Exploratory Data Analysis
**Exploratory Data Analysis**
What is Exploratory Data Analysis?
Exploratory Data Analysis (EDA) is an approach for summarizing and visualizing the important characteristics of a data set. It's used to gain a basic understanding of the data's structure, identify outliers and anomalies, test underlying assumptions, and develop initial hypotheses. Common techniques include creating summary statistics (mean, median, standard deviation), generating visualizations (histograms, scatter plots, box plots), and performing correlation analysis. EDA helps in making informed decisions about data cleaning, transformation, and modeling.
What other technologies are related to Exploratory Data Analysis?
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