Summary
Data analytics is a powerful method through which you analyze raw data to find patterns and gather predictions that help you to understand the world. The goal of analytics is to turn data into information and knowledge. To accomplish this goal, statistics, or descriptive statistics and statistical significance testing, are used to understand data.
Univariate analysis, a branch of descriptive statistics, can be utilized to understand a single variable of data. It can also be used to find outliers and the distribution of data by utilizing frequency distributions and quantiles. It is useful in finding the central tendency of a variable by calculating the mean, median, and mode of data and the dispersion of data using the range, standard deviation, and IQR.
Bivariate analysis is also used to understand the relationship between datasets. You can determine trends, changes in trends, periodic behavior, and anomalous points regarding two variables by using scatterplots. You can...
