Data Visualization Parsing System for Machine-Readable Data Interpretation
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Solution Overview
Problem
Users face difficulties in interpreting and understanding machine-readable data from various sources, such as sensors, as it is not easily reviewable in human-readable formats, making it challenging to track changes across multiple data sets.
Innovation Solution
A data visualization and parsing system that allows users to select data items, identify their type, and generate visual representations, such as graphs, to facilitate understanding and analysis without requiring manual parsing code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is stored in machine-readable formats for processing, then processing efficiency is improved, but user interpretability deteriorates
Solution Approach 1:
The patent introduces an automated data parsing and visualization system that acts as an intermediary between machine-readable data and human users. The system automatically parses data streams, identifies data types and structures, and generates visual representations without requiring users to manually interpret machine-readable formats, thus resolving the contradiction between processing efficiency and user interpretability.
Solution Approach 2:
The patent creates visual copies and representations of machine-readable data that are easier for humans to interpret. By generating visualized data representations that mirror the underlying machine-readable data structure, the system allows users to understand data meaning without needing to process the original machine-readable format directly.
2Quantity of substance
If data streams contain multiple types and sources of data, then data comprehensiveness is improved, but user understanding deteriorates
Solution Approach 1:
The patent automatically segments complex data streams containing multiple data types and sources into distinct, identifiable components. The system parses the data stream to identify different data types, their structures, and relationships, then presents them in an organized manner that helps users understand the significance of particular portions without being overwhelmed by the diversity of data sources.
Solution Approach 2:
The automated parsing system serves as an intermediary that processes multi-source data streams and presents unified, understandable representations to users. It handles the complexity of multiple data types and sources internally while presenting simplified, contextualized information to users, resolving the contradiction between data comprehensiveness and user understanding.
3Measurement precision
If manual parsing is required to convert machine-readable data, then data accuracy is improved, but time consumption deteriorates
Solution Approach 1:
The patent implements an automated data parsing system that performs data conversion and interpretation without human intervention. The system automatically identifies data types, parses data structures, and generates visual representations, eliminating the need for manual parsing while maintaining accuracy through automated validation and type-checking mechanisms.
Solution Approach 2:
The system performs preliminary automated parsing and validation of data streams before user review, preparing data in an accurate and user-friendly format in advance. This preliminary automated processing eliminates the need for time-consuming manual parsing while ensuring data accuracy through automated error detection and type verification.
Data Source
AI summary
A user data visualization and parsing system may receive from a user a selection of a first data item from a data set, the data item associated with a location identifier. The data visualization and parsing system may extract a first value of the first data item associated with the location identifier and identify, in a second data set of the data stream, a second data item associated with the location identifier. The system may extract a second value of the second data item associated with the location identifier, generate a visual representation of the first and second values, and display the visual representation to the user through the user interface.