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Exploratory Data Analysis (EDA) is a way of learning about data through visual summaries and graphics rather than just following a set of rules.
Think of EDA as a treasure hunt! You have a map with a bunch of clues, but you don’t know exactly where the treasure is. EDA is like using clues to determine where the treasure is hidden in your data.
How is EDA different from the scientific process?
When scientists conduct experiments, they usually have a hypothesis that they want to test. They design an experiment to prove or disprove their hypothesis. EDA is more about exploring the data to see what patterns and relationships you can find. It’s like looking at a picture and trying to figure out what’s going on.
How is EDA different from statistical modeling?
Statistical modeling involves using a small sample of data to make predictions about a larger group. EDA is more like looking at the data as a whole to see what’s happening. It’s like looking at a jigsaw puzzle and trying to figure out how all the pieces fit together.
How is EDA different from data storytelling?
Data storytelling involves taking complex data and presenting it in a way that is easy to understand and engaging for the audience. Conversely, EDA is all about exploring the data for yourself and trying to uncover interesting features and relationships.
In conclusion, EDA is a fun and creative way to explore data. It’s different from the scientific process, statistical modeling, and data storytelling because it’s more about exploring and experimenting than testing and explaining. So, next time you’re faced with a big data set, remember to use your EDA skills and see what interesting insights you can uncover!