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Debrief and ArcGIS currently form the main tools to analyse Pepys data. But, they only handle spatial analysis. Pepys holds a lot of non-spatial data.
There is the option to introduce ASCII charting in Pepys-Admin (or Pepys-Viewer). But, modern browsers provide an opportunity for much more advanced rendering & interactions.
We have invested a lot of effort in the Python code used for management of Pepys data. Use of Python Flask means a browser-based front-end can be introduced which interacts with the existing Python code. Browser functionality will concentrate on data analysis & interactions, with the Python backend performing data handling.
鈽戯笍 Business impact
Efficiency of analysis
View data directly from the database, without needing to export to MS Excel
Develop set of plots & analysis products that can be automatically produced for engagements
Effectiveness of analysis
Correct adherence to units & data-types ensures consistency in outputs
Task-oriented interactions with data, exploiting the relationships already present in the data
Other
Ability to perform exploratory analysis of data received, including longitudinal analysis
鈽戯笍 Acceptance criteria
The text was updated successfully, but these errors were encountered:
馃挰 Brief description of feature
Debrief and ArcGIS currently form the main tools to analyse Pepys data. But, they only handle spatial analysis. Pepys holds a lot of non-spatial data.
There is the option to introduce ASCII charting in Pepys-Admin (or Pepys-Viewer). But, modern browsers provide an opportunity for much more advanced rendering & interactions.
We have invested a lot of effort in the Python code used for management of Pepys data. Use of Python
Flask
means a browser-based front-end can be introduced which interacts with the existing Python code. Browser functionality will concentrate on data analysis & interactions, with the Python backend performing data handling.鈽戯笍 Business impact
Efficiency of analysis
Effectiveness of analysis
Other
鈽戯笍 Acceptance criteria
The text was updated successfully, but these errors were encountered: