What are some common techniques used in Exploratory Data Analysis (EDA)?
An example of an AI chatbot conversation about common techniques in Exploratory Data Analysis (EDA).
What are some common techniques used in Exploratory Data Analysis (EDA)?
Common techniques in EDA include data visualization, summary statistics, and correlation analysis.
Can you explain how data visualization helps in EDA?
Data visualization helps to identify patterns, trends, and outliers in the data, making it easier to understand.
What types of visualizations are most effective for EDA?
Effective visualizations for EDA include histograms, scatter plots, box plots, and heatmaps.
How do summary statistics contribute to EDA?
Summary statistics provide a quick overview of the data's central tendency, dispersion, and shape, aiding in initial insights.
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