Correlation Analysis is a statistical technique used to determine the relationship between two or more variables. It is a crucial step in Exploratory Data Analysis (EDA), and helps to identify patterns, trends, and relationships in data. The outcome of correlation analysis is a correlation coefficient, which can be positive, negative, or zero. Positive Correlation Positive …
Exploratory Data Analysis (EDA) is the process of analysing data in an open-minded way, to discover underlying patterns and relationships. It’s is a powerful tool to understand the data and identify any outliers or anomalies.
Data cleaning is an essential step in the process of data analysis and modeling. It is the process of identifying and correcting errors and inconsistencies in the data set. Improving data quality is essential for the success of any data-driven project. This article will discuss some common data cleaning techniques that can be used to …