DATA MANAGEMENT & APPLICATIONS
2015 Traffic Fatalities
1 Table of Content
Table of Content
2 Group Deliverables
In this exercise, the team defines an analytical/predictive task as a problem statement using the chosen dataset. Then the team has to answer the following questions.
2.1 Problem Statement
Provide a description of your proposed problem statement in one sentence, limited to maximum 30 words. Example: Admission rate prediction to the emergency room of the St. Joseph hospital. [10/100]
2.2 Conceptual Model
Provide a diagram (schema) representing the conceptual model for addressing the proposed problem statement (must contain at least three dimension tables). The schema must include a placeholder for analytical/inference results. [10/100]
Provide the schema type, description, and the reasoning behind the proposed schema. [10/100]
2.2.3 DDL Scripts
Provide the SQL scripts for the definition of the fact table and the dimension tables, including the allocated placeholder for the analytical/inference results. [10/100]
2.2.4 ETL Process
Propose and describe a simple ETL process to populate a data cube suitable for the proposed project. [10/100]
2.2.5 ETL Scripts
Provide the SQL scripts for the proposed ETL process. [10/100]
2.3 Analytical/Predictive Model
Propose and discuss an analytical/predictive model to address the problem statement. Discuss the type of the model (e.g. supervised, unsupervised, classification, regression, etc.) and the reasoning behind this approach. [10/100]
2.3.2 Model Diagram
Provided a diagram visualizing inputs, steps, and outputs of the proposed model. [10/100]
2.3.3 Model Scripts
Provided the scripts for implementation of the proposed model (Must include scripts for querying the data, model, inserting results into the appropriate table(s)). [10/100]
Visualize analytical and inference results from the proposed model (at least three plots). [10/100]
3 Individual Deliverables
In this exercise, each team member individually proposes an extension of the group project. Then the individual has to answer the following questions.
3.1 Problem Statement
Provide a description of your proposed extension to the problem statement in the group project, limited to maximum 30 words. Example 1: Admission rate prediction to the emergency room of the St. Joseph hospital based on the accident data in the city. Example 2: Mortality rate prediction in the emergency room of the St. Joseph hospital. [10/90]
3.2 Conceptual Model
Provide a diagram (schema) representing the conceptual model for addressing the proposed problem statement (must contain at least one more dimension table than the original schema proposed in the group project). The schema must include a placeholder for analytical/inference results. [10/90]
Provide the schema type, description, and the reasoning behind the proposed schema. [10/90]
3.2.3 DDL Scripts
Provide the SQL scripts for the definition of the fact table and the dimension tables. [10/90]
3.2.4 ETL Process
Propose and describe a simple ETL process to populate a data cube suitable for the proposed project, including the allocated placeholder for the analytical/inference results. [10/90]
3.2.5 ETL Scripts
Provide the SQL scripts for the proposed ETL process. [10/90]
3.3 Analytical/Predictive Model
Propose and discuss an analytical/predictive model to address the proposed problem statement. Discuss the type of the model (e.g. supervised, unsupervised, classification, regression, etc.) and the reasoning behind this approach. [5/90]
3.3.2 Model Diagram
Provided a diagram visualizing inputs, steps, and outputs of the proposed model. [5/90]
3.3.3 Model Scripts
Provided the scripts for implementation of the proposed model (Must include scripts for querying the data, model, inserting results into the appropriate table(s)). [10/90]
Visualize analytical and inference results from the proposed model (at least three). [10/90]
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