What does the unique identifier "tgd170.fdm.97" signify? This code likely represents a specific data point or record within a larger dataset.
The string "tgd170.fdm.97" appears to be a structured identifier, likely from a database or a system for categorizing and managing information. The constituent parts "tgd170", "fdm", and "97" suggest a hierarchical or segmented structure, potentially representing different facets of the data record. For example, "tgd170" might refer to a particular type of item, "fdm" could indicate a specific field or data category, and "97" might denote a unique instance or record number. Without further context, determining the exact meaning of each segment is impossible.
The significance of this identifier depends heavily on the context in which it's used. It could be a reference within a scientific study, a business document, or a technological application. Understanding the system or database in which this identifier exists is key to fully grasping its implications. In a medical context, it might identify a specific patient's medical record or a particular piece of research data. In a technical field, it could represent a piece of software code. Determining the system's scope is crucial for interpreting the identifier's importance.
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To proceed with analysis, a deeper understanding of the source system or database is needed. Information about the data structure, fields, and underlying processes is vital for comprehending the value of the identifier "tgd170.fdm.97." This will help to elucidate its context and potential relevance to specific research questions or tasks.
tgd170.fdm.97
Understanding the components and context of "tgd170.fdm.97" is crucial for interpreting its significance within a specific system. This structured identifier likely represents a unique data point or record, but its precise meaning depends on the underlying data model.
- Data point
- Record identifier
- Categorical code
- Data segment
- Hierarchical level
- Unique reference
- Database entry
The identifier "tgd170.fdm.97" functions as a reference within a larger data structure. "tgd170" might categorize the data type, "fdm" a specific field, and "97" a unique instance. For example, in a medical database, "tgd170" could represent a patient's diagnosis, "fdm" the diagnostic code category, and "97" a unique patient record matching that category. Understanding the hierarchical structure, like nested folders in a file system, illuminates the identifier's function as a key for retrieval or analysis. Recognizing these facets allows for efficient data extraction and analysis within the relevant dataset.
1. Data point
A data point represents a single piece of information within a larger dataset. In the context of "tgd170.fdm.97," this single piece of information is likely part of a structured system. Understanding the nature of this data point is essential to interpreting the meaning of the full identifier.
- Role in a Structured System
A data point contributes to the overall meaning and analysis potential of a dataset. Within the identifier "tgd170.fdm.97," each segment likely contributes to a specific characteristic or attribute. For instance, "tgd170" might represent a category, "fdm" a sub-category, and "97" a specific instance or value within that sub-category. Each individual data point is crucial for the integrity of the whole system.
- Connection to "tgd170.fdm.97"
The identifier "tgd170.fdm.97" likely comprises multiple data points, each defining a particular aspect of the data entry. The component "tgd170" could denote a specific data type or category; "fdm" might represent a sub-grouping within "tgd170"; and "97" could be the unique instance or numerical value of that entry. These different facets define the data points position and meaning.
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- Real-World Analogy
Consider a library catalog. Each book entry is a data point. The author, title, ISBN, and classification number are various data points that define the book's identity and location within the system. Similarly, in "tgd170.fdm.97," each segment likely contributes to specifying a unique item or record.
- Implication of Missing Context
Without the context of the system, determining the precise meaning of "tgd170.fdm.97" and its data point components is difficult. Knowing the database or system where the identifier resides is crucial for interpreting the specifics of each data point, and how it contributes to the overall structure.
In summary, the data point is fundamental to understanding the structured identifier "tgd170.fdm.97." The significance of each component hinges on its role within the larger system. Further analysis necessitates knowledge of the overarching system to decipher the precise nature of each data point and its contribution to the overall dataset.
2. Record identifier
A record identifier serves as a unique key to locate and retrieve specific data within a larger dataset. In the context of "tgd170.fdm.97," this identifier likely plays a crucial role in accessing a particular record or entry. Understanding its components and function is essential to interpreting the data contained within the record itself.
- Uniqueness and Retrieval
A fundamental aspect of a record identifier is its uniqueness. Each identifier must unequivocally point to a single record, preventing ambiguity and ensuring accurate data retrieval. "tgd170.fdm.97" likely fulfills this role within its specific system, serving as a key to locate the associated data.
