View: |
Part 1: Document Description
|
Citation |
|
---|---|
Title: |
Python Codes for Data Analysis of The Impact of COVID-19 on Technical Services Units Survey Results |
Identification Number: |
doi:10.7910/DVN/SXMSDZ |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2022-03-21 |
Version: |
1 |
Bibliographic Citation: |
Szkirpan, Elizabeth, 2022, "Python Codes for Data Analysis of The Impact of COVID-19 on Technical Services Units Survey Results", https://doi.org/10.7910/DVN/SXMSDZ, Harvard Dataverse, V1 |
Citation |
|
Title: |
Python Codes for Data Analysis of The Impact of COVID-19 on Technical Services Units Survey Results |
Identification Number: |
doi:10.7910/DVN/SXMSDZ |
Authoring Entity: |
Szkirpan, Elizabeth (University of Tulsa) |
Distributor: |
Harvard Dataverse |
Access Authority: |
Szkirpan, Elizabeth |
Depositor: |
Szkirpan, Elizabeth |
Date of Deposit: |
2022-02-25 |
Holdings Information: |
https://doi.org/10.7910/DVN/SXMSDZ |
Study Scope |
|
Keywords: |
Social Sciences, Other, Social Sciences, Other, Technical services (Libraries), Library research, COVID-19 Pandemic, 2020-, COVID-19 Pandemic, 2020---Influence |
Abstract: |
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). |
Methodology and Processing |
|
Sources Statement |
|
Data Access |
|
Notes: |
CC0 Waiver |
Other Study Description Materials |
|
Label: |
COVID_Impact_TechnicalServices_HolisticAnalysis.ipynb |
Text: |
Data analysis based on holistic data from the clean version of "The Impact of COVID-19 on Library Technical Services Units" results. This file format is a Jupyter Notebook. |
Notes: |
application/x-ipynb+json |
Label: |
COVID_Impact_TechnicalServices_HolisticAnalysis.py |
Text: |
Data analysis based on holistic data from the clean version of "The Impact of COVID-19 on Library Technical Services Units" results. This file format is a Python script. |
Notes: |
text/x-python |
Label: |
COVID_Impact_TechnicalServices_LibraryTypeAnalysis.ipynb |
Text: |
Data analysis based on the clustered library type data from the clean version of "The Impact of COVID-19 on Library Technical Services Units" results. This file format is a Jupyter Notebook. |
Notes: |
application/x-ipynb+json |
Label: |
COVID_Impact_TechnicalServices_LibraryTypeAnalysis.py |
Text: |
Data analysis based on the clustered library type data from the clean version of "The Impact of COVID-19 on Library Technical Services Units" results. This file format is a Python script. |
Notes: |
text/x-python |