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Data Analysis

547 articles · Page 2 of 6
Test Development Learning Exchange
Test Development Learning Exchange
Jan 9, 2025 · Artificial Intelligence

Numerical Computing, Data Analysis, Machine Learning, and Data Visualization with Python Libraries

This article presents practical examples and code snippets for using Python libraries such as NumPy, Pandas, SciPy, Statsmodels, Dask, Vaex, Modin, CuPy, Scikit‑learn, TensorFlow, PyTorch, XGBoost, LightGBM, and various visualization tools to perform efficient numerical computation, data processing, machine‑learning modeling, and interactive visual analytics.

Data AnalysisData VisualizationNumPy
0 likes · 22 min read
Numerical Computing, Data Analysis, Machine Learning, and Data Visualization with Python Libraries
DataFunSummit
DataFunSummit
Jan 7, 2025 · Artificial Intelligence

Tencent OlaChat: Intelligent Data Analysis Platform – Research, Architecture, and Capabilities

This article presents the Tencent PCG OlaChat team's research and practice in intelligent data analysis, covering the DIKW model, evolution of BI platforms, the impact of large language models, challenges of third‑generation data products, detailed product features, agent architecture, system design, and related academic publications.

AgentData AnalysisIntelligent BI
0 likes · 19 min read
Tencent OlaChat: Intelligent Data Analysis Platform – Research, Architecture, and Capabilities
DataFunTalk
DataFunTalk
Dec 28, 2024 · Big Data

Next‑Generation Data Analysis Platform: Integrating Chat BI and Headless BI

This article examines the current challenges of enterprise data analysis platforms, outlines three traditional analysis modes, and presents a next‑generation solution that combines Headless BI’s semantic modeling with Chat BI’s large‑language‑model interaction to deliver a more efficient, secure, and user‑friendly analytics experience.

ChatBIData AnalysisDataGovernance
0 likes · 15 min read
Next‑Generation Data Analysis Platform: Integrating Chat BI and Headless BI
DataFunTalk
DataFunTalk
Dec 27, 2024 · Artificial Intelligence

Designing Enterprise Business Analysis Agents with Large Language Models

This article explains how large‑model capabilities combined with metric and tag platforms can be used to build intelligent data‑analysis products for enterprises, covering challenges, solution routes such as NLP2SQL, NLP2API, NLP2Python, agent design, planning, and future outlooks.

AI agentBusiness IntelligenceData Analysis
0 likes · 21 min read
Designing Enterprise Business Analysis Agents with Large Language Models
Test Development Learning Exchange
Test Development Learning Exchange
Dec 18, 2024 · Fundamentals

How to Import and Export Data in Pandas

This guide explains how to use Pandas to import data from various file formats such as CSV, Excel, JSON, SQL, HTML, HDF5, Pickle, TSV, fixed‑width files and the clipboard, and also demonstrates how to export DataFrames to formats like CSV, Excel, JSON, SQL, HTML, HDF5 and Pickle, providing clear code examples for each operation.

Data AnalysisData ExportPython
0 likes · 10 min read
How to Import and Export Data in Pandas
DataFunSummit
DataFunSummit
Dec 7, 2024 · Artificial Intelligence

Technical Practices of Tencent's Intelligent BI System: Architecture, Model Fine‑Tuning, and Agent Design

This article details Tencent's shift from traditional BI to an AI‑driven intelligent BI platform, describing the challenges of architecture, large‑language‑model integration, and data integration, and presenting the OlaChat framework, unified orchestration, atomic agents, DSL conversion, monitoring, and future roadmap.

AIData AnalysisIntelligent BI
0 likes · 22 min read
Technical Practices of Tencent's Intelligent BI System: Architecture, Model Fine‑Tuning, and Agent Design
DataFunTalk
DataFunTalk
Nov 20, 2024 · Big Data

Data Weaving in Data Analysis and Governance: Challenges, Implementation, and Future Outlook

This article explores the challenges of data analysis and governance, introduces the concept of data weaving and its application in an indicator platform, details key technologies such as data virtualization, intelligent acceleration, and active metadata, and outlines current progress and future plans.

Data AnalysisIntelligent Accelerationactive metadata
0 likes · 28 min read
Data Weaving in Data Analysis and Governance: Challenges, Implementation, and Future Outlook
Test Development Learning Exchange
Test Development Learning Exchange
Nov 19, 2024 · Fundamentals

Advanced Pandas Tutorial: Multi‑Index and apply Method

This tutorial demonstrates how to use Pandas' advanced features, including creating and manipulating multi‑level indexes, selecting data with hierarchical keys, resetting and sorting indexes, and applying custom functions to columns and rows using the apply method, with comprehensive code examples.

Data AnalysisMulti-IndexPython
0 likes · 5 min read
Advanced Pandas Tutorial: Multi‑Index and apply Method
Qunhe Technology Quality Tech
Qunhe Technology Quality Tech
Nov 12, 2024 · Operations

How a Regression Platform Transforms Construction Drawing Testing and Boosts Efficiency

This article details the end‑to‑end workflow of converting 3D design models into 2D construction drawings, explains the platform’s architecture, testing baseline management, automated data collection, regression testing, and visual diff results, and highlights the massive efficiency gains and future automation roadmap.