- Hierarchical Structure
The structure of the identifier, "tgd170.fdm.97," suggests a hierarchical organization. Potentially, "tgd170" represents a high-level category or dataset, "fdm" a sub-category, and "97" an individual record within that sub-category. This hierarchical arrangement improves organization and data management.
- Data Integrity
A well-designed record identifier ensures data integrity. The unique nature of the identifier directly supports maintaining accuracy and preventing errors. It safeguards the data, preventing conflicts when referencing or updating information.
- Contextual Meaning
The meaning of "tgd170.fdm.97" is contingent upon the specific system or database it's associated with. Without context, the individual components ("tgd170," "fdm," and "97") remain uninterpretable. This underscores the importance of knowing the system's structure.
In conclusion, "tgd170.fdm.97," as a record identifier, facilitates efficient access to specific data points within a structured system. Its hierarchical structure and unique identification characteristics enable accurate retrieval. Further analysis requires a full understanding of the data's context. Without this context, the precise meaning remains elusive.
3. Categorical code
A categorical code is a system of classification used to organize and categorize data. In the context of "tgd170.fdm.97," the components likely function as parts of a categorical coding system. "tgd170" could represent a high-level category, "fdm" a sub-category, and "97" a specific instance or code within that sub-category. This structure allows for efficient organization and retrieval of data points within a larger dataset.
The importance of categorical codes lies in their ability to structure data in a meaningful way. Consider a database of medical records. Categorical codes could organize data points by diagnosis (e.g., "tgd170" for respiratory illnesses), specific types of diagnoses (e.g., "fdm" for acute bronchitis), and individual cases (e.g., "97" for a particular patient's record matching that diagnostic category). This structured approach enhances data analysis and facilitates the retrieval of relevant information. Without this hierarchical categorization, the dataset would be a less manageable collection of unrelated data points, hindering effective analysis. The use of categorical codes is prevalent across various fields, including scientific research, business intelligence, and data management.
In conclusion, the component "tgd170.fdm.97" is likely a manifestation of a categorical coding scheme. The structure implies a system of categorization used for classifying and organizing data. The effectiveness of data analysis depends critically on the clarity and appropriateness of the chosen categorical code. Without a clear and comprehensive understanding of the categorical system, "tgd170.fdm.97" remains an opaque identifier. This underlines the significance of understanding the context of the categorical system for effective data interpretation and application.
4. Data segment
The term "data segment" refers to a discrete portion or component of a larger dataset. In the context of "tgd170.fdm.97," the identifier's structure suggests a segmentation of data. Understanding the specific nature of these segments provides critical insight into the data's organization, retrieval methods, and potential use.
- Hierarchical Organization
The dot-separated format ("tgd170.fdm.97") implies a hierarchical arrangement of data. "tgd170" likely represents a high-level category, "fdm" a subcategory, and "97" a particular instance within that subcategory. This segmentation facilitates the management and retrieval of specific data elements. For instance, "tgd170" could represent a type of product, "fdm" a particular feature of that product, and "97" a unique identifier for that product's instance.
- Data Granularity
The segmentation in "tgd170.fdm.97" impacts the level of granularity of data accessible. A coarser segmentation (fewer segments) provides a broader view of the data, while a finer segmentation (more segments) permits a deeper level of analysis by isolating specific details. If "tgd170" were a broad patient category, "fdm" a specific diagnostic subcategory, and "97" a unique patient ID, the resulting segments would pinpoint a specific patient with a particular diagnosis.
- Retrieval Efficiency
Well-defined segments within an identifier allow for more efficient retrieval and querying of the associated data. Knowing the meaning and structure of each segment empowers systems to filter and locate specific data rapidly. The identifier "tgd170.fdm.97" serves as a key within this system, allowing rapid location and retrieval of the data associated with it.
- Data Integrity and Validation
A segmented identifier can be instrumental in validating the integrity of the data. Checks can be performed on each segment, ensuring data correctness. For instance, within a financial system, different segments could validate product type, payment method, and transaction amount, providing a mechanism for catching errors and maintaining data integrity. Similarly, "tgd170.fdm.97" can be interpreted as a validation mechanism.
