GETTING STARTED | DATA LITERACY | KNIME ANALYTICS PLATFORM
SOP: Data Analysis with KNIME (Introductory Level)
An essential tutorial to get started
I recently discovered KNIME, an open-source data analysis tool powered by AI. In the video, I demonstrate how to use nodes to create workflows, from opening Excel files to creating visualizations like bar charts and pie charts.
The tool simplifies data analysis by allowing easy drag-and-drop functionality. No prior data analysis knowledge is needed to get started.
Watch to see how KNIME can streamline your data analysis process!
Objective
To utilize KNIME, an open-source data analysis tool, to analyze data and create visualizations efficiently.
Key Steps
- Opening an Excel File:
- Drag the “Excel Reader” node onto the workflow sheet.
- Double click on the node to open a dialogue box.
- Browse and select the Excel file to open.
- Click on “Apply” to open the file.
2. Data Analysis and Visualization:
- After opening the file, add a “Column Filter” node to filter data as needed.
- Connect the “Column Filter” to other nodes like a “Bar Chart” for visualization.
- Customize the nodes and settings based on the analysis requirements.
3. Utilizing Additional Features:
- Explore other nodes like data type modifiers, report creators, etc.
- Experiment with various data visualization options like value cups, aggregators, splitters, etc.
Cautionary Notes
- Ensure proper data linking between nodes for accurate analysis.
- Exclude irrelevant columns using the “Column Filter” for focused analysis.
- Be cautious when modifying advanced settings to avoid unintended changes in the analysis.
Tips for Efficiency
- Familiarize yourself with the tool’s interface and functionalities.
- Practice dragging and dropping nodes to build workflows efficiently.
- Utilize the AI assistant for guidance and suggestions in constructing workflows.
- Regularly save your work to avoid losing progress.
By following these steps, you can effectively use KNIME for data analysis and visualization with ease.