独立数据分析工作室 · INDEPENDENT STUDIO INDEPENDENT DATA ANALYTICS STUDIO EST. 2026 200+ 已完成项目 200+ COMPLETED PROJECTS

把数据
说成故事.
Data
told right.

从问卷量表到面板回归,从描述统计到中介分析,
再到时序预测、机器学习、生存分析 —— 覆盖主流数据分析方法。
我们替你把数据洗干净、模型跑明白、报告写工整,然后你把它交出去,毫无压力。

From survey scales to panel regressions, descriptive stats to mediation,
time-series forecasting to machine learning — we cover the full spectrum of data analysis.
We clean your data, run your models, and deliver publication-ready reports.

Panel DataFixed EffectsMediationPSMDIDFactor AnalysisSEMLogisticRandom ForestXGBoostTime SeriesSurvival AnalysisBootstrapSHAPPSQISCL-90 Panel DataFixed EffectsMediationPSMDIDFactor AnalysisSEMLogisticRandom ForestXGBoostTime SeriesSurvival AnalysisBootstrapSHAPPSQISCL-90
§ 001 — SERVICES

能做什么Services

三个主要方向Three pillars
01 / THESIS

Empirical
Analysis

论文实证分析Thesis-grade empirical work

覆盖主流计量经济学与实证分析方法——从面板回归、固定效应到中介调节、DID、PSM、SEM,再到各类稳健性与异质性检验。常见方法都能做,冷门方法也可沟通,从数据清洗到结果呈现,代码可复现,模型可解释。

Full coverage of mainstream econometric and empirical methods — from panel regressions and fixed effects to mediation, moderation, DID, PSM, SEM, and a wide range of robustness and heterogeneity tests. Less common methods welcome for discussion. Reproducible code, interpretable models.

02 / SURVEY

Questionnaire
Analysis

问卷量表分析Scale & survey analytics

PSQI、SAS、SDS、SCL-90、SES、EPQ 等主流量表全流程处理,定制问卷也能做。信效度检验、相关分析、回归建模、APA 三线表全套交付。

Full-pipeline processing for all major psychometric scales — PSQI, SAS, SDS, SCL-90, SES, EPQ and more. Custom questionnaires also welcome. Reliability, correlation, regression, publication-ready tables.

03 / VIZ

Data
Visualization

数据可视化Publication-quality graphics

matplotlib、seaborn、ggplot 全套出图。300dpi 出版级精度,中英文字体适配,学位论文/期刊投稿/汇报演示都能用。

matplotlib, seaborn, ggplot2 — 300dpi publication-quality outputs. CJK font support, journal-ready formatting.

§ 002 — PROCESS

接单流程How it works

四步完成Four steps
01

沟通需求Brief

加企业微信群,发送数据与需求描述,由专业老师评估可行性并免费报价Join our enterprise WeChat group, share your data and requirements. Our analysts assess feasibility and quote for free.

02

确认接单Confirm

双方确认方案后,一次性支付全款,正式开始项目Once scope is confirmed, full payment is made and the project officially begins.

03

分析交付Deliver

专业老师开始处理,阶段性同步进度,完成后交付初稿Our analysts work on the project, sharing progress along the way, and deliver the draft upon completion.

04

验收售后Review

客户确认满意后交付完整文件,提供 15 天免费售后Final files delivered upon client approval. 15 days of complimentary post-delivery support included.

§ 003 — RECENT WORK

近期案例Recent work

已脱敏Anonymized
CASE 01
2026 / 04

Hardware Warehouse
Flow Analysis

五金件仓库出入库分析Warehouse inbound/outbound optimization
EIQ / ABC Classification / Storage Optimization
CASE 02
2026 / 04

Digital Transformation
& Firm Resilience

企业数字化转型与韧性研究Panel study on A-share listed firms
Two-way FE / Mediation / Heterogeneity
CASE 03
2026 / 03

Credit Default
Prediction

信用卡违约预测论文ML-based default prediction thesis
Logistic / Random Forest / SHAP
CASE 04
2026 / 03

Sleep Quality
& Quality of Life

老年人睡眠质量与生活质量研究Elderly sleep & QoL survey study
PSQI / Mediation / Bootstrap
§ 004 — PRICING