In summary, "tgd170.fdm.97" exemplifies how data segments play a vital role in organizing and retrieving data. The hierarchical structure and the granular nature of each segment streamline data analysis. Understanding these segments is critical for interpretation, ensuring data accuracy, and facilitating efficient access to relevant information. The specific meaning of each segment, however, remains dependent on the underlying system and its organizational structure.
5. Hierarchical Level
The structure of "tgd170.fdm.97" implicitly reflects a hierarchical level within a larger data system. The segmented format suggests nested categories, each component contributing to a progressively detailed classification. Understanding this hierarchical organization is crucial for interpreting the identifier's meaning and accessing related data.
- High-Level Category
The initial segment, "tgd170," likely represents a high-level category or broad classification. This segment broadly defines the general context of the data. In a scientific dataset, "tgd170" might represent a specific biological process, a disease category, or a research theme. This top-level grouping isolates a significant portion of the overall dataset.
- Sub-category Specification
The next segment, "fdm," represents a more specific sub-category within "tgd170." It refines the initial classification. This could be a particular aspect of the biological process or a more precise subtype of the disease. The "fdm" segment narrows the scope of the dataset to a more focused group of related data.
- Unique Instance Identification
The final segment, "97," identifies a unique instance or specific record within the "fdm" subcategory. This unique designation allows for the precise retrieval of a single data point. Within a medical database, "97" might represent a patient ID or a specific experimental trial.
- Data Retrieval and Analysis
The hierarchical structure of the identifier facilitates efficient data retrieval and analysis. The system can quickly locate data related to a specific high-level concept (tgd170), then narrow to a subcategory (fdm), and finally isolate a particular instance (97). This structured approach optimizes data management and supports targeted analysis.
In conclusion, the hierarchical structure inherent in "tgd170.fdm.97" is critical for understanding the identifier's function within a larger dataset. The levels of categorization allow for a controlled organization, focused retrieval, and enhanced analytic capabilities. The hierarchical nature enables a more focused, specific approach for researchers, analysts, or data management professionals dealing with complex datasets. Properly interpreting this hierarchical representation of data segments is fundamental for effective utilization of the identifier in the relevant system.
6. Unique reference
The identifier "tgd170.fdm.97" likely functions as a unique reference within a specific data management system. A unique reference unequivocally identifies a single data record or item, distinguishing it from all others. This characteristic is essential for maintaining data integrity and facilitating accurate retrieval.
- Uniqueness and Distinctiveness
A fundamental aspect of a unique reference is its ability to identify a single, specific entity. This attribute is crucial for preventing ambiguity and ensuring data consistency. Within a database, "tgd170.fdm.97" likely serves as this unique identifier, pointing to a particular record or entry. Duplicate unique references compromise data integrity, leading to errors and inconsistencies.
- Data Retrieval and Access
Unique references are critical for retrieving specific data records. When coupled with an appropriate data management system, they facilitate the location and access of desired information with precision. "tgd170.fdm.97" acts as a key in this system, directing access to a unique set of data elements.
- Data Integrity and Validation
Unique references are integral to data integrity. Their inherent uniqueness helps validate data accuracy and prevent errors. A robust validation process utilizing this identifier ensures data integrity and avoids unintentional modifications or conflicts. Systems can use this to detect and manage duplicate records or entries.
- Contextual Dependence
The meaning of "tgd170.fdm.97" as a unique reference is entirely dependent on the context of the data system it belongs to. Without this context, determining its precise function is impossible. For example, in a medical database, it might represent a patient record; in a product catalog, it might uniquely identify a particular item. The underlying structure of the system dictates how this reference is interpreted.
In conclusion, the functionality of "tgd170.fdm.97" as a unique reference hinges on the precise context of the data system it resides in. Its unique identification characteristic is vital for data integrity and accurate retrieval. The meaning and implications of this reference are inextricably tied to the system's specific structure and the data it manages.
7. Database entry
The string "tgd170.fdm.97" likely designates a specific database entry. This structured identifier functions as a unique key, referencing a particular record within a larger dataset. A database entry encompasses various data elements, each component contributing to the comprehensive description of the referenced item. The identifier's segments ("tgd170," "fdm," and "97") likely correspond to distinct attributes or fields within the database record. For example, "tgd170" might categorize the entry, "fdm" a specific characteristic within that category, and "97" a unique identifier for that specific instance.