Data AnalysisPlatform Architectureautomation
0 likes · 10 min read
How a Regression Platform Transforms Construction Drawing Testing and Boosts Efficiency
iKang Technology Team
iKang Technology Team
Nov 12, 2024 · Artificial Intelligence

AI Applications in Medical Imaging for Enhanced Disease Detection

AI-driven medical imaging leverages deep learning and massive datasets to detect lesions—often earlier than human eyes— with high accuracy and speed, reducing fatigue‑related errors and workload, while challenges such as data quality, interpretability, privacy, and regulatory compliance must be addressed for widespread clinical adoption.

AIAI applicationsAI in healthcare
0 likes · 5 min read
AI Applications in Medical Imaging for Enhanced Disease Detection
Test Development Learning Exchange
Test Development Learning Exchange
Nov 10, 2024 · Fundamentals

20 Essential Pandas Data Processing Methods with Code Examples

This article provides a comprehensive overview of 20 essential Pandas data processing methods with detailed code examples covering statistics, data cleaning, transformation, filtering, merging, grouping, sorting, reshaping, aggregation, window functions, time series analysis, conditional selection, indexing, slicing, visualization, type conversion, data filling, filtering, renaming, and import/export operations.

Data AnalysisData VisualizationPython
0 likes · 16 min read
20 Essential Pandas Data Processing Methods with Code Examples
JD Tech
JD Tech
Oct 31, 2024 · Artificial Intelligence

Design and Implementation of the Logistics Intelligent Robot “Yunli XiaoZhi” Powered by Large Language Models

The article details the development of Yunli XiaoZhi, an AI‑driven logistics chatbot that combines knowledge‑base Q&A, data‑analysis, proactive alerts and report‑pushing to streamline SOP access, reduce manual query effort, and improve operational efficiency for operators, carriers and drivers.

AI chatbotData AnalysisRAG
0 likes · 22 min read
Design and Implementation of the Logistics Intelligent Robot “Yunli XiaoZhi” Powered by Large Language Models
Test Development Learning Exchange
Test Development Learning Exchange
Oct 27, 2024 · Fundamentals

Comprehensive Pandas Tutorial: Installation, Core Concepts, Data I/O, Manipulation, and Visualization

This tutorial introduces Pandas, covering installation, core data structures like Series and DataFrame, data input/output, viewing, selection, filtering, sorting, grouping, aggregation, handling missing values, merging, advanced features such as time series and multi‑index, performance tips, and basic visualization techniques.

Data AnalysisData manipulationDataFrame
0 likes · 8 min read
Comprehensive Pandas Tutorial: Installation, Core Concepts, Data I/O, Manipulation, and Visualization
Software Development Quality
Software Development Quality
Oct 7, 2024 · Fundamentals

Unlocking Data Thinking: How to Turn Numbers into Actionable Insights

This article explains the concept of data thinking, its core components of data sensitivity and methodological experience, outlines a step‑by‑step data analysis process, and shows why cultivating this mindset improves decision‑making, communication efficiency, and business opportunity discovery across various domains.

AnalyticsBusiness IntelligenceData Analysis
0 likes · 16 min read
Unlocking Data Thinking: How to Turn Numbers into Actionable Insights
JavaEdge
JavaEdge
Oct 7, 2024 · Big Data

Master Data Analysis: From Collection to Visualization

This guide explains why data analysis is essential, breaks it into three core stages—data collection, data mining, and data visualization—offers practical tool recommendations, and presents principles for efficient learning and skill development.

Data AnalysisData VisualizationPython
0 likes · 10 min read
Master Data Analysis: From Collection to Visualization
Software Development Quality
Software Development Quality
Oct 5, 2024 · Fundamentals

Choosing the Right Data Analysis Tool: Excel, BI, R, Python & More

This guide compares the strengths and weaknesses of common data analysis tools—from basic spreadsheet software and multi‑dimensional tables to professional statistical packages, BI platforms, and programming languages like R and Python—helping readers select the most suitable solution for their needs.

BI ToolsData AnalysisExcel
0 likes · 8 min read
Choosing the Right Data Analysis Tool: Excel, BI, R, Python & More
21CTO
21CTO
Oct 4, 2024 · Fundamentals

7 Must‑Know Open‑Source Python Projects Every Developer Should Explore

Discover seven essential open‑source Python repositories—from data analysis with Pandas and workflow automation with Apache Airflow to AI‑powered G4F, web crawling with Scrapy, Telegram bots via Ultroid, team chat with Zulip, and crypto trading with Freqtrade—each offering powerful capabilities and community support.

Data AnalysisLibrariesPython
0 likes · 4 min read
7 Must‑Know Open‑Source Python Projects Every Developer Should Explore
Programmer1970
Programmer1970
Oct 4, 2024 · Databases

Master MongoDB Aggregation Pipeline: Full Theory and Practical Guide

This article explains MongoDB's aggregation pipeline fundamentals, details each stage and operator, walks through a comprehensive example that calculates product sales, customer averages, and top customers using $group, $sort, $limit, $lookup and $unwind, and outlines common use cases.

