{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/70455"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/70455","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Analyzing and Manipulating Numeric Business Data: An Aid to Non-Expert Users (Spreadsheet Programs)","abstract":"In DSS, we need 'data manipulation' facilities which can satisfy the requirements of data transformation, and data restructuring or reconstruction. For this, we focused on the tabular form (TF) and found that the syntactic structure of the TF is closely related with the structure of data it contains; i.e., the structure of numeric data is mapped onto the TF. TF can be used for presentation, storage, representation, and manipulation, though it is used mostly for presentation. Currently, spreadsheet programs which are based on the tabular framework are widely used in business for manipulating numeric data. But they have barely touched the potential of TF. For example, in most of the operations, the target unit of operation is a cell, not a row or a column. To provide the casual business users with the operational power for data manipulation which is clearly lacking in current spreadsheet programs, we developed the Higher-level Tabular Data Operators (HTDOs). HTDOs are intended to be an enhancement to the existing spreadsheet programs. HTDOs can be used to perform operations on the sets of objects, such as a row or a column or even a whole table, rather than on a cell. HTDOs also support restructuring operations.","abstract_html":"In DSS, we need 'data manipulation' facilities which can satisfy the requirements of data transformation, and data restructuring or reconstruction. For this, we focused on the tabular form (TF) and found that the syntactic structure of the TF is closely related with the structure of data it contains; i.e., the structure of numeric data is mapped onto the TF. TF can be used for presentation, storage, representation, and manipulation, though it is used mostly for presentation. Currently, spreadsheet programs which are based on the tabular framework are widely used in business for manipulating numeric data. But they have barely touched the potential of TF. For example, in most of the operations, the target unit of operation is a cell, not a row or a column. To provide the casual business users with the operational power for data manipulation which is clearly lacking in current spreadsheet programs, we developed the Higher-level Tabular Data Operators (HTDOs). HTDOs are intended to be an enhancement to the existing spreadsheet programs. HTDOs can be used to perform operations on the sets of objects, such as a row or a column or even a whole table, rather than on a cell. HTDOs also support restructuring operations.","abstract_has_math":false,"creators":["Cho, Dongsung"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Business Administration","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-15T23:30:23Z","date_published":"2014-12-15T23:30:23Z","updated_at":"2026-07-22T22:26:02Z","subjects":["Business Administration, General"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(UMI)AAI8521741"],"render_values":[{"text":"(UMI)AAI8521741","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/70455","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Cho, Dongsung"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-12-15T23:30:23Z","10000-01-01","1985"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Business Administration"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Business Administration, General"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/70455","(UMI)AAI8521741"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["In DSS, we need 'data manipulation' facilities which can satisfy the requirements of data transformation, and data restructuring or reconstruction. For this, we focused on the tabular form (TF) and found that the syntactic structure of the TF is closely related with the structure of data it contains; i.e., the structure of numeric data is mapped onto the TF. TF can be used for presentation, storage, representation, and manipulation, though it is used mostly for presentation. Currently, spreadsheet programs which are based on the tabular framework are widely used in business for manipulating numeric data. But they have barely touched the potential of TF. For example, in most of the operations, the target unit of operation is a cell, not a row or a column. To provide the casual business users with the operational power for data manipulation which is clearly lacking in current spreadsheet programs, we developed the Higher-level Tabular Data Operators (HTDOs). HTDOs are intended to be an enhancement to the existing spreadsheet programs. HTDOs can be used to perform operations on the sets of objects, such as a row or a column or even a whole table, rather than on a cell. HTDOs also support restructuring operations.","Made available in DSpace on 2014-12-15T23:30:23Z (GMT). No. of bitstreams: 1 8521741.pdf: 7779387 bytes, checksum: 3c4708160560f6f9ecff1d1234298ea1 (MD5) Previous issue date: 1985","Embargo set by: Seth Robbins for item 70621 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","245 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985."]},{"key":"dc:title","label":"Title","values":["Analyzing and Manipulating Numeric Business Data: An Aid to Non-Expert Users (Spreadsheet Programs)"]}]}],"canonical_facts":{"dc:creator":["Cho, Dongsung"],"dc:date":["2014-12-15T23:30:23Z","10000-01-01","1985"],"dc:description":["In DSS, we need 'data manipulation' facilities which can satisfy the requirements of data transformation, and data restructuring or reconstruction. For this, we focused on the tabular form (TF) and found that the syntactic structure of the TF is closely related with the structure of data it contains; i.e., the structure of numeric data is mapped onto the TF. TF can be used for presentation, storage, representation, and manipulation, though it is used mostly for presentation. Currently, spreadsheet programs which are based on the tabular framework are widely used in business for manipulating numeric data. But they have barely touched the potential of TF. For example, in most of the operations, the target unit of operation is a cell, not a row or a column. To provide the casual business users with the operational power for data manipulation which is clearly lacking in current spreadsheet programs, we developed the Higher-level Tabular Data Operators (HTDOs). HTDOs are intended to be an enhancement to the existing spreadsheet programs. HTDOs can be used to perform operations on the sets of objects, such as a row or a column or even a whole table, rather than on a cell. HTDOs also support restructuring operations.","Made available in DSpace on 2014-12-15T23:30:23Z (GMT). No. of bitstreams: 1 8521741.pdf: 7779387 bytes, checksum: 3c4708160560f6f9ecff1d1234298ea1 (MD5) Previous issue date: 1985","Embargo set by: Seth Robbins for item 70621 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","245 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1985."],"dc:identifier":["http://hdl.handle.net/2142/70455","(UMI)AAI8521741"],"dc:subject":["Business Administration, General"],"dc:title":["Analyzing and Manipulating Numeric Business Data: An Aid to Non-Expert Users (Spreadsheet Programs)"],"dc:type":["text"],"thesis:degree_discipline":["Business Administration"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:02Z"}