Author(s): Gencay I.

Originally published on Towards AI.

OpenAI has just released a new model.

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Many benchmarks show the model's intelligence and reasoning improve, and yes, that may be true. However, I need to see it applied in Data Analysis, as I will likely use it.To achieve this, we must divide Data Analysis into multiple parts, as we did in Data Science, starting with Data Exploration and progressing to Modeling.In this comprehensive article, we will go through every stage of Data Science in detail.

Photo by Dean Bennett on Unsplash

We will use this dataset from Kaggle; here is the link. This dataset contains information on player statistics for the 2023–2024 NBA playoffs.

To do that, you can use one of our pre-defined custom functions; check, please.

df.head()

Here is the output.

SS of the Output

As you can see from the output, the dataset contains several columns, which gives us a good starting point. However, let’s stop and give GPT-o1 a chance to perform these steps for us.

Data Exploration is the first step of Data Analysis. Don't skip this step to do better data analysis; build your model at once. If you skip this step, you… Read the full blog for free on Medium.

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Published via Towards AI