Aggregation PipelineData AnalysisMongoDB
0 likes · 10 min read
Master MongoDB Aggregation Pipeline: Full Theory and Practical Guide
JD Cloud Developers
JD Cloud Developers
Sep 30, 2024 · Artificial Intelligence

How a Large‑Model Powered Bot Boosts Logistics Ops with Smart Q&A and Data Insights

This article describes the design, implementation, and impact of a large‑model‑driven logistics chatbot that unifies knowledge Q&A, data analysis, proactive alerts, and report pushing to streamline operations for functional staff, frontline workers, and managers, dramatically reducing query time and improving decision efficiency.

AI chatbotData AnalysisEnterprise AI
0 likes · 20 min read
How a Large‑Model Powered Bot Boosts Logistics Ops with Smart Q&A and Data Insights
JD Tech Talk
JD Tech Talk
Sep 30, 2024 · Artificial Intelligence

Yunli XiaoZhi: An AI‑Powered Intelligent Assistant for Knowledge Q&A and Data Analysis in Logistics Operations

The document describes the design, implementation, and operational results of Yunli XiaoZhi, an AI‑driven portable knowledge‑base and data‑analysis chatbot that consolidates SOPs, manuals, and real‑time information for logistics staff, using LangChain‑based RAG, vector databases, and large‑model prompting to improve query efficiency, proactive alerts, and reporting across multiple user groups.

AIData AnalysisRAG
0 likes · 19 min read
Yunli XiaoZhi: An AI‑Powered Intelligent Assistant for Knowledge Q&A and Data Analysis in Logistics Operations
dbaplus Community
dbaplus Community
Sep 9, 2024 · Databases

Why SQLite Powers Billions of Devices: Real-World Use Cases Explained

SQLite, the lightweight embedded SQL engine created in 2000, is the world’s most deployed database, powering mobile apps, embedded systems, desktop software, data analysis tasks, and even browser‑based acceleration via WebAssembly, thanks to its zero‑configuration design and broad language support.

Data AnalysisMobile DevelopmentSQLite
0 likes · 8 min read
Why SQLite Powers Billions of Devices: Real-World Use Cases Explained
Java Tech Enthusiast
Java Tech Enthusiast
Sep 2, 2024 · Databases

Understanding SQLite: Usage Scenarios and Advantages

SQLite, a lightweight serverless relational database written in C, powers billions of devices and is used for mobile app storage, embedded systems, offline desktop applications, small‑to‑medium data analysis, and browser‑based acceleration via WebAssembly, supporting languages such as C, C++, Java, Python, and Swift.

Data AnalysisIoTSQLite
0 likes · 5 min read
Understanding SQLite: Usage Scenarios and Advantages
58UXD
58UXD
Aug 21, 2024 · Product Management

How Redesigning a Recruitment Platform Boosted User Engagement and Conversion

This case study details how a recruitment platform identified user‑experience gaps, used journey‑mapping to uncover blue‑collar preferences, implemented design strategies such as local‑job emphasis, anti‑spam features, and address filtering, and achieved measurable improvements in click‑through and conversion rates.

Data AnalysisUX designdesign strategy
0 likes · 9 min read
How Redesigning a Recruitment Platform Boosted User Engagement and Conversion
Test Development Learning Exchange
Test Development Learning Exchange
Aug 16, 2024 · Fundamentals

Advanced Pandas Techniques: Grouping, Aggregation, Window Functions, and More

This article demonstrates eleven practical Pandas examples covering grouping aggregation, conditional filtering, rolling windows, multi-indexing, melting, broadcasting, concatenation, merging, time-series creation, missing-value handling, and custom function application, each accompanied by complete Python code and expected output.

AggregationData AnalysisData manipulation
0 likes · 7 min read
Advanced Pandas Techniques: Grouping, Aggregation, Window Functions, and More
21CTO
21CTO
Aug 13, 2024 · Fundamentals

7 Must‑Know Open‑Source Python Projects Every Developer Should Explore

This article introduces seven noteworthy open‑source Python repositories—including Pandas, Apache Airflow, G4F, Scrapy, Ultroid, Zulip, and Freqtrade—highlighting their key features, typical use cases, and where to find them, offering developers a curated guide to valuable tools for data analysis, workflow automation, web crawling, chat bots, team collaboration, and crypto trading.

Data AnalysisLibrariesPython
0 likes · 5 min read
7 Must‑Know Open‑Source Python Projects Every Developer Should Explore
Data Thinking Notes
Data Thinking Notes
Aug 8, 2024 · Fundamentals

How to Pinpoint the Real Drivers Behind Metric Fluctuations: Methods & Case Studies

This article explains the fundamentals of metric attribution, outlines a three‑step framework for identifying, analyzing, and solving metric changes, compares deterministic, probabilistic, and speculative methods, and illustrates the approach with two real‑world case studies using decomposition and machine‑learning techniques.

