01_Data_Summarization

This workflow provides insights into the Iris.csv dataset by generating graphical and numerical summaries of the data.

The main aim of thie workflow is to show Univriate and Bivariate statistical analysis. With regard to Univariate analysis we compute:

Measures of Central Tendency - Mean, Median, Mode.
Measures of Variability - Range, Variance, and Standard Deviation.
Measures of Shape Distribution - Skewness and Kurtosis.

With regard to Bivariate Analysis, we compute:

Covarience and Correlation-Linear and Rank Correlation.

We also show graphical visualization of pairwise correlation with a Scatter plot.

External resources

• Know Your Data with Descriptive Statistics in KNIME