产褥病率（puerperal morbidity)

A、神经纤维瘤病

B、特发性基底节钙化

C、脑面血管瘤病

D、结节性硬化症

E、腓骨肌萎缩症

A. Y 连锁遗传病

B. 单基因遗传病

c.多基因遗传病

D. 染色体病

A.y2检验

B.校正的r2检验

C.Wilcoxon秩和检验

D.Kruskal-Wallis检验

E.Friedman秩和检验

Choose one of the following research tasks. For any selected task, use R language to get data and analyze data. Also develop models to discover interesting information and knowledge from the data with R language. Please notify that: 1) submit your project report in a word document and also a R code source file, including the data you use. 2) the report should include data illustration (exploring any patterns you find interesting), the whole model development process, and the results of model. Validity of models should be checked and tested. Performance of models should be evaluated, comparing with a trivial model if possible. 3) novelty of the project will be encouraged by giving more credit to your score. 4) submission deadline: 2020. 06. 30 Task 1. Statistical modelling with one of the data below: 1) 滴滴出行海口数据集分析与预测 2) 上海市交通流预测 3) 贵州市智慧交通预测 4) 人工智能辅助糖尿病遗传风险预测 5) 中文糖尿病标注数据集 6) 其他数据集的分析与建模 Task 2. Text mining and modelling by using web scrapping data with R language. The topics can be non-exclusively as follows: 1) 美团、天猫、或京东平台上商业广告文案与销量分析预测 2) 美团、天猫、或京东平台上顾客评论与满意度评分预测 3) 南京市房价、房租数据分析与预测 4) COVID-19与就业市场影响分析 5) B站与青年人影响分析 6) 其他爬虫数据分析与建模 Perform in-depth analyses with your data. Statistical models are much better if applicable.