List three types of EDA that could be performed on a dataset
1. Summary statistics: This type of EDA involves calculating basic statistical measures such as mean, median, mode, standard deviation, range, and percentiles to understand the central tendency, spread, and distribution of the data.
2. Data visualization: Using charts and graphs, data visualization allows for the representation of data in a visual format to identify patterns, trends, outliers, and relationships within the dataset. Common types of data visualization techniques include histograms, scatter plots, box plots, and bar charts.
3. Correlation analysis: This type of EDA involves investigating the relationships between variables in the dataset to determine how they are related to each other. Correlation analysis can help identify variables that are highly correlated, which may indicate potential multicollinearity issues in regression analysis.