Business MetricsCausal InferenceData Analysis
0 likes · 16 min read
How to Pinpoint the Real Drivers Behind Metric Fluctuations: Methods & Case Studies
Python Programming Learning Circle
Python Programming Learning Circle
Jul 17, 2024 · Fundamentals

Seven Essential Python Efficiency Tools for Developers

This article introduces seven powerful Python libraries—Pandas, Selenium, Flask, Scrapy, Requests, Faker, and Pillow—explaining their core features, typical use cases, and providing ready‑to‑run code snippets to help developers boost productivity and automate routine tasks.

Data AnalysisLibrariesPython
0 likes · 6 min read
Seven Essential Python Efficiency Tools for Developers
DataFunTalk
DataFunTalk
Jul 13, 2024 · Artificial Intelligence

Metric Attribution in Internet Platforms: Concepts, Methods, and Case Studies

This article explains metric attribution for internet platforms, covering its definition, a three‑step framework, basic deterministic and probabilistic methods—including indicator decomposition, machine‑learning and SHAP techniques—illustrated with two detailed case studies and a brief overview of supporting tools.

Data AnalysisInternet PlatformsSHAP
0 likes · 15 min read
Metric Attribution in Internet Platforms: Concepts, Methods, and Case Studies
Python Programming Learning Circle
Python Programming Learning Circle
Jul 11, 2024 · Fundamentals

Critical Review of Python in Excel: Limitations, Use Cases, and Recommendations

The article provides a detailed technical analysis of Microsoft’s preview‑only Python in Excel feature, outlining its current capabilities, major limitations such as lack of VBA replacement, restricted package usage, cloud‑dependency, and workflow friction, while suggesting improvements and alternative approaches for data‑centric users.

AzureData AnalysisExcel
0 likes · 16 min read
Critical Review of Python in Excel: Limitations, Use Cases, and Recommendations
Python Programming Learning Circle
Python Programming Learning Circle
Jul 10, 2024 · Big Data

Using the TransBigData Python Library for Mobile Signaling Data Processing, Analysis, and Visualization

This article introduces the open‑source Python package TransBigData, explains how to install it, and demonstrates step‑by‑step methods for reading mobile signaling data, preprocessing, identifying stays and moves, extracting home and work locations, and visualizing individual activity patterns using Jupyter notebooks.

Data AnalysisGeospatialPython
0 likes · 8 min read
Using the TransBigData Python Library for Mobile Signaling Data Processing, Analysis, and Visualization
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jun 21, 2024 · Game Development

Data-Driven Causal Analysis Methods for Game Updates When A/B Testing Is Not Feasible

When large‑scale A/B testing is impractical for high‑traffic, socially intensive games, developers can rely on methods such as Difference‑in‑Differences, hypothesis proportion analysis, and differential‑ratio comparison to infer the causal impact of content updates on key performance metrics.

Causal InferenceData AnalysisGame Analytics
0 likes · 7 min read
Data-Driven Causal Analysis Methods for Game Updates When A/B Testing Is Not Feasible
Test Development Learning Exchange
Test Development Learning Exchange
Jun 4, 2024 · Operations

HR Process Automation Scripts: Resume Parsing, Interview Emails, Pay‑Slip Generation, and Data Analysis

This article presents a collection of Python scripts that automate key HR tasks—including resume parsing, interview invitation emailing, pay‑slip creation, hiring‑channel analysis, turnover calculation, satisfaction survey reporting, salary competitiveness comparison, employee data updates, Word document generation, and leave‑request handling—complete with ready‑to‑run code examples.

Data AnalysisHRPython
0 likes · 10 min read
HR Process Automation Scripts: Resume Parsing, Interview Emails, Pay‑Slip Generation, and Data Analysis
DataFunSummit
DataFunSummit
May 22, 2024 · Artificial Intelligence

Optimizing Coupon Distribution with an Uplift Model

Data analyst Wu Weiwei from eBay China will present how uplift modeling—a causal inference technique—can be applied to e‑commerce coupon distribution, demonstrating methods to identify marketing‑sensitive users, optimize subsidy strategies, and improve business efficiency through data‑driven decision making.

Data AnalysisE-commerce Marketingcoupon optimization
0 likes · 3 min read
Optimizing Coupon Distribution with an Uplift Model
Baidu MEUX
Baidu MEUX
May 8, 2024 · Big Data

Why KNIME Is a Powerful Open‑Source Solution for Big Data Analytics

In the data‑driven era, KNIME offers a free, visual, and highly scalable platform that streamlines massive data ingestion, preprocessing, analysis, automation, and visualization, enabling researchers to handle millions of records efficiently without extensive coding or costly software.

Data AnalysisKNIMEVisual Programming
0 likes · 9 min read
Why KNIME Is a Powerful Open‑Source Solution for Big Data Analytics
DataFunTalk
DataFunTalk
Apr 26, 2024 · Artificial Intelligence

Large Language Models in the Automotive Industry: Overview, Impact, and Practical Exploration

This article examines how large language models such as GPT and Transformer‑based architectures are reshaping the automotive sector by enhancing in‑vehicle intelligence, streamlining product development, improving customer service, and redefining data analyst roles, while also presenting practical experiments, deployment challenges, and future directions.

