What percentage of time is spent on data cleaning in the data science process? Around 80% Around 60% Around 20% Around 40%
时间: 2024-06-18 11:05:40 浏览: 15
The amount of time spent on data cleaning in the data science process can vary depending on the quality of the data and the specific project. However, it is generally estimated that around 60% to 80% of the time is spent on data cleaning and preparation. This is because the data used in data science projects is often messy, incomplete, or inconsistent, and requires significant effort to clean and transform into a usable format for analysis.
相关问题
What percentage of time is spent on data cleaning in the data science process? A.Around 40% B.Around 60% C.Around 80% D.Around 20%
据数据科学家的经验,数据清洗通常占据整个数据科学过程的70%-80%左右的时间,因此答案应该是C.约占80%。在数据科学中,数据清洗是非常重要的步骤,它涉及到识别和处理数据集中的缺失值、异常值、重复项、格式错误等问题,以确保数据集能够被正确地分析和解释。因此,数据清洗的质量和准确性对于最终的分析结果至关重要。
What percentage of data that exists is structured data? Around 20% Around 40% Around 80% Around 60%
Around 20% of the data that exists is structured data. The rest of the data is unstructured or semi-structured data such as text, images, videos, and audio files. As the amount of unstructured data continues to grow, there is a growing need for tools and techniques to analyze and extract insights from this data.
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