Introduction to Orange Tool
Introduction to Orange Tool
Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative rapid qualitative data analysis and interactive data visualization
How to use workflows in orange?
1. We can select our own data set or can chose one from already available, then after selecting the data set we can select different options out of many available here I have selected Data table.
We have selected heart disease dataset.
2. Clicking on Data table we will be able to see all the entries in the data table of the selected dataset
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3. Then we can again draw another widget like for instance visualization widget and connect to file widget, which will help us visualize the data by showing us the graphs of all the features in the data.
4. There is also an option where you can use scatter plot directly and can visualize the data in scatter plot. It will also separate different classes on the basis of the features by ranking them.
5. Then we can connect a additional widget to scatter plot to visualize the selected data in table form.
- There are various different options available for you to try, remember if any changes are done in one widget then it will be immediately propagated through the work flow.
How to do basic data exploration (like data distribution, data information)?
Data Distribution
- Data distribution help us visualize the data by selecting different features and have a look at them using different graphs.
Data Info
- It gives information about data set such as name, size(rows, columns), features(categorical, numeric), Data attributes etc.
Scatter Plot:
How to load your data in Orange and how to load external data from API in Orange?
- You can load your own data set using local file from the computer or you can copy paste url and orange tool will directly import the data set from there.
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