Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

Forbes contributors publish independent expert analyses and insights. This article is more than 6 years old. The two terms data analysis and data visualization seem to have become synonymous in ...

Data analysis: Once data is cleaned, it is analyzed to look for data patterns, trends and relationships. Analysts should try to spot opportunities and risks in the data at this time.

Users must take responsibility for curating the data themselves before any analysis takes place and ensuring it’s of good quality before storing it in this format. Size: All data up to petabytes of ...

Techniques: Big data utilises technologies like Hadoop and Spark for processing large data sets, while data analytics and data science employ statistical analysis and various analytical techniques.

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Key Points Discrete data is qualitative data. Continuous data is quantitative data. Simply put, discrete values ...