Data is usually unstructured or semi-structured. To understand the data, We need to clean the data and take care missing values be it columns or rows and take appropriate action by replacing or dropping those NA values, Creating new features(Also called columns) from existing columns and weighing their correlation factor using statistics, Predicting a specific column with the existing columns using machine learning algorithms, etc.. which may vary depending on the use case.
When we make the data transformed from unstructured or semi-structured format to structured format it can then be used to bring out insights which is called as information.
What is data?
Scraping covid stats for a country or the world is called data
What is information?
Bringing out insights like how many cases are yet to occur considering the current rate of increase in cases is called information.
I hope it helps.
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