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This tutorial is a guideline which, as part of Wikipedia's Manual of Style, is intended to assist those creating data tables (or more often lists) in ensuring the content is accessible to all. Guidelines on this page are ordered primarily by priority, then difficulty.
Learn about the history, model, keys, relationships, transactions and operations of relational databases and database management systems (RDBMS). A relational database is a database based on the relational model of data, proposed by E. F. Codd in 1970.
Learn how to structure a relational database to reduce data redundancy and improve data integrity. Database normalization is a process of applying formal rules to organize columns and tables according to normal forms, from 1NF to 6NF.
Data cells should normally have plain unbolded text, and a lighter background. In the table below the data cell wikitext is on the same line as the row header wikitext. This causes the data cell backgrounds to be the same shade of gray as the column and row headers. It also makes the data cell text bold. See how to fix this after the table.
Learn the definition, properties and examples of third normal form (3NF), a database schema design approach that reduces data duplication and anomalies. Compare 3NF with Boyce–Codd normal form (BCNF) and see how to normalize a table.
Tables are a common way of displaying data. This tutorial provides a guide to making new tables and editing existing ones. For guidelines on when and how to use tables, see the Manual of Style. The easiest way to insert a new table is to use the editing toolbar that appears when you edit a page (see image above).
Learn how to use join clauses in SQL to combine columns from one or more tables into a new table. Compare different join types, such as cross join, inner join, left join, right join and full join, with examples and syntax.
A table is a collection of related data held in a table format within a database. Learn about the structure, properties, and types of tables in different database systems, such as relational, hierarchical, and flat file databases.