Are you new to Statistics? Orange is an open source machine learning and data visualization product. In this article, we will take a quick look into how to perform descriptive statistics very easily.

Step 1 : Open Orange software Click on Data>File and upload a dataset

We can see the characteristics of the dataset

Step 2 : Click on "Data Table" in the Data Section We can now visualize the dataset as a table

Step 3 : From the Visualize section, click on "Box Plot", "Distribution" and "Scatter Plot" The "Feature Statistics" is in the Data Section

You're done! Now you can see values when analyzing data such as: 1. Feature Statistics

2. Box Plot

3. Distributions

4. Scatter Plot

One of the most valuable things about Orange is its speed to perform quick statistical analysis. However, the data is not presented as a file, nor as a table in order to export. As a consequence, values such as Standard Deviation or Variance have to be calculated from the results given in Box Plots, Distributions, etc.