What is EDA in Python and how can I perform it?
An example of an AI chatbot conversation about exploratory data analysis in Python.
What is EDA in Python and how can I perform it?
EDA stands for Exploratory Data Analysis. It's a crucial step in data analysis where you summarize the main characteristics of a dataset, often using visual methods.
What libraries should I use for EDA in Python?
You can use libraries like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and NumPy for numerical operations.
Can you give me an example of EDA using Pandas?
Sure! First, load your dataset using pd.read_csv(), then use df.describe() for summary statistics and df.isnull().sum() to check for missing values.
How do I visualize data distributions in Python?
You can use Seaborn's sns.histplot() for histograms or sns.boxplot() for box plots to visualize data distributions.
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