Automotive AIData AnalysisGPT
0 likes · 18 min read
Large Language Models in the Automotive Industry: Overview, Impact, and Practical Exploration
JD.com Experience Design Center
JD.com Experience Design Center
Apr 19, 2024 · Product Management

How A/B Testing Transforms JD Express Mini‑Program Design: From Basics to Real‑World Results

This article explains why and how to conduct A/B testing for UI design, outlines experiment setup, variable creation, and data analysis, and presents detailed case studies of JD Express mini‑program pop‑up and order‑completion page experiments that demonstrate measurable improvements in click‑through and conversion rates.

A/B testingData AnalysisMobile App
0 likes · 18 min read
How A/B Testing Transforms JD Express Mini‑Program Design: From Basics to Real‑World Results
DaTaobao Tech
DaTaobao Tech
Mar 29, 2024 · Artificial Intelligence

Text-to-SQL with Large Language Models: DIN-SQL Approach

The DIN‑SQL approach enhances Text‑to‑SQL performance by using large language models in a decomposed in‑context learning framework with schema linking, query classification, SQL generation, and self‑correction modules, achieving state‑of‑the‑art 85.3% execution accuracy on the Spider benchmark by breaking complex queries into manageable sub‑tasks.

AI researchData AnalysisDatabase Querying
0 likes · 34 min read
Text-to-SQL with Large Language Models: DIN-SQL Approach
360 Quality & Efficiency
360 Quality & Efficiency
Mar 8, 2024 · Fundamentals

Using Python Pandas for Data Comparison Between Files and Databases

This article demonstrates how testers can ensure large‑scale data accuracy by leveraging Python’s Pandas library to compare and match data across files and databases, presenting a reusable class, field‑mapping techniques, code examples, and a comparison of Pandas with other data‑handling libraries.

CSVData AnalysisData Validation
0 likes · 5 min read
Using Python Pandas for Data Comparison Between Files and Databases
Python Programming Learning Circle
Python Programming Learning Circle
Feb 29, 2024 · Fundamentals

Understanding Happy Numbers: Definition, Python Implementations, and Real-World Applications

Happy numbers are positive integers that eventually reach 1 when repeatedly replaced by the sum of the squares of their digits; this article defines them, demonstrates Python implementations using recursion and sets, and explores practical uses in cryptography, game development, and data analysis.

Data AnalysisPythonhappy numbers
0 likes · 5 min read
Understanding Happy Numbers: Definition, Python Implementations, and Real-World Applications
DataFunSummit
DataFunSummit
Jan 24, 2024 · Big Data

Trends, Challenges, and Technical Practices of Modern Data Analysis and Indicator Platforms

This article reviews the evolution of data analysis and business intelligence, highlights current trends such as precision, agility, and real‑time needs, discusses common challenges, and presents the design and implementation of a unified semantic layer and indicator platform to enable agile, accurate, and real‑time analytics.

Data AnalysisMetrics PlatformReal-time Analytics
0 likes · 14 min read
Trends, Challenges, and Technical Practices of Modern Data Analysis and Indicator Platforms
Test Development Learning Exchange
Test Development Learning Exchange
Jan 16, 2024 · Artificial Intelligence

Python Code Samples for Data Scraping and Analysis Across Various Business Scenarios

This article presents a collection of Python code examples demonstrating how to scrape, process, visualize, and analyze data from news sites, social media, stock markets, e‑commerce, web traffic, text, images, and more, covering tasks such as clustering, time‑series forecasting, and sentiment analysis.

Data AnalysisPythonWeb Scraping
0 likes · 12 min read
Python Code Samples for Data Scraping and Analysis Across Various Business Scenarios
Model Perspective
Model Perspective
Jan 2, 2024 · Fundamentals

How Empirical Research Transforms Knowledge: A Step‑by‑Step Guide

Empirical research, a systematic method that relies on real data and observation rather than theory alone, follows a clear process—from defining questions and hypotheses, collecting and cleaning data, selecting analysis techniques, to interpreting results and reporting findings—illustrated by the classic Pygmalion Effect study.

Data AnalysisPygmalion Effectempirical research
0 likes · 6 min read
How Empirical Research Transforms Knowledge: A Step‑by‑Step Guide
DaTaobao Tech
DaTaobao Tech
Dec 22, 2023 · Big Data

AB Incremental Evaluation and Contamination Mitigation in Social Viral Experiments

The paper defines AB increment, shows how to calculate DAU gains from per‑user visit rates, explains how social viral experiments introduce unidirectional or bidirectional contamination that biases increment estimates, and proposes four probability‑estimation schemes—exponential smoothing, expansion coefficients, and homogeneous‑group sampling—to correct the bias based on experiment design and business context.

