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https://hdl.handle.net/11681/34169
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DC Field | Value | Language |
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dc.contributor.author | Church, Joshua Q. | - |
dc.date.accessioned | 2019-09-24T19:26:21Z | - |
dc.date.available | 2019-09-24T19:26:21Z | - |
dc.date.issued | 2019-09 | - |
dc.identifier.govdoc | ERDC/ITL SR-19-18 | - |
dc.identifier.uri | https://hdl.handle.net/11681/34169 | - |
dc.identifier.uri | http://dx.doi.org/10.21079/11681/34169 | - |
dc.description | Special Report | - |
dc.description.abstract | The Engineered Resilient Systems (ERS) program focuses on the acquisition process for the Department of Defense (DoD). Within ERS, the Tradespace Analysis area has developed a web-based application called TradeAnalyzer, which allows users to apply various analysis techniques across their datasets. However, many customers across the DoD faced issues connecting to external sources. To mitigate this issue, ERS developed a local Python edition of the application called TradeAnalysis. TradeAnalysis enables the customer to perform high-fidelity tradespace analysis and generate visualizations in a local environment. This application allows users to quickly generate, export, and share offline, standalone, and custom visualizations to further assist the DoD acquisition process. This report will cover the required dependencies to run the TradeAnalysis application, the recommended software for Python package management, and a breakdown of the underlying code. | en_US |
dc.description.sponsorship | Engineered Resilient Systems Program (U.S.) | en_US |
dc.description.tableofcontents | Abstract ..................................................................................................................................................... ii Preface ...................................................................................................................................................... v Acronyms and Abbreviations .................................................................................................................. vi 1 Introduction ...................................................................................................................................... 1 1.1 Background ..................................................................................................................... 1 1.2 Objectives ........................................................................................................................ 1 1.3 Approach ......................................................................................................................... 1 1.4 Scope ............................................................................................................................... 1 2 Dependencies .................................................................................................................................. 2 2.1 Programming language .................................................................................................. 2 2.2 Python libraries ............................................................................................................... 2 2.3 Version control software (optional) ................................................................................ 3 2.4 Browsers .......................................................................................................................... 3 2.5 Recommended software ................................................................................................ 3 3 Installing Dependencies .................................................................................................................. 4 3.1 Verify Python is installed ................................................................................................ 4 3.2 For macOS or Linux ......................................................................................................... 4 3.3 For Windows .................................................................................................................... 5 3.4 Anaconda package management .................................................................................. 5 3.5 Pip package management ............................................................................................. 5 4 Starting the Application ................................................................................................................... 7 4.1 Download or clone the repository to your device .......................................................... 7 4.2 Start the flask server ...................................................................................................... 7 5 Application Overview ....................................................................................................................... 9 5.1 Available visualization types .......................................................................................... 9 5.2 Application folder structure ............................................................................................ 9 5.3 TradeAnalysis/graphs/ ................................................................................................. 10 5.4 TradeAnalysis/plot_modules/ ...................................................................................... 10 5.5 TradeAnalysis/static/ ................................................................................................... 11 5.6 TradeAnalysis/static/css/ ............................................................................................ 11 5.7 TradeAnalysis/static/js/ ............................................................................................... 11 5.8 TradeAnalysis/static/images/ ...................................................................................... 18 5.9 TradeAnalysis/static/templates/ ................................................................................. 18 5.10 TradeAnalysis/uploads/ ............................................................................................... 18 5.11 TradeAnalysis/.gitignore ............................................................................................... 19 5.12 TradeAnalysis/app.py ................................................................................................... 19 6 Conclusion...................................................................................................................................... 24 Report Documentation Page | - |
dc.format.extent | 33 pages / 1.079 Mb | - |
dc.format.medium | - | |
dc.language.iso | en_US | en_US |
dc.publisher | Information Technology Laboratory (U.S.) | en_US |
dc.publisher | Engineer Research and Development Center (U.S.) | - |
dc.relation.ispartofseries | Special Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL SR-19-18 | - |
dc.rights | Approved for Public Release; Distribution is Unlimited | - |
dc.source | This Digital Resource was created in Microsoft Word and Adobe Acrobat | - |
dc.subject | Systems engineering--Decision making | en_US |
dc.subject | Quantitative research | en_US |
dc.subject | Big data | en_US |
dc.subject | Computer programs | en_US |
dc.title | TradeAnalysis v1.1 technical guide | en_US |
dc.type | Report | en_US |
Appears in Collections: | Special Report |
Files in This Item:
File | Description | Size | Format | |
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ERDC-ITL SR-19-18.pdf | 1.11 MB | Adobe PDF | View/Open |