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2. Necessary condition analysis - Wikipedia

   en.wikipedia.org/wiki/Necessary_Condition_Analysis

   Necessary Condition Analysis (NCA) offers a nuanced perspective on data analysis by identifying conditions that must be present for a desired outcome to occur. However, its utility is bounded by several limitations that users must consider. Primarily, NCA's insights are limited by the quality and scope of the data used.

3. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Customers specifying requirements and analysts performing the data analysis may consider these messages during the course of the process. [49] Time-series: A single variable is captured over a period of time, such as the unemployment rate over a 10-year period. A line chart may be used to demonstrate the trend. [50]

4. Requirements analysis - Wikipedia

   en.wikipedia.org/wiki/Requirements_analysis

   In systems engineering and software engineering, requirements analysis focuses on the tasks that determine the needs or conditions to meet the new or altered product or project, taking account of the possibly conflicting requirements of the various stakeholders, analyzing, documenting, validating, and managing software or system requirements.

5. MoSCoW method - Wikipedia

   en.wikipedia.org/wiki/MoSCoW_method

   The MoSCoW method is a prioritization technique used in management, business analysis, project management, and software development to reach a common understanding with stakeholders on the importance they place on the delivery of each requirement; it is also known as MoSCoW prioritization or MoSCoW analysis.

6. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

7. Minimum information standard - Wikipedia

   en.wikipedia.org/wiki/Minimum_Information_Standard

   Minimum information standards typically have two parts. Firstly, there is a set of reporting requirements – typically presented as a table or a checklist. Secondly, there is a data format. Information about an experiment needs to be converted into the appropriate data format for it to be submitted to the relevant database.