AB TestingData AnalysisExperiment Evaluation
0 likes · 10 min read
AB Incremental Evaluation and Contamination Mitigation in Social Viral Experiments
Data Thinking Notes
Data Thinking Notes
Dec 21, 2023 · Product Management

Mastering Growth Metrics: Methodologies, Frameworks, and Real‑World Cases

This article explains Douyin’s growth‑analysis methodology, how to construct a comprehensive growth‑metric system with North‑Star indicators and hierarchical metric layers, the end‑to‑end analysis loop, new scenario‑driven metric applications, and a detailed case study on improving video‑submission rates.

AB TestingData AnalysisUser Acquisition
0 likes · 24 min read
Mastering Growth Metrics: Methodologies, Frameworks, and Real‑World Cases
Data Thinking Notes
Data Thinking Notes
Dec 19, 2023 · Big Data

Mastering Data Analysis: Methodology, Team Building, and Career Insights

This comprehensive guide shares a seasoned data professional’s methodology, classifications, goal‑setting techniques, team‑building strategies, analyst competencies, report standards, and the three‑pillar "trend‑method‑technique" framework to help newcomers and veterans alike extract business value from data.

Business IntelligenceData Analysiscareer development
0 likes · 39 min read
Mastering Data Analysis: Methodology, Team Building, and Career Insights
Model Perspective
Model Perspective
Dec 19, 2023 · Fundamentals

Why Hospital Survival Rates Can Mislead: Unveiling Simpson’s Paradox

Simpson’s Paradox shows how aggregated data can suggest one trend while each subgroup reveals the opposite, illustrated with hospital survival rates where overall A appears better than B, yet detailed analysis by severity flips the conclusion, highlighting the need to consider background variables in statistical interpretation.

BiasData AnalysisSimpson's paradox
0 likes · 5 min read
Why Hospital Survival Rates Can Mislead: Unveiling Simpson’s Paradox
Huolala Tech
Huolala Tech
Dec 15, 2023 · Fundamentals

Do Mixed Fixed & Random Time‑Slice Schedules Shorten Experiment Recovery? Simulation Insights

This article analyses how fixed‑order and random‑order time‑slice carousel designs affect experiment interference, recovery cycles, and data homogeneity through theoretical discussion and extensive simulations, revealing that mixed scheduling rarely shortens cycles and may worsen homogeneity compared to pure fixed‑order approaches.

Data AnalysisSimulationexperiment design
0 likes · 9 min read
Do Mixed Fixed & Random Time‑Slice Schedules Shorten Experiment Recovery? Simulation Insights
Data Thinking Notes
Data Thinking Notes
Dec 14, 2023 · Fundamentals

Why Designing Metrics Matters: From Definition to Good Indicator Practices

This article explains why metrics are essential, defines what a metric is, describes the four essential elements of metric design, outlines the three‑step design process, discusses measurement scales and time characteristics, and provides criteria for evaluating good metrics.

Data Analysisindicator designmeasurement scales
0 likes · 15 min read
Why Designing Metrics Matters: From Definition to Good Indicator Practices
Test Development Learning Exchange
Test Development Learning Exchange
Dec 10, 2023 · Backend Development

Online Traffic Replay in Python Automated Testing: Log Parsing, MySQL Storage, and Local Request Data Management

This article explains how to implement online traffic replay for Python automated testing by parsing logs, storing request data in a local MySQL database, analyzing user information with data‑analysis libraries, and locally persisting URL, method, headers, and body details using JSON files, complete with sample code.

Data AnalysisMySQLPython
0 likes · 5 min read
Online Traffic Replay in Python Automated Testing: Log Parsing, MySQL Storage, and Local Request Data Management
Tencent Cloud Developer
Tencent Cloud Developer
Dec 7, 2023 · Artificial Intelligence

Student Score Ranking and Distribution Analysis Using Python and Tencent Hunyuan Model

Using Tencent's Hunyuan model, the tutorial walks through a Python workflow that scrapes a student‑score table from a web page, saves it as CSV and Excel, cleans missing values, computes total and average scores, and visualizes their distributions with matplotlib, illustrating how LLMs can accelerate data‑analysis coding while still needing human verification.

Data AnalysisData VisualizationPython
0 likes · 8 min read
Student Score Ranking and Distribution Analysis Using Python and Tencent Hunyuan Model
Python Programming Learning Circle
Python Programming Learning Circle
Nov 22, 2023 · Big Data

E‑commerce User Behavior Analysis and KPI Modeling with Python and SQL

This study analyzes JD e‑commerce operational data from February to April 2018, employing Python and SQL to compute key metrics such as PV, UV, conversion rates, attrition, purchase frequency, time‑based behavior, funnel analysis, retention, product sales, and RFM segmentation, and provides actionable recommendations for improving user engagement and sales performance.

Data AnalysisRFMSQL
0 likes · 30 min read
E‑commerce User Behavior Analysis and KPI Modeling with Python and SQL
Data Thinking Notes
Data Thinking Notes
Nov 21, 2023 · Operations

36 Essential Data Analysis Models Across 6 Business Domains

This article presents 36 concise data analysis models spanning six key business dimensions—Internet operations, strategy and organization, quality and production, marketing services, financial management, and human resources—to help analysts choose the right method for structured, logical, and effective insights.

