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datasetC
- 一次性读3000行数据，可以修改最大值，提取每行数据，然后读入结构体，然后对每行数据进行处理，分段读大文件-Subparagraph to read large files, read 3000 lines at once, and then for each row of data processing and handling missing values. Reads the data in each row and write program writes the extracted
Desktop
- 利用python读取aeronet的资料，适合刚入门的朋友，从第几行开始读，如何设置缺失值也有。(Using Python to read AERONET data, it is suitable for beginners to start reading from the first few lines, and how to set missing values.)
代码
- 使用的是深圳市数学建模的电信用户数据，基于数据筛选出高价值用户，并分析他们的消费特点。代码中包括了层次分析法，聚类分析，数据的缺失值、异常值的处理(The code includes the analytic hierarchy process, the clustering analysis, the missing values of the data, and the handling of the abnormity values)
missing_value
- This is and exemple on missing value handling
bivariate
- Bivariate distrubution missing values
dataprocessing
- 对基本数据，如缺失值、数据集合并等使用pandas进行处理(Processing basic data, such as missing values, data sets, and so on using pandas)