Topic 4: Data Collection Tools

The aforementioned methods constitute the general approaches to collect data. However, in order to narrow down their focus, scientists also use a collection of specific data tools. In this sense, what matters is not only ‘where’ the researcher looks. It also matters whether they use ‘a telescope’ or a ‘microscope’.

They are Programming Languages, which help analyze and visualize data. While Python has multiple uses and is object-oriented, making it versatile, R was created by statisticians for statistical models and analytics (IBM Cloud Team, 2021)

A software which allows the exchange of data and services related to data from one environment or digital tool to another. (Postman, 2023)

These tools can be used to remove, fix or adjust the format of data (Tableau, n.d.). They are essential for improving the quality of the existing material and making the transition of data from an API smoother.

It is a computing platform, capable of combining code, equations and visualizations.


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