Simple Visualization
The Iris dataset contains information about sepal and petal dimensions of three species of Iris flower. For exercise purposes, the dataset has been stored across different sources: a SQLite database, a CSV file, and an Excel file. Data Rows (flower measures) are stored in SQLite and Excel.
In this workflow, first we read the two blocks of rows and concatenate them.
Then, the class number is replaced with the actual class name from the CSV file.
When all information has been blended, some interactive composed visualization is performed in the component named "Visualization": bar chart, histogram, parallel coordinates, box plot, scatter plot, table view.
The Iris dataset contains information about sepal and petal dimensions of three species of Iris flower. For exercise purposes, the dataset has been stored across different sources: a SQLite database, a CSV file, and an Excel file. Data Rows (flower measures) are stored in SQLite and Excel.
In this workflow, first we read the two blocks of rows and concatenate them.
Then, the class number is replaced with the actual class name from the CSV file.
When all information has been blended, some interactive composed visualization is performed in the component named "Visualization": bar chart, histogram, parallel coordinates, box plot, scatter plot, table view.