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For example, census data may be aggregated into county districts, census tracts, postcode areas, police precincts, or any other arbitrary spatial partition. Thus the results of data aggregation are dependent on the mapmaker's choice of which "modifiable areal unit" to use in their analysis.
Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as:
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
Temporal Analyst is an extension for storage, management, processing, plotting and analysis of virtually any time-related data inside ArcGIS application and was developed by DHI. Temporal Analyst tool for GIS brings time series data management directly into ArcGIS and provides fully dynamic data handling, modeling and monitoring.
For example, a data analyst might analyze sales data to identify trends in customer behavior and make recommendations for marketing strategies. [37] Data science, on the other hand, is a more complex and iterative process that involves working with larger, more complex datasets that often require advanced computational