Learn Tableau by Working on Exciting Dashboards - Donut Chart

The video tutorial guides viewers through creating a Netflix analysis dashboard using a dataset. It covers the dataset's columns, connecting to the dataset via a CSV file, and creating a donut chart to visualize data. The tutorial includes detailed steps for formatting and finalizing the chart, including adding labels and adjusting colors.

What is the purpose of the 'show ID' column in the Netflix dataset?

• To indicate the release year of the show

• To specify the director of the show

• To serve as a unique identifier for each show

• To identify the genre of the show

Which file format is used to connect to the Netflix dataset?

• JSON

• Excel

• XML

• CSV

How is a donut chart different from a pie chart?

• A donut chart is always black and white

• A donut chart has a center cut out

• A donut chart is 3D

• A donut chart uses bars instead of slices

What is the first step in creating a donut chart?

• Creating a placeholder

• Adding data labels

• Setting the background color

• Adding colors to the chart

What is the purpose of creating a dual axis in a donut chart?

• To add more colors

• To create a 3D effect

• To overlay a circle on the pie chart

• To increase the size of the chart

How can you remove the axis lines in the donut chart?

• By adding more data

• By increasing the size of the chart

• By adjusting the row and column dividers

• By changing the chart type

What is the final step in formatting the donut chart?

• Changing the chart type

• Adding a legend

• Adjusting the background color

• Adding a title

How can you display the total number of titles in the donut chart?

• By adding a new column

• By using a quick table calculation

• By changing the chart type

• By adding a new sheet

What color is suggested for movies in the donut chart?

• Green

• Blue

• Yellow

• Red

Why is the legend hidden in the final donut chart?

• To save space

• To focus on the colors

• To make the chart look cleaner

• Because the labels already provide the information