing Historical National Games Medal Rankings with Python

This tutorial demonstrates how to collect, clean, and visualize historical Chinese National Games medal data using Python, covering data extraction with regular expressions, organization into pandas DataFrames, and creating both static line charts with Matplotlib and interactive charts with PyEcharts, complete with code snippets and practical tips.

Data visualizationJupyter NotebookMatplotlib
0 likes · 6 min read
Visualizing Historical National Games Medal Rankings with Python
MaGe Linux Operations
MaGe Linux Operations
Sep 13, 2021 · Frontend Development

Create Stunning 2D Maps and a Rotating Globe with pyecharts

This tutorial demonstrates how to use the powerful pyecharts library to generate eye‑catching 2D maps, a province‑level map of Guizhou, and a rotating globe, all rendered as interactive HTML pages that can be viewed in a browser.

Data visualizationPyechartsfrontend
0 likes · 2 min read
Create Stunning 2D Maps and a Rotating Globe with pyecharts
Python Programming Learning Circle
Python Programming Learning Circle
Sep 3, 2021 · Fundamentals

A Practical Guide to Matplotlib: High‑Quality 2D/3D Plots and Advanced Styling in Python

This article introduces Matplotlib as a versatile, open‑source Python plotting library, showcasing its 2D and 3D capabilities, various chart types, color‑customization options, LaTeX support, and integration with tools like Seaborn, while also providing installation tips and concise code examples.

Data visualizationMatplotlibSeaborn
0 likes · 5 min read
A Practical Guide to Matplotlib: High‑Quality 2D/3D Plots and Advanced Styling in Python
Architects Research Society
Architects Research Society
Aug 31, 2021 · Fundamentals

Apache Superset – Overview and Supported Databases

Apache Superset is a modern, enterprise‑ready open‑source business intelligence web application that offers rich data visualizations, an easy‑to‑use interface, dashboard sharing, robust security, a semantic layer, and integration with a wide range of relational and analytical databases.

Apache SupersetBusiness IntelligenceData visualization
0 likes · 5 min read
Apache Superset – Overview and Supported Databases
Python Crawling & Data Mining
Python Crawling & Data Mining
Aug 26, 2021 · Fundamentals

Transform Raw Taobao Data into Stunning Interactive Charts with Python

This article walks you through cleaning messy Taobao product data using pandas and jieba, then visualizing ingredient and shelf‑life information with interactive Pyecharts charts—including pie, bar, table, funnel, and polar graphs—while showing how to combine multiple charts into a single draggable HTML page.

Data visualizationWeb Scraping
0 likes · 14 min read
Transform Raw Taobao Data into Stunning Interactive Charts with Python
Python Crawling & Data Mining
Python Crawling & Data Mining
Aug 6, 2021 · Fundamentals

Visualizing China’s Olympic Medal History with Python and Plotly

This tutorial walks through collecting China’s Olympic medal data from 1984 to 2016, reshaping it into wide and long tables, and creating a series of interactive visualizations—including line charts, scatter plots, radar charts, and sunburst diagrams—using Python's pandas and Plotly libraries.

Data visualizationOlympic Dataplotly
0 likes · 11 min read
Visualizing China’s Olympic Medal History with Python and Plotly
Python Programming Learning Circle
Python Programming Learning Circle
Jul 31, 2021 · Fundamentals

Using Plotly and Cufflinks for Powerful Interactive Data Visualizations in Python

This article introduces the open‑source Plotly library (with Cufflinks) for Python, explains how to install it, and demonstrates with concise code examples how to create a wide range of interactive charts—including bar, box, scatter, time‑series, 3D, and custom‑themed visualizations—directly in Jupyter notebooks.

CufflinksData visualizationInteractive Charts
0 likes · 8 min read
Using Plotly and Cufflinks for Powerful Interactive Data Visualizations in Python
Baidu MEUX
Baidu MEUX
Jul 27, 2021 · Product Management

How to Design Efficient B‑End Tables: Balancing Density, Scanability, and Simplicity

This article explores practical guidelines for B‑end table design, covering optimal row height and column width, flexible horizontal space, efficient scanning techniques, and concise presentation strategies to create tables that are dense enough for information yet easy to read and interact with.

