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Part 1: Document Description
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Citation |
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Title: |
Shopper traffic data |
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Identification Number: |
doi:10.21979/N9/AMALLA |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2022-05-05 |
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Version: |
1 |
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Bibliographic Citation: |
Chen, Chien-Ming, 2022, "Shopper traffic data", https://doi.org/10.21979/N9/AMALLA, DR-NTU (Data), V1, UNF:6:1SCCyG9dWJ7A5Ov/y0DVyw== [fileUNF] |
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Citation |
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Title: |
Shopper traffic data |
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Identification Number: |
doi:10.21979/N9/AMALLA |
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Authoring Entity: |
Chen, Chien-Ming (Nanyang Technological University) |
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Software used in Production: |
Stata |
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Grant Number: |
RG52/20 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Chen, Chien-Ming |
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Depositor: |
Chen, Chien-Ming |
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Date of Deposit: |
2022-05-05 |
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Holdings Information: |
https://doi.org/10.21979/N9/AMALLA |
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Study Scope |
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Keywords: |
Business and Management, Business and Management, retail, operations management |
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Abstract: |
Shopper's traffic data used in the project "Retail Productivity: An Interdisciplinary View" |
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Kind of Data: |
Aggregate data at the store-hour level |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
The data contain business confidential data that the companies do not want to make public |
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Other Study Description Materials |
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File Description--f88201 |
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File: traffic.tab |
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Notes: |
UNF:6:1SCCyG9dWJ7A5Ov/y0DVyw== |
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Label: |
Retail Analysis.do |
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Text: |
Stata do file to analyze the data |
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Notes: |
application/x-stata-syntax |