![]() We will be using Automobile Dataset for analysis. To understand EDA better let us take an example. The outcomes of EDA helps businesses to know their customers, expand their business and take decisions accordingly. It allows Analysts to understand the data better before making any assumptions. ![]() This proves that the model is effective and can explain the change of house price to a certain extent. The main purpose of EDA is to detect any errors, outliers as well as to understand different patterns in the data. Concerning the overall model, the adjusted R-squared value of the model is 0.7328, and the F-statistic value is 96.16 along with its p-value which is far less than 0.05.
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