Garis besar topik

  • Data exploration is the initial process in data analysis that aims to understand the characteristics, structure, and patterns in a dataset. This stage involves using statistical and visualization techniques to identify distributions, relationships between variables, missing values, and outliers. Data exploration helps researchers gain initial insights into the data, so as to make better decisions in the selection of subsequent analysis and modeling methods.

    • Mengapa Analisis Data Eksploratif (EDA) penting dilakukan sebelum menerapkan metode statistik lebih lanjut?