B‑endData visualizationTable Design
0 likes · 13 min read
How to Design Efficient B‑End Tables: Balancing Density, Scanability, and Simplicity
Python Programming Learning Circle
Python Programming Learning Circle
Jul 26, 2021 · Fundamentals

Step-by-Step Guide to Data Analysis with Python: Import, Clean, Visualize, and Merge Using Pandas

This tutorial walks data analysts through setting up a Python environment with Jupyter and Anaconda, importing diverse datasets via Pandas, cleaning and reshaping data, performing calculations, filtering, visualizing results, and finally merging and grouping data to produce insightful analyses comparable to SQL and Excel workflows.

Data visualizationExcelJupyter Notebook
0 likes · 12 min read
Step-by-Step Guide to Data Analysis with Python: Import, Clean, Visualize, and Merge Using Pandas
Airbnb Technology Team
Airbnb Technology Team
Jul 16, 2021 · Frontend Development

How Airbnb’s visx Turns React into a Powerful Visualization Engine

The article explains how Airbnb’s visx library, built on React and D3 primitives, addresses the need for a lightweight, highly expressive, and performant front‑end visualization solution by offering modular packages, TypeScript safety, and seamless integration with existing React codebases.

Data visualizationReactTypeScript
0 likes · 11 min read
How Airbnb’s visx Turns React into a Powerful Visualization Engine
Python Programming Learning Circle
Python Programming Learning Circle
Jul 13, 2021 · Fundamentals

Review of Python Visualization Packages: Matplotlib, Seaborn, Pandas, ggplot, Bokeh, Plotly, Pygal, and NetworkX

This article surveys eight popular Python visualization libraries—Matplotlib, Seaborn, Pandas, ggplot, Bokeh, Plotly, Pygal, and NetworkX—explaining their strengths, weaknesses, typical use‑cases, and providing concrete code examples to help readers choose the right tool for exploratory analysis or presentation.

Data visualizationMatplotlibSeaborn
0 likes · 12 min read
Review of Python Visualization Packages: Matplotlib, Seaborn, Pandas, ggplot, Bokeh, Plotly, Pygal, and NetworkX
Python Crawling & Data Mining
Python Crawling & Data Mining
Jun 25, 2021 · Backend Development

How to Scrape NBA Player Stats from Hupu and Auto‑Generate Excel Charts with Python

This guide walks you through building a Python web‑scraper that extracts NBA player information from the Hupu website, cleans and visualizes the data, and automatically creates Excel files with embedded line charts, covering URL navigation, data parsing with requests and BeautifulSoup, and chart generation with xlsxwriter.

Data visualizationNBAPython
0 likes · 10 min read
How to Scrape NBA Player Stats from Hupu and Auto‑Generate Excel Charts with Python
Python Programming Learning Circle
Python Programming Learning Circle
Jun 22, 2021 · Artificial Intelligence

Introducing Streamlit: A Python Framework for Building Machine Learning Apps

This article explains how Streamlit, a free open‑source Python framework, simplifies the creation of interactive machine‑learning applications by letting developers write pure Python scripts that automatically rerun on each interaction, cache results, and integrate seamlessly with existing tools and workflows.

App DevelopmentData visualizationStreamlit
0 likes · 8 min read
Introducing Streamlit: A Python Framework for Building Machine Learning Apps
Didi Tech
Didi Tech
Jun 11, 2021 · Frontend Development

Design and Implementation of a Real-Time Data Visualization Large Screen Using WebGL and a Custom Map Framework

The article details DiDi’s development of a real‑time, large‑screen data‑visualization system built on a custom WebGL‑based map framework, describing how they tackled one‑time map loading, massive data compression, and high‑performance rendering of trajectories, bubbles, heatmaps, flight lines and animated scatter points, supported by interactive debugging tools.

Data visualizationPerformance OptimizationThree.js
0 likes · 27 min read
Design and Implementation of a Real-Time Data Visualization Large Screen Using WebGL and a Custom Map Framework
Java Backend Technology
Java Backend Technology
May 20, 2021 · Frontend Development

How to Build Stunning Big‑Screen Dashboards with FineReport: A Step‑by‑Step Guide

This article walks you through creating impressive big‑screen visual dashboards using FineReport, covering tool selection, data preparation, decision‑report setup, dataset creation, layout design, visual polishing, dynamic effects, and final preview to help you deliver compelling data visualizations efficiently.

Big ScreenDashboardData visualization
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How to Build Stunning Big‑Screen Dashboards with FineReport: A Step‑by‑Step Guide