[null,null,["最終更新日 2025-02-26 UTC。"],[[["Before creating feature vectors, it is crucial to analyze numerical data by visualizing it through plots and graphs and calculating basic statistics like mean, median, and standard deviation."],["Visualizations, such as scatter plots and histograms, can reveal anomalies and patterns in the data, aiding in identifying potential issues early in the data analysis process."],["Outliers, values significantly distant from others, should be identified and handled appropriately, either by correcting mistakes, retaining legitimate outliers for model training, or applying techniques like clipping."],["Statistical evaluation helps in understanding the distribution and characteristics of data, providing insights into potential feature and label relationships."],["While basic statistics and visualizations provide valuable insights, it's essential to remain vigilant as anomalies can still exist in seemingly well-balanced data."]]],[]]
