Databases in Economic Analysis

A collection of organized and interrelated data that can be easily accessed, managed, and updated.

A structured format for storing data in a database, consisting of rows and columns.

The process of designing and creating a database, defining its structure and relationships.

Relationships between tables in a database, allowing data to be linked and accessed efficiently.

The process of ensuring data integrity and consistency within a database.

A system that ensures data security, preventing unauthorized access or modification.

The ability to efficiently query and retrieve specific data from a database.

The ability to add, update, or delete data in a database.

A type of database that stores information in tables with rows and columns.

A fundamental structure in a relational database that organizes data.

A row in a table, representing a single instance of an entity.

A column in a table, representing a specific attribute of an entity.

The process of connecting data from different tables based on shared information.

A collection of software tools that allow users to create, manage, and interact with databases.

A language used to interact with databases, enabling retrieval, modification, and manipulation of data.

A structured way to store and organize data related to markets, transactions, and financial records.

Combines data from two tables based on a common column.

Retrieve data from one or more tables based on specific conditions.

Add new rows of data to a table.

Modify existing data within a table.

Remove rows from a table based on certain criteria.

Adds a new column to an existing table.

Completely removes a table from the database.

Returns only matching rows from both tables based on a shared column.

Aggregations help summarize and analyze large datasets, deriving meaningful insights and performing calculations.

The WHERE clause lets you filter rows in a table based on specific conditions.

You can filter rows by comparing values to a specific number. For example: salary > 50000 finds all employees with salaries greater than 50,000.

You can filter by text using the = operator. For example: department = 'Sales' finds all employees in the Sales department.

You can combine multiple conditions using the AND and OR operators. For example: department = 'Sales' AND salary > 50000 finds Sales employees with salaries over 50,000.

SQL operators are used to manipulate and retrieve data from databases. They come in different types like arithmetic, comparison, and logical.

Arithmetic operators perform basic calculations like addition, subtraction, multiplication, and division.

Comparison operators compare values and can be used to filter data based on conditions like equality, greater than, less than, etc.

Analyzes data to summarize and describe key characteristics.

Examines how data changes over time, revealing patterns and trends.

Compares different groups, regions, or variables to identify similarities and differences.

A government agency providing comprehensive economic, demographic, and social data.

A ministry offering key financial statistics, including macroeconomic data, public finances, and labor market indicators.

The central bank of Spain that provides financial data, including interest rates and information about the Spanish financial system.

Provides high-quality statistics covering the entire European Union.

Offers free access to global development data, crucial for economic and financial analysis.

A free desktop application designed to create interactive reports and dashboards, using data from multiple sources, and establishing relationships between tables.

A cloud-based platform for sharing and collaborating on reports created in Power BI Desktop, offering real-time data updates and facilitating team work.

A platform that allows users to query data and retrieve specific information based on their requirements.

These databases allow for flexible data structures and can handle large volumes of data by distributing the load across multiple servers.

A feature of NoSQL databases that allows for dynamic modifications in the structure of the data.

NoSQL databases can handle vast amounts of data by dividing the workload amongst multiple servers, ensuring efficiency.

NoSQL databases can store various data types, including structured, semi-structured, and unstructured data.

Power BI is primarily used for data analysis and visualization, not for storing data, unlike traditional SQL databases.