OLAP (Online Analytical Processing)
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There are various programs available that can analyze data and provide summarization. Some popular ones include Microsoft Excel, Tableau, and Python with libraries such as pandas and numpy. These programs can perform tasks like data cleaning, filtering, aggregation, and visualization to extract meaningful insights and present information in a summarized format.
A geographic information system (GIS) uses data visualization technology to analyze and display data on digitized maps. GIS enables users to capture, store, manipulate, analyze, and present spatial or geographic data for various applications such as urban planning, resource management, and emergency response.
A data analysis tool, such as Microsoft Excel or Google Sheets, can help you organize and analyze data effectively. Additionally, using search engines like Google or databases like PubMed can assist in finding information collected by others.
Primary sources provide firsthand information or data, created at the time of the event being studied. Examples include diaries, speeches, interviews, and original research studies. Secondary sources analyze, interpret, or summarize information from primary sources. Examples include books, review articles, and documentaries.
A database management system (DBMS) is used to store, retrieve, analyze, and print information stored in a database. It provides functionalities to efficiently manage data, ensure data integrity, and support various operations such as querying and reporting on the data stored in the database.
Tertiary data sources compile and summarize information from primary and secondary sources. They do not involve original data collection or analysis, but instead provide an overview or interpretation of existing data. Tertiary sources are often used for background information or to gain a broad understanding of a topic.