Discovering exploratory statistics
Exploratory statistics refers to the initial phase of data analysis where various statistical techniques are employed to understand the main characteristics of a dataset. There are many techniques available, but the most used one is the following.
EDA
EDA is an approach to analyzing data that focuses on understanding the main characteristics, patterns, and relationships within a dataset. It involves using statistical techniques and visualizations to summarize and explore the data to gain insights and formulate hypotheses. Here are some key steps and techniques involved in EDA:
- Data summary: Start by examining the basic summary statistics of the dataset, such as the mean, median, standard deviation, minimum, maximum, and so on. This gives an initial understanding of the central tendency, spread, and distribution of the data.
- Data distribution: Examine the distribution of individual variables to identify any skewness or non-normality...