Understanding the connection between "tgd170.fdm.97" and the database entry is crucial for data retrieval and analysis. Without this understanding, navigating the database and extracting relevant information becomes significantly more complex and time-consuming. Consider a medical database: "tgd170" might represent a disease category, "fdm" a specific diagnostic code within that category, and "97" a unique patient identifier matching that diagnostic code. Precisely locating this patient's record within the system hinges on recognizing the relationship between the identifier and the database's internal structure. Likewise, in a product inventory system, similar logical segmentation enables efficient search and retrieval of specific products.
In summary, "tgd170.fdm.97" acts as a structured key to a specific database entry. This relationship enables efficient data retrieval, supporting analyses, and enabling the extraction of pertinent information. Knowledge of the underlying database structure and the meaning of each segment in the identifier is critical for accurate interpretation and utilization of the data. Without this fundamental connection, the information contained within the entry remains inaccessible or requires significant effort to locate. This principle holds true across diverse applications, demonstrating the importance of understanding how identifiers relate to structured data storage.
Frequently Asked Questions about "tgd170.fdm.97"
This section addresses common inquiries regarding the identifier "tgd170.fdm.97." Understanding this code's structure and function is crucial for effective data interpretation within the relevant system.
Question 1: What does "tgd170.fdm.97" represent?
This identifier is likely a structured code within a database or data management system. The specific meaning of each segment ("tgd170," "fdm," and "97") depends on the underlying system's design and structure. Without context, the precise representation of each segment remains unknown.
Question 2: How does this identifier relate to a larger dataset?
The identifier functions as a unique key to locate a specific record or entry within a larger dataset. It's crucial for efficient data retrieval, access, and subsequent analysis. The segmented structure likely signifies hierarchical categorization, allowing for targeted searches and retrieval.
Question 3: What is the significance of the hierarchical structure?
The hierarchical structure, indicated by the dots separating the segments, allows for a systematic organization of data. This facilitates retrieval by successively narrowing down categories from broad classifications to specific instances. For example, "tgd170" might represent a general category, "fdm" a specific sub-category, and "97" a unique item within that sub-category.
Question 4: How is this identifier used in data analysis?
The identifier serves as a key for accessing specific data points within the relevant database. This allows for focused analysis and targeted querying. Analysts can use this identifier to extract, filter, and process pertinent information, enabling efficient interpretation of the data.
Question 5: What is required to fully understand this identifier?
Full comprehension of "tgd170.fdm.97" requires knowledge of the data management system in which it's used. Understanding the meaning of each segment within that specific system is essential. Knowing the data model, schema, and the context of the overall dataset are key to decoding this unique code.
In summary, "tgd170.fdm.97" represents a structured identifier likely used for data retrieval and analysis within a specific system. Its hierarchical structure and unique characteristic allow for precise targeting within larger datasets. Understanding the data model is critical for complete interpretation.
Transitioning to the next section, we will explore the practical application of this identifier within various contexts.
Conclusion
The exploration of "tgd170.fdm.97" reveals a structured identifier likely employed within a specific data management system. The segmented format ("tgd170.fdm.97") suggests a hierarchical organization, enabling targeted access to particular data records or entries. The identifier's components likely represent hierarchical categories, ranging from broad classifications to unique instances, facilitating focused data retrieval and analysis. Crucially, the meaning of each segment hinges on the context of the specific system. Without this contextual understanding, interpretations remain ambiguous, emphasizing the importance of recognizing the underlying data model.
This analysis underscores the significance of comprehensive understanding when dealing with structured identifiers. Precisely interpreting such codes is fundamental for accurate data retrieval and meaningful analysis. Future endeavors in utilizing similar identifiers should prioritize acquiring context. Understanding the system's design and data organization is essential for effective interpretation and the responsible extraction of meaningful insights from the underlying data. Without this context, a seemingly straightforward identifier like "tgd170.fdm.97" remains indecipherable, highlighting the crucial role of context in data interpretation.
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