Python Codes for Data Analysis of The Impact of COVID-19 on Technical Services Units Survey Results
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Copies of Anaconda 3 Jupyter Notebooks and Python script for holistic and clustered analysis of 'The Impact of COVID-19 on Technical Services Units' survey results.Data was analyzed holistically using cleaned and standardized survey results and by library type clusters. To streamline data analysis in certain locations, an off-shoot CSV file was created so data could be standardized without compromising the integrity of the parent clean file. Three Jupyter Notebooks/Python scripts are available in relation to this project: COVID_Impact_TechnicalServices_HolisticAnalysis (a holistic analysis of all survey data) and COVID_Impact_TechnicalServices_LibraryTypeAnalysis (a clustered analysis of impact by library type, clustered files available as part of the Dataverse for this project)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["COVID-19 Pandemic, 2020-","COVID-19 Pandemic, 2020---Influence","Library research","Technical services (Libraries)"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Copies of Anaconda 3 Jupyter Notebooks and Python script for holistic and clustered analysis of 'The Impact of COVID-19 on Technical Services Units' survey results.Data was analyzed holistically using cleaned and standardized survey results and by library type clusters. To streamline data analysis in certain locations, an off-shoot CSV file was created so data could be standardized without compromising the integrity of the parent clean file. Three Jupyter Notebooks/Python scripts are available in relation to this project: COVID_Impact_TechnicalServices_HolisticAnalysis (a holistic analysis of all survey data) and COVID_Impact_TechnicalServices_LibraryTypeAnalysis (a clustered analysis of impact by library type, clustered files available as part of the Dataverse for this project)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Copies of Anaconda 3 Jupyter Notebooks and Python script for holistic and clustered analysis of 'The Impact of COVID-19 on Technical Services Units' survey results.Data was analyzed holistically using cleaned and standardized survey results and by library type clusters. To streamline data analysis in certain locations, an off-shoot CSV file was created so data could be standardized without compromising the integrity of the parent clean file. Three Jupyter Notebooks/Python scripts are available in relation to this project: COVID_Impact_TechnicalServices_HolisticAnalysis (a holistic analysis of all survey data) and COVID_Impact_TechnicalServices_LibraryTypeAnalysis (a clustered analysis of impact by library type, clustered files available as part of the Dataverse for this project)
COVID-19 Pandemic, 2020-; COVID-19 Pandemic, 2020---Influence; Library research; Technical services (Libraries)