Analyzed Data for The Impact of COVID-19 on Technical Services Units Survey Results
收藏DataCite Commons2022-08-01 更新2024-07-29 收录
下载链接:
https://figshare.com/articles/dataset/Analyzed_Data_for_The_Impact_of_COVID-19_on_Technical_Services_Units_Survey_Results/20416104
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资源简介:
These datasets contain cleaned data survey results from the October 2021-January 2022 survey titled "The Impact of COVID-19 on Technical Services Units". This data was gathered from a Qualtrics survey, which was anonymized to prevent Qualtrics from gathering identifiable information from respondents. These specific iterations of data reflect cleaning and standardization so that data can be analyzed using Python. Ultimately, the three files reflect the removal of survey begin/end times, other data auto-recorded by Qualtrics, blank rows, blank responses after question four (the first section of the survey), and non-United States responses. Note that State names for "What state is your library located in?" (Q36) were also standardized beginning in Impact_of_COVID_on_Tech_Services_Clean_3.csv to aid in data analysis. In this step, state abbreviations were spelled out and spelling errors were corrected.
本数据集包含2021年10月至2022年1月开展的题为《新冠疫情(COVID-19)对技术服务部门的影响》的调研经清洗后的结果数据。该数据通过Qualtrics调研平台采集,并完成匿名化处理,以防止Qualtrics获取受访者的可识别身份信息。本次发布的该批次数据迭代版本均经过清洗与标准化处理,可直接通过Python开展数据分析。最终生成的三份数据文件已完成如下预处理操作:移除调研的开始与结束时间、Qualtrics自动记录的额外数据、空行、第四题(调研第一部分)后的空白作答条目,以及非美国受访者的作答数据。请注意,在Impact_of_COVID_on_Tech_Services_Clean_3.csv文件中,针对“您的图书馆位于哪个州?”(Q36)一题的州名也进行了标准化处理,以辅助数据分析工作。本次标准化处理环节中,我们将美国州名的缩写展开为全称,并修正了其中的拼写错误。
提供机构:
figshare
创建时间:
2022-08-01



