I know a wide range of tools are available for data analytics, imputation and visualisation. I would love to hear the experience of others on the best tools for analysing large volumes of data and extracting meanings, trends and insights from raw data.
I am also very interested to hear any experiences of tools and software used to deal with missing data.
Any comments greatly appreciated.
Several tools are available for data analysis. The question of the best tool for data analysis is not valid. Because, tool depends upon the objective of analysis and type of data available.
Statistical reasoning, experience, and continued learning.
There's a laundry list of analytical tools to help handle and interpret data (big and small), but the data analyst must be the one to make choices about which tools to use and why. At least until we develop the AI...
P.S. I prefer R statistical environment and language and a small fraction of the many packages within the RStudio IDE; there are others (e.g., Python) that are excellent also.
Caleb Aldridge is correct.
I also passed similar view in my answer.
Thanks to Caleb Aldridge.
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