Some charts provide a comprehensive understanding of data, aiding in uncovering insights and guiding further analysis. Histograms, boxplots, and scatter plots are essential for finding insights in Exploratory Data Analysis (EDA).
Histograms display the distribution of a single variable, showing frequency across bins, which helps identify patterns like skewness or modality.
Scatter plots visualize relationships between two variables, revealing correlations, trends, and potential anomalies.
Boxplots summarize data distribution through quartiles, highlighting outliers and variability.
By applying these tools to your data, you can obtain quick insights into your dataset."
Histograms display the distribution of a single variable, showing frequency across bins, which helps identify patterns like skewness or modality.
Scatter plots visualize relationships between two variables, revealing correlations, trends, and potential anomalies.
Boxplots summarize data distribution through quartiles, highlighting outliers and variability.
By applying these tools to your data, you can obtain quick insights into your dataset."
Understanding Exploratory Data Analysis (EDA)
07/14/24 • 12 min
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