Tabular Data
Non-spatial, descriptive information organized in rows and columns (tables),which can be linked to spatial features for enriched analysis.
What is the definition of Tabular Data?
Information arranged in a table format with rows and columns—each row denoting a record (or feature) and each column denoting an attribute (or variable)—is referred to as tabular data.
Tabular data is a structured dataset used in GIS and data analysis, where:
Individual records (such as cities, parcels, and highways) are represented by rows.
Columns are fields or attributes (e.g., name, area, and population).
Essential Features:
Formally organized: Sorting, filtering, and analyzing are simple.
In GIS, attribute data is frequently connected to spatial features.
CSV, Excel (.xls/.xlsx), DBF, and SQL tables are among the compatible formats.
Related Keywords
Like a table or spreadsheet, tabular data format arranges data into rows and columns. It is simple to compare, evaluate, and process data methodically since each row denotes a record or entry and each column denotes a certain property or variable.
Organized information that adheres to a present format and is simple for machines to read and comprehend is known as structured data. Database tables, spreadsheets with labelled columns, JSON or XML files, and schema markup on websites (such as product details, reviews, or event information) are typical examples. These formats facilitate the effective processing of data by analytics tools, apps, and search engines.
Comparing values across rows and columns is made simple by tabular data visualization, which displays information in an organized table format. It facilitates rapid analysis, pattern detection, and decision-making by clearly organizing data into cells.
A tabular dataset is an easily analysed and manipulable structured collection of data arranged in rows and columns. Data analysis tools can be easily integrated with tabular datasets that are available for download in CSV, Excel, or SQL formats from sources such as Kaggle, the UCI Machine Learning Repository, or government open data sites.