数据的使用还是德国信贷数据集,具体数据集介绍和获取方法请看数据清洗与预处理代码详解——德国信贷数据集(data cleaning and preprocessing - German credit datasets) 1importos2importpandas as pd3importnumpy as np4importpickle5fromsklearn.preprocessingimportOneHotEncoder6fromsklearn.preprocessingimportLabelEncoder7...
This chapter discusses the findings from the qualitative and quantitative research conducted among farmers, private sector seed industry representatives, and scientists at government research institutdoi:10.1007/978-3-662-52796-2_5KochupillaiMrinaliniSpringer Berlin Heidelberg...
Coding, sorting and sifting of qualitative data analysis: debates and discussion. Qual. Quant. 49, 1135-1143. http://dx.doi.org/10.1007/ s11135-014-0039-2.Chowdhury, M. F. (2015). Coding, sorting and sifting of qualitative data analysis: debates and discussion. Quality & Quantity, 49(...
Thematic coding有两种方式来进行研究。第一种方式是从已有学术理论和数据中找到你论文研究所需要的themes。
建立编码框架是Thematic Coding Analysis的重要步骤之一。编码框架是一种用来组织数据和分析数据的工具。它...
Charles ETaylor & Francis GroupTechnometricsMurtagh F. Correspondence Analysis and Data Coding with Java and R. Boca Raton, FL: Chapman and Hall; 2005.Murtagh F (2005) Correspondence Analysis and Data Coding with Java and R. Boca Raton: Chapman & Hall....
Traditionally, performing big data analytics meant a lot of heavy lifting in terms of coding and manual analysis. Modern tools and analysis techniques incorporate AI to enhance every aspect of analytics by automating processes, enabling advanced techniques, improving accuracy and efficiency, and generatin...
An installation walkthrough, how-to guides for adding new operations and themes, descriptions of the repository structure, available data types and coding conventions can all be found in the "Contributing" wiki page.Push your changes to your fork. Submit a pull request. If you are doing this ...
accommodating massive amounts of data without notably raising costs. The performance of Huawei’s storage solutions comes from their adoption of innovative software (advanced data coding and compression algorithms) and hardware technologies. This creates higher system density, increasing the storage capacity...
Simply put, data cleaning (or cleansing) is a process required to prepare for data analysis. This can involve finding and removing duplicates and incomplete records, and modifying data to rectify inaccurate records. Unclean or dirty data has always been a problem, yet we have seen an exponential...