Univariate Analysis
| Map > Data Science > Explaining the Past > Data Exploration > Univariate Analysis | ||
Univariate Analysis |
||
| Univariate analysis explores variables (attributes) one by one. Variables could be either categorical or numerical. There are different statistical and visualization techniques of investigation for each type of variable. Numerical variables can be transformed into categorical counterparts by a process called binning or discretization. It is also possible to transform a categorical variable into its numerical counterpart by a process called encoding. Finally, proper handling of missing values is an important issue in mining data. | ||
|
|
||