CSC/ECE 517 Fall 2017/E1790 Text metrics: Difference between revisions
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Currently, there are three models created to store the raw data from metrics source. (Metrics, Metric_data_points, Metric_data_point_types) | |||
===''Metric''=== | |||
====Model:==== | |||
[[File:Metrics_models.jpg ]] | |||
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====Schema:==== | |||
===''Metric_data_points''=== | |||
====Model:==== | |||
====Schema:==== | |||
===''Metric_data_point_types''=== | |||
====Model:==== | |||
====Schema:==== | |||
==Analysis of the Problem== | ==Analysis of the Problem== | ||
==Proposed Design== | ==Proposed Design== | ||
Revision as of 10:39, 13 November 2017
Introduction
In this final project “Text Metric”, first, we will integrate a couple of external sources such as Github, Trello to fetch information. Second, we will introduce the idea of "Readability." To get the level of readability, we will import the content of write-ups written by students, split the sentences to get the number of sentences, the number of words, etc., and then we calculate the indices by using these numbers and formulas.
Our primary task for the final project is to design tables which allow the Expertiza app to store data fetched from external sources, such as GitHub, Trello, and write-ups. For the next step, we would like to utilize this raw data for virtualized charts and grading metrics.
Current Design
Currently, there are three models created to store the raw data from metrics source. (Metrics, Metric_data_points, Metric_data_point_types)
Metric
Model:
