Predictive modeling: Task: Ambulance Demand using data collected by the NYC Traffic Data Data Generating Process: Using the service data: The data is collected by the "NYC FDNY Emergency Medical Services Ambulance calls data” to answer the questions: Frequency of data collection {how often is the data collected? After every incident? Daily? Yearly?} Agency / Organization collecting the data {who specifically is collecting the data? Please avoid using general references like “government” or “police} Original Unit of Analysis {What is the original unit of analysis for the data as provided? Calls for service? Census tracts? Cities?} Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.} Data Generation Description{here, I want you in your own words to describe how you think the data was generated. Think 2-3 sentences.} Data Collector{Who collects the data? A dispatcher? A Census taker?} Triggering Process{What triggers the data to be collected? A call for service? A yearly survey process?} Process Alignment{What system captures the data? Is it hand entered? What existing business process does the data align with [i.e. data on ATM transactions come from someone using an ATM; data from calls for service come from dispatch records for calls coming in to 911, etc.]?}
Predictive modeling:
Task: Ambulance Demand using data collected by the NYC Traffic Data
Data Generating Process: Using the service data: The data is collected by the "NYC FDNY Emergency Medical Services Ambulance calls data” to answer the questions:
Frequency of data collection {how often is the data collected? After every incident? Daily? Yearly?}
Agency / Organization collecting the data {who specifically is collecting the data? Please avoid using general references like “government” or “police}
Original Unit of Analysis {What is the original unit of analysis for the data as provided? Calls for service? Census tracts? Cities?}
Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.}
Data Generation Description{here, I want you in your own words to describe how you think the data was generated. Think 2-3 sentences.}
Data Collector{Who collects the data? A dispatcher? A Census taker?}
Triggering Process{What triggers the data to be collected? A call for service? A yearly survey process?}
Process Alignment{What system captures the data? Is it hand entered? What existing business process does the data align with [i.e. data on ATM transactions come from someone using an ATM; data from calls for service come from dispatch records for calls coming in to 911, etc.]?}
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Predictive modeling:
Task: Ambulance Demand using data collected by the "NYC FDNY Emergency Medical Services Ambulance calls data”
Data Generating Process: Using the service data: The data is collected by the "NYC FDNY Emergency Medical Services Ambulance calls data” to answer the questions:
Frequency of data collection {how often is the data collected? After every incident? Daily? Yearly?}
Agency / Organization collecting the data {who specifically is collecting the data? Please avoid using general references like “government” or “police}
Original Unit of Analysis {What is the original unit of analysis for the data as provided? Calls for service? Census tracts? Cities?}
Transformed Unit of Analysis{i.e. are you modifying the call data to support your model? Hint: if you are doing “demand” model you will be aggregating the data.}
Data Generation Description{here, I want you in your own words to describe how you think the data was generated. Think 2-3 sentences.}
Data Collector{Who collects the data? A dispatcher? A Census taker?}
Triggering Process{What triggers the data to be collected? A call for service? A yearly survey process?}
Process Alignment{What system captures the data? Is it hand entered? What existing business process does the data align with [i.e. data on ATM transactions come from someone using an ATM; data from calls for service come from dispatch records for calls coming in to 911, etc.]?}
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