Introduction to the Use Case Structure
Aralia Use Case: SDGs Inclusive Growth
Aralia Use Case: Public Works Bid Management and Risk Alert System
Aralia Use Case: Cabbage Supply and Demand Imbalance Analysis
Data Source Names and Links
| Name of Data | Source | Description | Remarks |
|---|---|---|---|
| Malaysia Annual Real GDP | SDG Planet | GDP growth rate by state, at purchaser prices | Includes state level data for 2015-2019 |
| Malaysia Poverty Dataset | SDG Planet | Relative Poverty Rate by State | Includes data for 2016 and 2019 |
| Malaysia Population Dataset | SDG Planet | Population by state | For crime rate calculation, please note that population is in thousands. |
| Malaysia Property Crime Dataset | SDG Planet | Property Crime by State | Filter for "Property Crime" category. |
| Malaysia Household Income by State | SDG Planet | Median and Average Household Income by State | Either median or average can be used |
Data Fields and Format
Update Frequency
Is pre-processing performed? How do you handle missing values or merging of fields?
User's Operation Workflow:
Step 1: Browse Data Profile

Step 2: Create Basic Chart (Data Exploration)

Step 3: Transplore

Step 4: Using the Analytics Panel

Step 5: Create Line Chart

Step 6: Create and visit a Data Landmark

Step 7: Additional Exercise: Calculating Property Crime
Enter from Income Dataset, transplore to Crime Dataset + Population Dataset.
Get data across planets:
Property Crimes by State (Category: Property)
Population by State

Analytics Panel:
Calculate the formula:
Property Crime Rate = (Number of Property Crimes / Population in Thousands) × 1000
(Crime itself is a relatively small number of events, so using only "per 1,000" or "per 10,000" would be too small and unintuitive. Using "per 100,000 population" usually yields a number in the tens to hundreds, which is easy to interpret and compare.)
Creating a graph of crime rates