价格区间Pricing

具体加微信详谈Contact for exact quote

Essential

基础分析Basic analytics
¥100
$20 +
起步价Starting from
  • 描述性统计 + 频率分布Descriptive stats + frequency
  • 基础相关分析Basic correlation analysis
  • Word 报告 + 三线表Word report + formatted tables
  • 48 小时交付48h delivery

Bespoke

定制方案Custom project
¥1k +
$200 +
完整论文级Thesis-level
  • 全章实证重写Full-chapter empirical rewrite
  • 方法论咨询Methodology consulting
  • 15 天免费售后15-day post-delivery support
  • 查重降 AI 处理Plagiarism & AI-detection optimization
  • 答辩前支持Pre-defense support
§ 005 — FAQ

常见问题FAQ

数据安全吗?Is my data safe?

所有数据本地处理,不上传任何第三方云端。项目完成后按客户要求删除原始数据。All data is processed locally. No third-party cloud uploads. Raw data deleted upon project completion per your request.

多久能交付?How fast is delivery?

简单分析(描述性统计/相关)2-3 天,标准实证 5-7 天,复杂项目视具体情况沟通。Basic analysis: 2-3 days. Standard empirical: 5-7 days. Complex projects: discussed case by case.

能保证结果显著吗?Can you guarantee significant results?

不能,这也是我们的底线。数据说什么就是什么,我们不会为了"好看"而编造或操纵结果。No, and this is a firm principle. We report what the data shows. We never fabricate or manipulate results to achieve significance.

不满意怎么办?What if I'm not satisfied?

标准服务含 15 天免费售后,期内可沟通调整。我们的目标是交付到你满意为止。Standard service includes 15 days of free post-delivery support for adjustments. Our goal is your complete satisfaction.

怎么付款?How do I pay?

一次性付清,完成初稿后先交由平台代管,待客户收货好评后再解付给专业老师。Full payment upfront, held in platform escrow. Released to our analysts only after client confirms delivery and leaves positive feedback.

你们用什么工具?What tools do you use?

Python、R、MATLAB、SPSS、Stata 全套数据分析工具,根据项目需求灵活选用。所有代码随报告交付。Python, R, MATLAB, SPSS, Stata — full spectrum of data analysis tools, chosen per project needs. All code delivered with the report.

// 工作原则// Principles

编造数据。
伪造引用。
不接没把握的活。
No fabricated data.
No fake citations.
No projects we can't deliver.

所有数据来自真实统计来源,所有引用一条一条核对真伪,所有模型在结果出来之前都跑过完整诊断。如果一个项目的方法行不通,我们会在开始之前就告诉你,而不是跑完之后再解释为什么不显著。

Every dataset from verified sources. Every citation checked one by one. Every model diagnosed before results are reported. If a method won't work for your project, we tell you before we start — not after we finish.

// 服务声明// Service Statement

服务说明Service Agreement

数研社 (Data Analytics Studio) 提供数据分析方法咨询、代码实现与技术报告撰写支持服务。所有交付内容旨在帮助客户学习数据分析方法、理解统计原理、复现研究流程。

Data Analytics Studio (DAS) provides data analysis methodology consulting, code implementation, and technical report writing support. All deliverables are designed to help clients learn analytical methods, understand statistical principles, and reproduce research workflows.

所有报告均为方法论与技术演示文档,不构成对客户学术成果的背书。客户因不当使用交付物产生的任何后果由其本人承担。 All reports are methodology and technical demonstration documents. They do not constitute endorsement of any client's academic output. Clients bear sole responsibility for how deliverables are used.

客户应自行确保:

Clients are responsible for ensuring:

  1. 提供的数据来源合法,且有权进行分析Data provided is legally obtained and authorized for analysis
  2. 委托内容不违反所在学校或机构的学术诚信规定The commissioned work does not violate their institution's academic integrity policies
  3. 交付物的最终使用方式由客户独立决定Final use of deliverables is the client's independent decision

我们拒绝的项目类型:数据伪造、引用伪造。

Projects we decline: data fabrication, citation fabrication.

// 接单中// Now accepting projects

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