What Univariate is
Univariate analysis is the process of analyzing a single variable or feature. It is a descriptive method used to understand the distribution and relationship of a single variable to another, and to identify and address any outliers present in the data.
Steps for Univariate Analysis:
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Identify the single variable to be analyzed.
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Collect the data associated with the single variable.
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Examine the data to understand the range, central tendency, and distribution.
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Construct a graph or chart to visualize the data.
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Analyze any outliers present in the data.
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Draw conclusions from the data and make appropriate decisions.
Examples
- Estimating the mean of a population using a single set of sample data.
- Assessing the probability of a certain outcome given a single event.
- Calculating the median of a single set of data.
- Measuring the skewness of a single distribution.
- Examining the correlation between two variables.
- Testing whether a single variable is normally distributed.
- Estimating the variance of a single population.