Exploratory Data Analysis
Exploratory Data Analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. EDA is used to understand the underlying patterns, relationships, and trends in the data. It involves identifying the distribution of the data, detecting outliers and anomalies, and examining the relationships between variables. EDA is often the first step in the data analysis process, as it helps to identify potential problems with the data and to formulate hypotheses for further analysis. EDA can be performed using a variety of statistical and visualization techniques, such as histograms, scatter plots, box plots, and heat maps.
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