Penerapan Teknik Analisis Data untuk Prediksi Penjualan Exploratory Data Analysis (EDA)
Kata Kunci:
Exploratory Data Analysis, sales prediction, data analysis, regression, machine learning.Abstrak
This study aims to apply data analysis techniques in forecasting sales using the Exploratory Data Analysis (EDA) approach. EDA is used as an initial step to understand the characteristics and patterns of data, thus facilitating the sales prediction process. Through EDA, data is analyzed using statistical visualization, data processing, and identification of important patterns that can affect sales. After understanding the data structure, a predictive model is built using regression and machine learning techniques to estimate future sales. The results of the study show that EDA provides in-depth insights into the variables that most influence sales fluctuations, and is able to improve the accuracy of model predictions. These findings reinforce the importance of implementing EDA as a fundamental step in the data analysis cycle to support more targeted business decisions.
Unduhan
Referensi
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