Business AnalyticsData AnalysisHuman Resources
0 likes · 12 min read
36 Essential Data Analysis Models Across 6 Business Domains
Model Perspective
Model Perspective
Nov 20, 2023 · Fundamentals

Mastering Math Modeling Competitions: Essential Skills, Tools, and Strategies

This guide answers the most frequent questions about math modeling contests, covering required knowledge, practical skill development, competition preparation tactics, Python and data‑analysis techniques, software choices, and recommended self‑learning resources, while also introducing a dedicated online course.

Data AnalysisMath Modelingcompetition preparation
0 likes · 14 min read
Mastering Math Modeling Competitions: Essential Skills, Tools, and Strategies
DataFunTalk
DataFunTalk
Nov 3, 2023 · Product Management

Strategy Product Management: Principles, Frameworks, and Q&A for Content Recommendation

This article explains the role and mindset of a strategy product manager, outlines the decision‑making framework for content recommendation platforms, compares it with related positions, and answers practical questions about value, AI impact, commercial‑consumer trade‑offs, and content creation versus consumption.

AI impactData AnalysisProduct Strategy
0 likes · 16 min read
Strategy Product Management: Principles, Frameworks, and Q&A for Content Recommendation
Test Development Learning Exchange
Test Development Learning Exchange
Oct 28, 2023 · Databases

How Data Analysis Improves User Experience: Methods and Practical SQL Code Examples

This article explains ten data‑analysis techniques for enhancing user experience—such as behavior tracking, A/B testing, sentiment analysis, and personalization—and provides concrete SQL code snippets that illustrate how to import, query, filter, sort, aggregate, join, update, delete, and back up data in relational databases.

A/B testingData AnalysisSQL
0 likes · 8 min read
How Data Analysis Improves User Experience: Methods and Practical SQL Code Examples
Data Thinking Notes
Data Thinking Notes
Oct 17, 2023 · Operations

How to Master Operational Data Analysis: From Metrics to Insightful Decisions

This guide explains how to build a comprehensive operational data analysis framework by adopting macro, business, thinking, and personal perspectives, defining dimensions and metrics, applying structured workflows, and avoiding common pitfalls to develop data sensitivity and drive effective decision‑making.

Business IntelligenceData Analysisanalytics workflow
0 likes · 12 min read
How to Master Operational Data Analysis: From Metrics to Insightful Decisions
Data Thinking Notes
Data Thinking Notes
Oct 8, 2023 · Product Management

How to Build a Robust Data Metric System for Business Success

This guide explains why many enterprises struggle with incomplete metric systems, outlines universal principles, methods, and step‑by‑step procedures—including defining a North Star metric, creating a metric dictionary, and systematic integration—to design effective, dynamic data indicator frameworks that drive informed decision‑making.

Business AnalyticsData AnalysisData Metrics
0 likes · 12 min read
How to Build a Robust Data Metric System for Business Success
DataFunTalk
DataFunTalk
Sep 27, 2023 · Product Management

Building an AB Experiment System for User Growth Scenarios

This article presents a comprehensive AB testing framework tailored for new‑user growth scenarios, detailing the challenges of early traffic splitting, the design of a scientifically validated experiment system, ID selection criteria, and real‑world case studies that demonstrate improved retention and device activation.

AB TestingData Analysismobile apps
0 likes · 12 min read
Building an AB Experiment System for User Growth Scenarios
Test Development Learning Exchange
Test Development Learning Exchange
Sep 24, 2023 · Artificial Intelligence

Common Python Libraries for Data Analysis, Summarization, and Classification

This article introduces five widely used Python libraries—Pandas, NumPy, NLTK, Scikit-learn, and Matplotlib—explaining their core functionalities for data cleaning, statistical analysis, natural language processing, machine‑learning modeling, and visualization, and provides practical code snippets for each.

Data AnalysisNLTKNumPy
0 likes · 6 min read
Common Python Libraries for Data Analysis, Summarization, and Classification
DaTaobao Tech
DaTaobao Tech
Sep 20, 2023 · Big Data

Data-Driven Analysis of Taobao App Startup Performance

The article details Taobao’s data‑driven study linking user questionnaire satisfaction to cold‑start times, revealing that startup performance—especially on low‑end Android devices—dominates overall satisfaction, and proposes tier‑based cold‑start targets, a subjective‑objective model, and a monitoring pipeline to achieve a 20% satisfaction boost.

Data AnalysisMobile AppStartup time
0 likes · 16 min read
Data-Driven Analysis of Taobao App Startup Performance
Test Development Learning Exchange
Test Development Learning Exchange
Sep 11, 2023 · Fundamentals

Why Do Data Analysis? 10 Practical Python Data Analysis Scenarios with Code Examples

The article explains the importance of data analysis for business insight, problem detection, decision support, operational optimization, forecasting, and competitiveness, and then presents ten practical Python code scenarios covering data loading, cleaning, filtering, aggregation, visualization, statistics, transformation, time‑series analysis, export, and machine‑learning applications.

