311 results
- Go to itemIn this workflow, a number of ETL operations are performed on the sales2008-2011.csv dataset. Besides showing what ETL features a…10
- Go to itemCreate a pivot table with one or more group columns and one or more pivot columns. Apply basic aggregation methods like sum and c…8
- Go to itemThis Workflow demonstrates the usage of "String Manipulation" and "Rule Engine" nodes for data transformation. The objective of t…8
- Go to itemThis workflow shows three different data manipulation operations, namely: - create three categories of people based on their week…5
- Go to itemThis workflow demonstrates using flow variables in the date and time nodes. Here the use case is to filter the last full week of …4
- Go to itemThis workflow demonstrates the Indexing & Searching plugin for address database cleansing. It uses fuzzy queries to identify typo…4
- Go to itemThis workflow is based on the adult.csv data set. Try it out to: 1. Remove duplicates - keep the first or last appearance of the …3
- Go to itemA Joiner node joins two tables together based on one or more common key values. Possible join modes: inner join, left outer join,…3
- Go to itemDemonstrates the power of advanced queries to filter a given data table based on the values of several columns at once. The table…3
- Go to itemThis workflow shows basic data aggregation methods that the GroupBy node offers. We group by one or multiple attributes and apply…2
- Go to itemThis workflow trains a number of data analytics models and automatically selects the best model to predict departure delays from …2
- Go to itemThis workflow reads timesheets from Excel files stored on Google Drive and additional information about employees and projects fr…2
- Go to itemThe goal of the workflow is to demonstrate the creation and working with collection cells. It is divided into three parts. The la…2
- Go to itemThis workflow is based on adult.csv data set and demonstrates column filter examples using manual selection with a Column Filter …2
- Go to itemOn adult.csv data set: 1. calculate the average age and number of rows for the 4 groups (sex, income) and join the corresponding …2
- Go to itemThis workflow demonstrates the concatenation of two or more tables. It also shows how to treat the missing columns by selecting e…2
- Go to itemIn this workflow, a number of ETL operations are performed on the sales2008-2011.csv dataset. Besides showing what ETL features a…2
- Go to itemThis workflow shows the usage of Table Difference Finder node. A csv file is read in. The data are modified in one branch: - all …2
- Go to itemThis workflow shows statistical aggregation methods that the GroupBy node offers. We group by one or multiple attributes and appl…1
- Go to itemIn this workflow, a number of ETL operations are performed on the sales2008-2011.csv dataset. Besides showing what ETL features a…1