Efficient extraction of JSON information in SAS using the SCANOVER function
JSON, otherwise known as JavaScript Object Notation, is a popular data interchange format which provides a humanreadable format. It is language independent and can be read easily in a variety of computer languages. With the riseof Twitter and other unstructured data, there has been a move to incorpo...
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sg-smu-ink.sis_research-53462019-05-23T03:38:43Z Efficient extraction of JSON information in SAS using the SCANOVER function CHOY, Murphy SHIM, Kyong Jin JSON, otherwise known as JavaScript Object Notation, is a popular data interchange format which provides a humanreadable format. It is language independent and can be read easily in a variety of computer languages. With the riseof Twitter and other unstructured data, there has been a move to incorporate such data as a way of disseminatinginformation. Twitter currently provides a simple API for users to extract tweets using JSON format. While SAS doesnot currently have a direct way of reading JSON, the SCANOVER function in SAS data step provides user with asimple and effective approach to getting JSON information into SAS datasets. In this paper, we will illustrate twoexamples using this technique. 2013-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4343 https://ink.library.smu.edu.sg/context/sis_research/article/5346/viewcontent/json.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Engineering Data Storage Systems |
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Computer Engineering Data Storage Systems CHOY, Murphy SHIM, Kyong Jin Efficient extraction of JSON information in SAS using the SCANOVER function |
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JSON, otherwise known as JavaScript Object Notation, is a popular data interchange format which provides a humanreadable format. It is language independent and can be read easily in a variety of computer languages. With the riseof Twitter and other unstructured data, there has been a move to incorporate such data as a way of disseminatinginformation. Twitter currently provides a simple API for users to extract tweets using JSON format. While SAS doesnot currently have a direct way of reading JSON, the SCANOVER function in SAS data step provides user with asimple and effective approach to getting JSON information into SAS datasets. In this paper, we will illustrate twoexamples using this technique. |
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CHOY, Murphy SHIM, Kyong Jin |
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CHOY, Murphy SHIM, Kyong Jin |
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CHOY, Murphy |
title |
Efficient extraction of JSON information in SAS using the SCANOVER function |
title_short |
Efficient extraction of JSON information in SAS using the SCANOVER function |
title_full |
Efficient extraction of JSON information in SAS using the SCANOVER function |
title_fullStr |
Efficient extraction of JSON information in SAS using the SCANOVER function |
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Efficient extraction of JSON information in SAS using the SCANOVER function |
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efficient extraction of json information in sas using the scanover function |
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Institutional Knowledge at Singapore Management University |
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2013 |
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https://ink.library.smu.edu.sg/sis_research/4343 https://ink.library.smu.edu.sg/context/sis_research/article/5346/viewcontent/json.pdf |
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