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25 STEPS 1. We are going to create a nested table that helps us identify how many times a month males in Toronto watch European football. Find where your values may be. In this case I am going to click Television (Generic). 2. Scroll through the list of values until you find the one you are looking for. You could use the search bar, but browsing can help more. The search in Vividata is a little touchy. 3. Once you've found it you can select it and drag-and-drop it under Rows or select Add as question.If you're not sure a value is going to have the information you're looking for, select View answers to see the responses. 4. If there is anything in your boxes, click the X to remove them. 5. With your mouse, click and drag the value over to the bottom grey box. 5b. Drop 6. Next we'll add our demographic values. Select Demographics. 7. Identify the values you want to add. We have selected Markets. Drag and drop it over under Columns. 8. We don't want all markets, just Toronto. We can isolate to it by selecting the 40 of 40 selected. 9. We now have a list of all the answers participants could have responded with. You can select multiple options if you would like. So let's select those from the "Horseshoe" region of Ontario. To select multiple options you CTRL + click. 10. When you click away you will now see a 5 of 40 selected. 11. Let's add a value to break down our audience by age. In this case I have selected Age(Summary) but there are other ways age can de displayed such as birth year, generation, and specific age. 12. Drag and drop your value over under the Columns section. 12b. Drop 13. We will add our final value, Demographics\Gender. 14. Drag and drop the value to Columns. 14b. Drop 15. To narrow down to males, select 3 of 3 selected. 16. There are very few options here, but we will select Male. 17. Click Generate table when you've added all your values. 18. You will now have a lot of data to look over but it's not finding the intersections of the values. We want to create a Nested Table. Select the Splits icon along the top second level menu. 19. Click Nest variable splits 20. Click Update table 21. Now we have all our data nested! But perhaps this data isn't quite what we wanted. We can edit our tables by selecting Rows, Columns and Filters along the top. 22. Perhaps in this case you decide you only want the ages of 18-65+ and only in the true Toronto market. We can update these answers by selecting the # of # selected. 23. Update to select all the 18-24 and 65+. 24. Once you've updated your values select Generate table again. 25. We now have some very specific data about European soccer viewing habit of Toronto males.You can adjust this data more or even export it to Excel from the options along the top. Here's an interactive tutorial ** Best experienced in Full Screen (click the icon in the top right corner before you begin) **

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Hailey Wyman

@Seneca College

Toronto, ON


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Vividata- Getting Started by Hailey Wyman is licensed under a Creative Commons Attribution-NonCommercial License (CC BY-NC), except where otherwise noted.