What Is Data SGP?
In the world of data analytics, the term “big data” refers to datasets that are so large that they cannot be managed with traditional software applications. In contrast, the work that SGP performs is on the smaller side of the big data spectrum. It requires a substantial amount of data in order to answer scientific questions but, by comparison with an analysis of global Facebook interactions, it is still relatively small potatoes.
The SGP project aims to access and integrate large amounts of legacy data that would not otherwise be accessible. This access will allow researchers to explore and answer questions about Earth history that are not currently addressed by other data sets. Ultimately, this work will lead to the migration of this data to permanent data repositories where it can be accessed by other scientists.
Level 3 Requirement: A generic term covering the functional and performance requirements that define a system as a “system.” For the SGP, this includes all the elements necessary to meet the science objectives of the mission. This includes all the hardware, instruments, operations concepts, supportability concepts and logistics (acquisition, supply distribution, maintenance, operations, transportation and disposal) required to operate the system.
Operation Concept: The concept that defines how the mission will be verified, implemented at the SGP sites, commissioned and operated as it transitions to operations. This includes all the engineering activities and analyses associated with design requirements definition, material procurement and distribution, characterization/testing, operation control centers, transportation and telemetry.
Data Preparation: The process of collecting, cleaning and normalizing the data for use in analysis. This step is critical in ensuring that the resulting analysis is accurate and reliable. This activity also involves ensuring that the data is organized in a manner that is easily accessible to analysts and end users.
Analyses: The process of examining the collected data and using it to determine how well a system is performing or how much growth is needed to reach a desired target. This process can include a variety of statistical techniques, including regression, correlation and data visualization.
Statistical Approaches: Statistical approaches to Data Sgp can help make the process of analyzing lottery data more structured and more engaging for players. These tools can also help players find patterns in past results and provide more insight into what kinds of outcomes they might see in future games.
The SGP package includes exemplar WIDE and LONG formatted data sets that can be used in SGP analyses. The sgpData_LONG data set is an anonymized, panel data set consisting of 8 windows (3 windows annually) of assessment data in long format for three content areas. The first column of the sgpData_LONG data, ID, provides each student with a unique identifier. The next 5 columns, SS_2013, SS_2014, SS_2015, and SS_2016 provide the scale scores that are associated with each student’s assessment record. The final column, SS_2017, provides each student with a current SGP score that compares them to their peers and is used for running Student Growth Projection/Trajectories.