Hello and welcome to Orange Tutorials. My name is Aida and I'll be a guide in the world of data science. Let's dig in. You have probably already downloaded and installed orange. If not, you will find the detailed installation guide in the link below. When you open orange, the first thing you will see is a welcome screen. From here, you can start a new data analysis workflow, open a recent one, or explore tutorials. Okay, let's exit the welcome screen. Orange starts with a blank canvas. This is where all the magic will take place. But every magic needs some secret ingredients. Our ingredients are called widgets. Widgets are computational units of orange. They read the data, process it, visualize it, do clustering, build predictive models, and otherwise help you to explore the data. You will find them on the left hand side of the screen. Most data analysis workflows begin with a file widget, with which we load our data. Click on the file widget and it will appear in the canvas. Open it with a double click. Go to browse documentation sets and load one of the existing data files that come with orange. You can naturally load your own data. But for the sake of simplicity, let's go with the famous Iris dataset. Now we would like to see what we've just loaded. Click on the data table and the widget will appear in canvas. Widgets communicate with one another. They have an input channel, an output channel, or both. To feed the data from the file widget to the data table, drag a line from the right output side of the file widget to the left input side of the data table widget. Now open the data table. Wow, that's a lot of numbers in columns and rows. Let's instead plot the data. We will use scatterplot and connect it with the file widget. Much better. And with this, you just set up your first workflow. Congratulations.