Data AnalysisData ScienceData Visualization
0 likes · 7 min read
Why Do Data Analysis? 10 Practical Python Data Analysis Scenarios with Code Examples
php Courses
php Courses
Sep 7, 2023 · Backend Development

Using PHP for Data Analysis and Report Generation

This article explains how to use PHP to collect, process, and visualize data from sources such as CSV files, then design report templates and export the results as PDFs using libraries like Chart.js, PHPlot, TCPDF, and PHPExcel.

Data Analysischartjsreport generation
0 likes · 6 min read
Using PHP for Data Analysis and Report Generation
Sohu Tech Products
Sohu Tech Products
Aug 23, 2023 · Backend Development

How to Scrape Bilibili Comments and Analyze Them with ChatGPT

This article walks through discovering Bilibili's comment API, programmatically fetching paginated JSON data, converting it into Java POJOs, storing and sorting the comments, and finally feeding the top entries to ChatGPT for automated sentiment and content analysis.

APIBilibiliChatGPT
0 likes · 14 min read
How to Scrape Bilibili Comments and Analyze Them with ChatGPT
Data Thinking Notes
Data Thinking Notes
Aug 21, 2023 · Product Management

How User Profiling Drives Personalized Marketing and Product Innovation

This article explains the fundamentals, principles, methodologies, and practical applications of user profiling, covering core concepts such as user characteristics, behavior, preferences, needs, and value, the data collection-to-model pipeline, common models like RFM, clustering, association rules, text mining, and how these insights enable personalized recommendation, precise marketing, brand management, service optimization, CRM, market research, and product innovation.

ClusteringData AnalysisRFM model
0 likes · 14 min read
How User Profiling Drives Personalized Marketing and Product Innovation
JD Retail Technology
JD Retail Technology
Aug 21, 2023 · Artificial Intelligence

ChatGPT-4 Enhances Data Analysis Efficiency and Insight Across Big Data Scenarios

This article examines how ChatGPT-4, as an advanced natural‑language‑processing model, can streamline data analysis tasks—from generating Hive table definitions and sample data to crafting complex HiveSQL queries, visualizing results, and implementing ClickHouse and Flink solutions—thereby improving efficiency, insight, and problem‑solving in big‑data environments.

Artificial IntelligenceChatGPT-4ClickHouse
0 likes · 7 min read
ChatGPT-4 Enhances Data Analysis Efficiency and Insight Across Big Data Scenarios
Architect's Guide
Architect's Guide
Aug 21, 2023 · Fundamentals

Guidelines for Structured Data Analysis Reports and Effective Chart Usage

This article outlines a clear framework for writing data analysis reports—including hierarchical structure, concise conclusions, business‑oriented recommendations, reliable data sourcing, and best‑practice chart design—while highlighting common statistical pitfalls and tips for improving readability and impact.

Data Analysisbest practiceschart design
0 likes · 12 min read
Guidelines for Structured Data Analysis Reports and Effective Chart Usage
Model Perspective
Model Perspective
Aug 17, 2023 · Artificial Intelligence

Can Math Build the Ultimate Pokémon Dream Team? A Data‑Driven Analysis

This article uses a Kaggle Pokémon dataset of 802 creatures to explore statistical correlations, build a random‑forest classifier for legendary status, assess type strengths, and apply optimization techniques—including integer linear programming, greedy selection, and simulated annealing—to propose an optimal six‑Pokémon dream team.

Data AnalysisOptimizationmachine learning
0 likes · 23 min read
Can Math Build the Ultimate Pokémon Dream Team? A Data‑Driven Analysis
DataFunTalk
DataFunTalk
Aug 12, 2023 · Big Data

Building an Agile, Real‑Time Data Analysis Platform with Unified Metrics

This article reviews the evolution and current challenges of modern data analysis, explains why metric‑driven approaches are needed, and details the design, core capabilities, and technical practices of a unified metric platform that enables agile, real‑time insights across diverse data sources.

Data AnalysisMetric Platformagile data
0 likes · 13 min read
Building an Agile, Real‑Time Data Analysis Platform with Unified Metrics
DataFunTalk
DataFunTalk
Aug 10, 2023 · Big Data

iQIYI Magic Mirror: Evolution of a Big Data Analysis Platform

The article details how iQIYI's Magic Mirror platform evolved from a simple single‑table reporting tool to a multi‑engine, self‑service big data analysis system that improves data access speed, reduces operational costs, and supports comprehensive business analytics across the company.

Data AnalysisData VisualizationMagic Mirror
0 likes · 17 min read
iQIYI Magic Mirror: Evolution of a Big Data Analysis Platform
58 Tech
58 Tech
Aug 3, 2023 · R&D Management

Design and Implementation of Anjuke's R&D Efficiency Measurement System

This article describes Anjuke's R&D efficiency measurement framework, detailing its quality and efficiency metrics across project phases, the data collection and processing architecture, visualization dashboards, and analysis methods used to monitor and improve development productivity, reliability, and continuous delivery.

Data AnalysisProcess ImprovementR&D management
0 likes · 15 min read
Design and Implementation of Anjuke's R&D Efficiency Measurement System